pdf
stringlengths 49
199
⌀ | aff
stringlengths 1
1.36k
⌀ | year
stringclasses 19
values | technical_novelty_avg
float64 0
4
⌀ | video
stringlengths 21
47
⌀ | doi
stringlengths 31
63
⌀ | presentation_avg
float64 0
4
⌀ | proceeding
stringlengths 43
129
⌀ | presentation
stringclasses 796
values | sess
stringclasses 576
values | technical_novelty
stringclasses 700
values | arxiv
stringlengths 10
16
⌀ | author
stringlengths 1
1.96k
⌀ | site
stringlengths 37
191
⌀ | keywords
stringlengths 2
582
⌀ | oa
stringlengths 86
198
⌀ | empirical_novelty_avg
float64 0
4
⌀ | poster
stringlengths 57
95
⌀ | openreview
stringlengths 41
45
⌀ | conference
stringclasses 11
values | corr_rating_confidence
float64 -1
1
⌀ | corr_rating_correctness
float64 -1
1
⌀ | project
stringlengths 1
162
⌀ | track
stringclasses 3
values | rating_avg
float64 0
10
⌀ | rating
stringlengths 1
17
⌀ | correctness
stringclasses 809
values | slides
stringlengths 32
41
⌀ | title
stringlengths 2
192
⌀ | github
stringlengths 3
165
⌀ | authors
stringlengths 7
161
⌀ | correctness_avg
float64 0
5
⌀ | confidence_avg
float64 0
5
⌀ | status
stringclasses 22
values | confidence
stringlengths 1
17
⌀ | empirical_novelty
stringclasses 763
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null |
University of Utah; Visa Research
|
2022
| 2.6 |
https://iclr.cc/virtual/2022/poster/6548; None
| null | 0 | null | null | null |
2;2;3;3;3
| null |
Prince Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff Phillips
|
https://iclr.cc/virtual/2022/poster/6548
|
cross-lingual word embeddings;natural language processing
| null | 2.6 | null |
https://openreview.net/forum?id=Nh7CtbyoqV5
|
iclr
| 0 | 0.658808 | null |
main
| 6 |
3;5;6;8;8
|
3;2;4;4;4
|
https://iclr.cc/virtual/2022/poster/6548
|
Normalization of Language Embeddings for Cross-Lingual Alignment
| null | null | 3.4 | 4 |
Poster
|
4;4;4;4;4
|
2;3;2;3;3
|
null |
Beijing National Research Center for Information Science and Technology (BNRist), State Key Lab on Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University; JD Explore Academy, JD.com; Institute for AI Industry Research (AIR), Tsinghua University; UT Austin
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6057; None
| null | 0 | null | null | null |
3;3;3
| null |
Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, Xiaohong Liu
|
https://iclr.cc/virtual/2022/poster/6057
| null | null | 3.333333 | null |
https://openreview.net/forum?id=NkZq4OEYN-
|
iclr
| 1 | -0.5 |
https://yyf17.github.io/SAAVN
|
main
| 7.333333 |
6;8;8
|
4;4;3
|
https://iclr.cc/virtual/2022/poster/6057
|
Sound Adversarial Audio-Visual Navigation
| null | null | 3.666667 | 3.666667 |
Poster
|
3;4;4
|
3;4;3
|
null |
The Johns Hopkins University Applied Physics Laboratory; Department of Computer Science, Duke University; Department of Computer Science, The University of North Carolina
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/5958; None
| null | 0 | null | null | null |
1;3;3;3
| null |
Christopher Bender, Patrick Emmanuel, Michael Reiter, Junier Oliva
|
https://iclr.cc/virtual/2022/poster/5958
|
integration;flow;likelihood;classification;regression;out of distribution;regularization
| null | 2.5 | null |
https://openreview.net/forum?id=NlObxR0rosG
|
iclr
| -0.145741 | 0.167444 | null |
main
| 5.25 |
1;6;6;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/5958
|
Practical Integration via Separable Bijective Networks
| null | null | 3.25 | 3.25 |
Poster
|
3;4;4;2
|
1;3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
Neuromorphic Computing;Variational Auto-encoders;Representation Learning;Spiking Neural Networks;Self-supervised Learning
| null | 2.25 | null | null |
iclr
| 0.140028 | 0.802181 | null |
main
| 3.25 |
1;3;3;6
|
1;2;3;3
| null |
Encoding Event-Based Gesture Data With a Hybrid SNN Guided Variational Auto-encoder
| null | null | 2.25 | 3.5 |
Reject
|
4;3;3;4
|
1;2;3;3
|
null |
Computer Science and Mathematics Division, Oak Ridge National Laboratory; Computational Sciences and Engineering Division, Oak Ridge National Laboratory
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6974; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
|
https://iclr.cc/virtual/2022/poster/6974
| null | null | 2.25 | null |
https://openreview.net/forum?id=NoB8YgRuoFU
|
iclr
| 1 | 0 | null |
main
| 5.5 |
5;5;6;6
|
4;3;3;4
|
https://iclr.cc/virtual/2022/poster/6974
|
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
| null | null | 3.5 | 3.5 |
Poster
|
3;3;4;4
|
2;2;3;2
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;1;2;3
| null | null | null |
Kernel;Quantum;Classification
| null | 2.75 | null | null |
iclr
| -0.345857 | 0.904534 | null |
main
| 2.5 |
1;1;3;5
|
1;1;2;2
| null |
Where can quantum kernel methods make a big difference?
| null | null | 1.5 | 3.75 |
Reject
|
4;5;2;4
|
2;2;4;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;3;2
| null | null | null |
Fairness;Machine Learning
| null | 2.25 | null | null |
iclr
| 0.333333 | 0.57735 | null |
main
| 4.5 |
3;5;5;5
|
3;3;4;4
| null |
Adversarial Fairness Network
| null | null | 3.5 | 4.25 |
Withdraw
|
4;4;4;5
|
2;2;3;2
|
null | null |
2022
| 1.6 | null | null | 0 | null | null | null |
2;1;1;2;2
| null | null | null |
Multilingual Language Model;Natural Language Processing;Transliteration;Underrepresented Language Modeling
| null | 2.2 | null | null |
iclr
| 0 | 0.583333 | null |
main
| 4.4 |
3;3;5;5;6
|
3;2;3;3;3
| null |
Transliteration: A Simple Technique For Improving Multilingual Language Modeling
| null | null | 2.8 | 4 |
Reject
|
5;3;4;4;4
|
2;2;2;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;3;2
| null | null | null |
deep learning;uncertainty estimation;evidential models;misclassification detection;out-of-distribution detection;confidence learning
| null | 2.25 | null | null |
iclr
| 0.207514 | 0.899229 | null |
main
| 4.75 |
3;5;5;6
|
1;2;3;3
| null |
Effective Uncertainty Estimation with Evidential Models for Open-World Recognition
| null | null | 2.25 | 3.75 |
Reject
|
3;4;5;3
|
1;3;2;3
|
null | null |
2022
| 3.25 | null | null | 0 | null | null | null |
3;3;3;4
| null | null | null | null | null | 2.25 | null | null |
iclr
| -0.942809 | 0 | null |
main
| 6 |
5;5;6;8
|
4;4;3;4
| null |
C-MinHash: Improving Minwise Hashing with Circulant Permutation
| null | null | 3.75 | 3.75 |
Reject
|
4;4;4;3
|
2;2;3;2
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null | null | null | 2 | null | null |
iclr
| 1 | 0 | null |
main
| 4.333333 |
3;5;5
|
4;4;4
| null |
Comparing Human and Machine Bias in Face Recognition
| null | null | 4 | 3.666667 |
Withdraw
|
3;4;4
|
2;2;2
|
null |
MIT CSAIL; Northeastern University; Allegheny College
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/5988; None
| null | 0 | null | null | null |
3;3;3
| null |
Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas
|
https://iclr.cc/virtual/2022/poster/5988
| null | null | 3.333333 | null |
https://openreview.net/forum?id=NudBMY-tzDr
|
iclr
| 0 | 0 |
http://milan.csail.mit.edu/
|
main
| 8 |
8;8;8
|
3;4;4
|
https://iclr.cc/virtual/2022/poster/5988
|
Natural Language Descriptions of Deep Visual Features
| null | null | 3.666667 | 3.666667 |
Oral
|
4;4;3
|
3;4;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
graph neural networks;adversarial attacks;heterophily;structural perturbation;robustness;relation
| null | 2.75 | null | null |
iclr
| 0.471405 | 0.492366 | null |
main
| 6 |
5;5;6;8
|
4;2;3;4
| null |
On the Relationship between Heterophily and Robustness of Graph Neural Networks
| null | null | 3.25 | 3.75 |
Reject
|
4;3;4;4
|
2;2;3;4
|
null |
Under Review at ICLR 2022
|
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
reinforcement learning;curriculum learning;sub-tasks;adversarial environment;path planning
| null | 2.5 | null | null |
iclr
| -0.57735 | 0.57735 | null |
main
| 5.75 |
5;6;6;6
|
3;4;3;4
| null |
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
| null | null | 3.5 | 3.5 |
Reject
|
4;4;3;3
|
2;2;3;3
|
null |
SKL of Computer Architecture, Institute of Computing Technology, CAS; University of Science and Technology of China; SKL of Computer Architecture, Institute of Computing Technology, CAS; SKL of Computer Architecture, Institute of Computing Technology, CAS; University of Chinese Academy of Sciences; SKL of Computer Architecture, Institute of Computing Technology, CAS; Corresponding author
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/7064; None
| null | 0 | null | null | null |
3;2;3
| null |
Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
|
https://iclr.cc/virtual/2022/poster/7064
| null | null | 1.333333 | null |
https://openreview.net/forum?id=NyJ2KIN8P17
|
iclr
| -0.5 | 0.866025 | null |
main
| 4.666667 |
3;3;8
|
3;2;4
|
https://iclr.cc/virtual/2022/poster/7064
|
Neural Program Synthesis with Query
| null | null | 3 | 4.333333 |
Poster
|
4;5;4
|
0;1;3
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
3;2;3
| null | null | null |
Knowledge Distillation;Image-to-Image Translation;GAN;CycleGAN;Pix2Pix
| null | 2.666667 | null | null |
iclr
| -0.755929 | -0.944911 | null |
main
| 4.666667 |
3;5;6
|
4;3;3
| null |
Not All Regions are Worthy to be Distilled: Region-aware Knowledge Distillation Towards Efficient Image-to-Image Translation
|
To be released soon
| null | 3.333333 | 4.666667 |
Withdraw
|
5;5;4
|
3;2;3
|
null |
Department of Computer Science, Stanford University
|
2022
| 2.6 |
https://iclr.cc/virtual/2022/poster/7118; None
| null | 0 | null | null | null |
2;4;2;3;2
| null |
Kaidi Cao, Maria Brbic, Jure Leskovec
|
https://iclr.cc/virtual/2022/poster/7118
|
deep learning;semi-supervised learning;novel class discovery;clustering
| null | 2.4 | null |
https://openreview.net/forum?id=O-r8LOR-CCA
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6;6
|
4;3;4;3;3
|
https://iclr.cc/virtual/2022/poster/7118
|
Open-World Semi-Supervised Learning
| null | null | 3.4 | 4.2 |
Poster
|
4;5;3;5;4
|
3;3;0;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
3;2;2;2
| null | null | null |
vision transformer (ViT);adversarial robustness
| null | 2.75 | null | null |
iclr
| 0 | 0 | null |
main
| 5 |
5;5;5;5
|
3;3;3;3
| null |
On the Adversarial Robustness of Vision Transformers
| null | null | 3 | 4 |
Reject
|
4;3;5;4
|
3;3;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
1;2;3;3
| null | null | null |
Deep Neural Network;Compression;Knowledge Distillation
| null | 1.75 | null | null |
iclr
| -0.57735 | 0.301511 | null |
main
| 4.5 |
3;3;6;6
|
2;3;2;4
| null |
Adjoined Networks: A Training Paradigm with Applications to Network Compression
| null | null | 2.75 | 4.25 |
Withdraw
|
5;4;4;4
|
1;0;3;3
|
null |
University of Science and Technology of China; University of Texas at Austin
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6158; None
| null | 0 | null | null | null |
2;3;3;4
| null |
Miao Lu, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
|
https://iclr.cc/virtual/2022/poster/6158
|
Pruning;Frank-Wolfe
| null | 2.75 | null |
https://openreview.net/forum?id=O1DEtITim__
|
iclr
| 0.132453 | 0 | null |
main
| 6.25 |
5;6;6;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6158
|
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
|
https://github.com/VITA-Group/SFW-Once-for-All-Pruning
| null | 3 | 3.75 |
Spotlight
|
4;4;3;4
|
2;3;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
graph representation learning;directed graph;latent space model;variational autoencoder
| null | 2.25 | null | null |
iclr
| 0 | 0.707107 | null |
main
| 4.5 |
3;3;6;6
|
2;3;4;3
| null |
A Deep Latent Space Model for Directed Graph Representation Learning
| null | null | 3 | 3.5 |
Reject
|
4;3;4;3
|
2;2;2;3
|
null |
Department of Electrical and Computer Engineering, The University of Texas at Austin
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/6656; None
| null | 0 | null | null | null |
3;3;2
| null |
Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
|
https://iclr.cc/virtual/2022/poster/6656
|
Deep ViT;Spectral Analysis;Attention Collapse;Patch Diversity
| null | 2 | null |
https://openreview.net/forum?id=O476oWmiNNp
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6
|
3;2;3
|
https://iclr.cc/virtual/2022/poster/6656
|
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
|
https://github.com/VITA-Group/ViT-Anti-Oversmoothing
| null | 2.666667 | 3.666667 |
Poster
|
4;5;2
|
2;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;3
| null | null | null |
Lottery Ticket Hypothesis;Sparse Network Optimization;Sparse Training
| null | 1.75 | null | null |
iclr
| -0.142134 | 0.994937 | null |
main
| 5 |
3;3;6;8
|
2;2;3;4
| null |
Spending Your Winning Lottery Better After Drawing It
| null | null | 2.75 | 3.75 |
Withdraw
|
3;5;3;4
|
1;2;0;4
|
null |
Microsoft Research Asia; Microsoft Azure AI; Xi’an Jiaotong University; Beihang University
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6280; None
| null | 0 | null | null | null |
3;3;3;4
| null |
Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
|
https://iclr.cc/virtual/2022/poster/6280
|
table pre-training;sythetic pre-training;SQL execution;table-based question answering;table-based fact verification
| null | 3.25 | null |
https://openreview.net/forum?id=O50443AsCP
|
iclr
| 0.816497 | 1 | null |
main
| 7.5 |
6;8;8;8
|
1;4;4;4
|
https://iclr.cc/virtual/2022/poster/6280
|
TAPEX: Table Pre-training via Learning a Neural SQL Executor
|
https://github.com/microsoft/Table-Pretraining
| null | 3.25 | 4 |
Poster
|
3;4;5;4
|
3;4;3;3
|
null |
Under double-blind review
|
2022
| 2.666667 | null | null | 0 | null | null | null |
2;3;3
| null | null | null |
Deep reinforcement learning;risk averse Markov decision processes;expectile risk measures;derivative pricing
| null | 2.666667 | null | null |
iclr
| -0.5 | 0 | null |
main
| 5.666667 |
5;6;6
|
3;3;3
| null |
Deep Reinforcement Learning for Equal Risk Option Pricing and Hedging under Dynamic Expectile Risk Measures
| null | null | 3 | 3.333333 |
Reject
|
4;2;4
|
2;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Federated Learning via Plurality Vote
| null | 2.25 | null | null |
iclr
| 0.19245 | 0 | null |
main
| 4.25 |
3;3;5;6
|
3;3;3;3
| null |
Federated Learning via Plurality Vote
| null | null | 3 | 3.5 |
Reject
|
3;4;3;4
|
2;2;2;3
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;2;3
| null | null | null |
privacy preserving machine learning;large scale machine learning;multi-task learning
| null | 1.666667 | null | null |
iclr
| -0.866025 | -0.5 | null |
main
| 4 |
3;3;6
|
3;4;3
| null |
Private Multi-Task Learning: Formulation and Applications to Federated Learning
| null | null | 3.333333 | 3 |
Reject
|
3;4;2
|
3;2;0
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
Adversarial Imitation Learning;Inverse Reinforcement Learning;Auto-Encoding
| null | 2.75 | null | null |
iclr
| 0.83205 | 0.83205 | null |
main
| 5.5 |
3;5;6;8
|
3;3;4;4
| null |
Auto-Encoding Inverse Reinforcement Learning
| null | null | 3.5 | 3.5 |
Reject
|
3;3;4;4
|
2;2;3;4
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;2;2;2
| null | null | null | null | null | 2 | null | null |
iclr
| -0.816497 | 0 | null |
main
| 3.5 |
3;3;3;5
|
4;4;4;4
| null |
Momentum Conserving Lagrangian Neural Networks
| null | null | 4 | 4 |
Reject
|
4;4;5;3
|
2;2;2;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;2;3
| null | null | null | null | null | 1.75 | null | null |
iclr
| -0.324443 | 0.648886 | null |
main
| 4.75 |
3;5;5;6
|
2;4;3;3
| null |
Neural Latent Traversal with Semantic Constraints
| null | null | 3 | 4 |
Withdraw
|
4;5;4;3
|
2;2;0;3
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
2;2;2;2;4
| null | null | null |
neural network verification;operator splitting;ADMM
| null | 2.4 | null | null |
iclr
| 0.174964 | 0.862582 | null |
main
| 4.8 |
3;3;5;5;8
|
2;3;3;3;4
| null |
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting
| null | null | 3 | 4.2 |
Reject
|
5;4;4;3;5
|
2;2;2;3;3
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
1;2;2;3;4
| null | null | null |
Supervised Node Classification;Spectral Embedding;Social Graphs;Neural Models
| null | 2.2 | null | null |
iclr
| -0.054554 | 0.356348 | null |
main
| 4.8 |
3;3;5;5;8
|
4;3;3;4;4
| null |
Neurally boosted supervised spectral clustering
| null | null | 3.6 | 3.8 |
Reject
|
4;4;4;3;4
|
0;2;2;3;4
|
null |
Dresden University of Technology; Czech Technical University in Prague
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7070; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Alexander (Oleksandr) Shekhovtsov, Dmitrij Schlesinger, Boris Flach
|
https://iclr.cc/virtual/2022/poster/7070
| null | null | 3 | null |
https://openreview.net/forum?id=OIs3SxU5Ynl
|
iclr
| 0.333333 | -0.333333 | null |
main
| 7.5 |
6;8;8;8
|
4;4;3;4
|
https://iclr.cc/virtual/2022/poster/7070
|
VAE Approximation Error: ELBO and Exponential Families
| null | null | 3.75 | 3.25 |
Spotlight
|
3;3;3;4
|
2;4;3;3
|
null |
Department of Physics and Institute for Physics of Intelligence, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; RIKEN Center for Emergent Matter Science (CEMS), Wako, Saitama 351-0198, Japan; Department of Physics and Institute for Physics of Intelligence, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/7160; None
| null | 0 | null | null | null |
2;3;3
| null |
Zhikang T Wang, Masahito Ueda
|
https://iclr.cc/virtual/2022/poster/7160
|
DQN;reinforcement learning;convergence
| null | 2.333333 | null |
https://openreview.net/forum?id=OJm3HZuj4r7
|
iclr
| 0.5 | 0 | null |
main
| 7.333333 |
6;6;10
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/7160
|
Convergent and Efficient Deep Q Learning Algorithm
| null | null | 4 | 3.666667 |
Poster
|
3;4;4
|
2;2;3
|
null | null |
2022
| 3.75 | null | null | 0 | null | null | null |
4;3;4;4
| null | null | null |
Graph Neural Networks;Explanation Evaluation;Out-of-distribution;front-door Adjustment
| null | 3.5 | null | null |
iclr
| 0.57735 | -0.57735 | null |
main
| 7.5 |
6;8;8;8
|
4;3;3;4
| null |
Deconfounding to Explanation Evaluation in Graph Neural Networks
| null | null | 3.5 | 3.5 |
Reject
|
3;4;4;3
|
3;3;4;4
|
null |
Department of Computer Science, The University of Texas at Dallas
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6929; None
| null | 0 | null | null | null |
3;2;3;4
| null |
junfeng guo, Ang Li, Cong Liu
|
https://iclr.cc/virtual/2022/poster/6929
| null | null | 3 | null |
https://openreview.net/forum?id=OM_lYiHXiCL
|
iclr
| 0 | 0 | null |
main
| 7 |
6;6;8;8
|
3;4;3;4
|
https://iclr.cc/virtual/2022/poster/6929
|
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
| null | null | 3.5 | 4 |
Poster
|
4;4;4;4
|
3;2;3;4
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;3;3;2
| null | null | null |
Deep learning;optimization;over-parametrization
| null | 0.25 | null | null |
iclr
| 0.57735 | 0.57735 | null |
main
| 5.5 |
5;5;6;6
|
2;4;4;4
| null |
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
| null | null | 3.5 | 3.75 |
Reject
|
4;3;4;4
|
0;0;1;0
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;2;4
| null | null | null | null | null | 1.5 | null | null |
iclr
| -0.870388 | -0.870388 | null |
main
| 5.75 |
5;5;5;8
|
4;3;4;2
| null |
A Sampling-Free Approximation of Gaussian Variational Auto-Encoders
| null | null | 3.25 | 4.25 |
Reject
|
5;5;4;3
|
2;2;2;0
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
optimal transport
| null | 2.25 | null | null |
iclr
| 0 | 0 | null |
main
| 4 |
3;3;5;5
|
3;3;3;3
| null |
Efficient Semi-Discrete Optimal Transport Using the Maximum Relative Error between Distributions
| null | null | 3 | 3.5 |
Withdraw
|
4;3;4;3
|
2;2;2;3
|
null | null |
2022
| 3.333333 | null | null | 0 | null | null | null |
2;4;4
| null | null | null | null | null | 1.666667 | null | null |
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6
|
4;3;3
| null |
ZARTS: On Zero-order Optimization for Neural Architecture Search
| null | null | 3.333333 | 4.333333 |
Reject
|
4;4;5
|
2;3;0
|
null | null |
2022
| 2.2 | null | null | 0 | null | null | null |
2;2;2;2;3
| null | null | null |
Temporal knowledge graphs;Forecasting;Question matching degree;Answer completing level;Path confidence
| null | 2.2 | null | null |
iclr
| -0.442269 | -0.068041 | null |
main
| 4.4 |
3;3;5;5;6
|
3;2;3;3;2
| null |
Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge Graphs
| null | null | 2.6 | 3.8 |
Withdraw
|
4;4;5;4;2
|
2;2;2;2;3
|
null |
Stanford University; Tsinghua University
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6870; None
| null | 0 | null | null | null |
2;3;2;3
| null |
QI LI, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas Guibas
|
https://iclr.cc/virtual/2022/poster/6870
|
Inter-object Functional Relationship;Learning Interactive Policy for Exploration;Interactive Perception;3D Scene Understanding
| null | 2.5 | null |
https://openreview.net/forum?id=OT3mLgR8Wg8
|
iclr
| 0.57735 | 0.333333 | null |
main
| 6.5 |
6;6;6;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6870
|
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
| null | null | 3.75 | 3.5 |
Poster
|
4;3;3;4
|
2;3;2;3
|
null |
Vector Institute and The Alan Turing Institute; University of Toronto and Vector Institute; University of Toronto
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6094; None
| null | 0 | null | null | null |
1;2;3;4
| null |
Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
|
https://iclr.cc/virtual/2022/poster/6094
|
model distance;model stealing;machine unlearning;fairwashing
| null | 3 | null |
https://openreview.net/forum?id=OUz_9TiTv9j
|
iclr
| -0.70014 | 0.080845 | null |
main
| 5.75 |
3;6;6;8
|
3;4;3;3
|
https://iclr.cc/virtual/2022/poster/6094
|
A Zest of LIME: Towards Architecture-Independent Model Distances
|
https://github.com/cleverhans-lab/Zest-Model-Distance
| null | 3.25 | 3.5 |
Poster
|
4;4;3;3
|
2;3;3;4
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Deep Learning;Neural Networks;Parametric activation function.
| null | 1.75 | null | null |
iclr
| -0.57735 | 0 | null |
main
| 4.25 |
3;3;3;8
|
3;3;3;3
| null |
SAU: Smooth activation function using convolution with approximate identities
| null | null | 3 | 3.5 |
Withdraw
|
3;4;4;3
|
0;2;2;3
|
null | null |
2022
| 1.5 | null | null | 0 | null | null | null |
1;1;2;2
| null | null | null |
Tabular Data Generation;Generative Adversarial Networks;Causality
| null | 1.75 | null | null |
iclr
| -1 | -0.57735 | null |
main
| 2.5 |
1;3;3;3
|
4;4;3;3
| null |
Causal-TGAN: Causally-Aware Synthetic Tabular Data Generative Adversarial Network
| null | null | 3.5 | 4.25 |
Withdraw
|
5;4;4;4
|
2;1;2;2
|
null |
University of California, Berkeley
|
2022
| 2.25 |
https://iclr.cc/virtual/2022/poster/6956; None
| null | 0 | null | null | null |
2;2;3;2
| null |
Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel
|
https://iclr.cc/virtual/2022/poster/6956
| null | null | 2.5 | null |
https://openreview.net/forum?id=OWZVD-l-ZrC
|
iclr
| -0.333333 | -0.333333 | null |
main
| 5.75 |
5;6;6;6
|
3;3;2;3
|
https://iclr.cc/virtual/2022/poster/6956
|
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
| null | null | 2.75 | 3.75 |
Poster
|
4;3;4;4
|
2;3;3;2
|
null |
Aalto University; Improbable AI Lab, Massachusetts Institute of Technology
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6567; None
| null | 0 | null | null | null |
2;2;3;3
| null |
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
|
https://iclr.cc/virtual/2022/poster/6567
|
Deep reinforcement learning;experience replay
| null | 2.75 | null |
https://openreview.net/forum?id=OXRZeMmOI7a
|
iclr
| -0.333333 | 0.555556 | null |
main
| 6.75 |
5;6;8;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6567
|
Topological Experience Replay
| null | null | 3.25 | 4.25 |
Poster
|
4;5;4;4
|
2;3;4;2
|
null |
Google; University of Southern California
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6941; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William Cohen
|
https://iclr.cc/virtual/2022/poster/6941
|
NLP;Entities and Relations;Memory
| null | 3.25 | null |
https://openreview.net/forum?id=OY1A8ejQgEX
|
iclr
| 0 | -0.333333 | null |
main
| 7.5 |
6;8;8;8
|
4;4;3;4
|
https://iclr.cc/virtual/2022/poster/6941
|
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
|
https://github.com/google-research/language/tree/master/language/mentionmemory
| null | 3.75 | 4 |
Poster
|
4;4;4;4
|
3;3;3;4
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;2;4
| null | null | null | null | null | 2.666667 | null | null |
iclr
| 0.5 | 0.5 | null |
main
| 5.333333 |
5;5;6
|
4;3;4
| null |
Kokoyi: Executable LaTeX for End-to-end Deep Learning
| null | null | 3.666667 | 3.666667 |
Reject
|
3;4;4
|
2;2;4
|
null | null |
2022
| 1.8 | null | null | 0 | null | null | null |
1;2;1;3;2
| null | null | null | null | null | 0.8 | null | null |
iclr
| -0.133631 | 0.872872 | null |
main
| 3.4 |
1;3;3;5;5
|
2;2;2;3;3
| null |
Stabilized Self-training with Negative Sampling on Few-labeled Graph Data
| null | null | 2.4 | 4.2 |
Reject
|
4;4;5;4;4
|
0;0;1;3;0
|
null |
; Google
|
2022
| 2 |
https://iclr.cc/virtual/2022/poster/6462; None
| null | 0 | null | null | null |
2;3;2;1
| null |
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Dahl, Zachary Nado, Orhan Firat
|
https://iclr.cc/virtual/2022/poster/6462
|
Optimization;Deep Learning;Training Instability;Curvature;Loss Landscape;Hessian
| null | 3 | null |
https://openreview.net/forum?id=OcKMT-36vUs
|
iclr
| -0.555556 | 0.777778 | null |
main
| 6.75 |
5;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6462
|
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
| null | null | 3.75 | 3.75 |
Poster
|
4;4;3;4
|
2;3;3;4
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Catastrophic forgetting;Continual learning;Neural networks;Masking
| null | 2 | null | null |
iclr
| -0.904534 | 0.57735 | null |
main
| 4 |
3;3;5;5
|
3;3;3;4
| null |
ImpressLearn: Continual Learning via Combined Task Impressions
| null | null | 3.25 | 3.75 |
Reject
|
4;5;3;3
|
2;2;2;2
|
null |
Paper under double-blind review
|
2022
| 1 | null | null | 0 | null | null | null |
1;1;1;1;1
| null | null | null |
Computer Vision;Deep Learning;3D Semantic Segmentation;Medical Imaging
| null | 1 | null | null |
iclr
| -0.612372 | 0.166667 | null |
main
| 1.8 |
1;1;1;3;3
|
3;1;1;3;1
| null |
Utilizing Attention, Linked Blocks, And Pyramid Pooling To Propel Brain Tumor Segmentation In 3D
| null | null | 1.8 | 4.6 |
Withdraw
|
5;5;5;3;5
|
1;1;1;1;1
|
null | null |
2022
| 3.25 | null | null | 0 | null | null | null |
3;3;4;3
| null | null | null | null | null | 3.25 | null | null |
iclr
| -0.942809 | 0 | null |
main
| 5 |
3;5;6;6
|
3;3;4;2
| null |
A Closer Look at Loss Weighting in Multi-Task Learning
| null | null | 3 | 3.5 |
Withdraw
|
5;3;3;3
|
3;3;4;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;2;4
| null | null | null | null | null | 1.25 | null | null |
iclr
| -0.4842 | -0.927173 | null |
main
| 4.75 |
3;5;5;6
|
4;3;3;3
| null |
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
| null | null | 3.25 | 3.25 |
Withdraw
|
4;4;2;3
|
0;0;2;3
|
null |
Under double-blind review
|
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
vision-language models;prompt learning;computer vision;transfer learning
| null | 2.5 | null | null |
iclr
| -0.353281 | 0.225494 | null |
main
| 4.25 |
1;5;5;6
|
3;4;3;3
| null |
Learning to Prompt for Vision-Language Models
| null | null | 3.25 | 4.25 |
Reject
|
5;3;4;5
|
2;2;3;3
|
null |
Department of Computer Science, University of California, San Diego; Department of Computer Science, University of Southern California; Information Sciences Institute, University of Southern California
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6866; None
| null | 0 | null | null | null |
3;3;3;3
| null |
PeiFeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
|
https://iclr.cc/virtual/2022/poster/6866
|
Commonsense reasoning;constrained text generation;knowledge representation
| null | 3.25 | null |
https://openreview.net/forum?id=Oh1r2wApbPv
|
iclr
| -0.57735 | 0 | null |
main
| 7 |
6;6;8;8
|
4;3;4;3
|
https://iclr.cc/virtual/2022/poster/6866
|
Contextualized Scene Imagination for Generative Commonsense Reasoning
|
https://github.com/wangpf3/imagine-and-verbalize
| null | 3.5 | 3.75 |
Poster
|
4;4;4;3
|
3;3;4;3
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
2;3;3
| null | null | null |
differential privacy;natural language models
| null | 2.666667 | null | null |
iclr
| 0.5 | 0 | null |
main
| 4.333333 |
3;5;5
|
3;4;2
| null |
User-Entity Differential Privacy in Learning Natural Language Models
| null | null | 3 | 3.333333 |
Withdraw
|
3;4;3
|
2;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;2;3
| null | null | null |
Model Scaling;Vision Transformer
| null | 3.25 | null | null |
iclr
| 0.777778 | -0.555556 | null |
main
| 4.25 |
3;3;5;6
|
4;3;3;3
| null |
An Investigation on Hardware-Aware Vision Transformer Scaling
| null | null | 3.25 | 3.5 |
Reject
|
3;3;3;5
|
3;3;3;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;1;3
| null | null | null |
Video Chapter Generation;High-level Video Understanding;MultiModal Machine Learning
| null | 2.25 | null | null |
iclr
| 0.522233 | 0 | null |
main
| 3.5 |
3;3;3;5
|
3;2;4;3
| null |
A Two-Stage Framework to Generate Video Chapter
| null | null | 3 | 4.25 |
Withdraw
|
4;5;3;5
|
2;2;1;4
|
null |
University of California, Santa Barbara; ByteDance AI Lab
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6029; None
| null | 0 | null | null | null |
3;4;3;3
| null |
Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li
|
https://iclr.cc/virtual/2022/poster/6029
|
cross-lingual transfer;cross-lingual understanding;manifold mixup
| null | 2.75 | null |
https://openreview.net/forum?id=OjPmfr9GkVv
|
iclr
| 0.816497 | 0.777778 | null |
main
| 6.75 |
5;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6029
|
Enhancing Cross-lingual Transfer by Manifold Mixup
|
https://github.com/yhy1117/X-Mixup
| null | 3.75 | 4 |
Poster
|
3;4;5;4
|
2;3;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
q-learning;reinforcement learning;microsystems;closed-loop control;optical control
| null | 2.333333 | null | null |
iclr
| -0.5 | 1 | null |
main
| 4 |
3;3;6
|
3;3;4
| null |
Q-learning for real time control of heterogeneous microagent collectives
| null | null | 3.333333 | 2.666667 |
Reject
|
2;4;2
|
2;2;3
|
null |
University of Freiburg, Bosch Center for AI; University of Freiburg; University of Mannheim
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6063; None
| null | 0 | null | null | null |
2;2;4;4
| null |
Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter
|
https://iclr.cc/virtual/2022/poster/6063
|
neural architecture search;AutoML;benchmarking;surrogate model
| null | 3 | null |
https://openreview.net/forum?id=OnpFa95RVqs
|
iclr
| -0.235702 | 0.994937 | null |
main
| 6 |
3;5;8;8
|
2;3;4;4
|
https://iclr.cc/virtual/2022/poster/6063
|
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
|
https://github.com/... (Please note that the actual GitHub link is not provided in the text)
| null | 3.25 | 4.5 |
Poster
|
5;4;4;5
|
2;2;4;4
|
null |
Stanford University; Stanford University, Stanford Institute for Human-Centered Artificial Intelligence; Stanford University, NVIDIA Corporation
|
2022
| 2.8 |
https://iclr.cc/virtual/2022/poster/6939; None
| null | 0 | null | null | null |
2;3;3;3;3
| null |
Agrim Gupta, Jim Fan, Surya Ganguli, Li Fei-Fei
|
https://iclr.cc/virtual/2022/poster/6939
|
RL;Modular Robots;Transformers
| null | 2.8 | null |
https://openreview.net/forum?id=Opmqtk_GvYL
|
iclr
| -1 | 0 | null |
main
| 7.2 |
6;6;8;8;8
|
3;3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6939
|
MetaMorph: Learning Universal Controllers with Transformers
| null | null | 3 | 4.4 |
Poster
|
5;5;4;4;4
|
3;3;3;2;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
1;2;3;4
| null | null | null | null | null | 3 | null | null |
iclr
| -0.493742 | 0.994558 | null |
main
| 4.75 |
3;3;5;8
|
2;2;3;4
| null |
Estimating Instance-dependent Label-noise Transition Matrix using DNNs
| null | null | 2.75 | 4.25 |
Reject
|
5;4;4;4
|
2;4;3;3
|
null |
Department of Computer Science and Engineering, Southern University of Science and Technology; University of Washington, Seattle; Australian Artificial Intelligence Institute, University of Technology Sydney
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6152; None
| null | 0 | null | null | null |
3;2;3;3
| null |
Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi
|
https://iclr.cc/virtual/2022/poster/6152
|
model-based offline RL;Pareto front;multi-objective optimization;policy pool;model return-uncertainty trade-off
| null | 2.25 | null |
https://openreview.net/forum?id=OqcZu8JIIzS
|
iclr
| 0.96225 | 0.555556 | null |
main
| 6.75 |
5;6;8;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6152
|
Pareto Policy Pool for Model-based Offline Reinforcement Learning
| null | null | 3.25 | 3.5 |
Poster
|
3;3;4;4
|
3;0;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Image retrieval;Homography learning;Attention;Intermediate supervision
| null | 2 | null | null |
iclr
| -0.676481 | 0.911322 | null |
main
| 3.75 |
1;3;5;6
|
2;2;3;3
| null |
Deep Fusion of Multi-attentive Local and Global Features with Higher Efficiency for Image Retrieval
| null | null | 2.5 | 4.5 |
Reject
|
5;5;5;3
|
2;2;2;2
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
contrastive learning;data augmentation;Siamese representation learning
| null | 2.25 | null | null |
iclr
| -0.492366 | 0.471405 | null |
main
| 5 |
3;5;6;6
|
3;3;3;4
| null |
CRAFTING BETTER CONTRASTIVE VIEWS FOR SIAMESE REPRESENTATION LEARNING
| null | null | 3.25 | 4.25 |
Withdraw
|
5;4;5;3
|
2;2;2;3
|
null |
School of Computing, University of Leeds, UK
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/5921; None
| null | 0 | null | null | null |
2;3;3
| null |
Simin Hong, Anthony Cohn, David Hogg
|
https://iclr.cc/virtual/2022/poster/5921
|
Graph neural networks sentiment analysis node-embedding algorithm diagnostic prediction task
| null | 2.333333 | null |
https://openreview.net/forum?id=OtEDS2NWhqa
|
iclr
| -0.944911 | 0 | null |
main
| 6.333333 |
5;6;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/5921
|
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
| null | null | 4 | 3.666667 |
Poster
|
4;4;3
|
2;2;3
|
null |
New York University, Flatiron Institute; Princeton University
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6237; None
| null | 0 | null | null | null |
2;4;3;3
| null |
Ari Seff, Wenda Zhou, Nick Richardson, Ryan P Adams
|
https://iclr.cc/virtual/2022/poster/6237
|
generative modeling;CAD;transformers;design;geometric constraints
| null | 1.5 | null |
https://openreview.net/forum?id=Ow1C7s3UcY
|
iclr
| 0 | 1 | null |
main
| 7.5 |
6;8;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6237
|
Vitruvion: A Generative Model of Parametric CAD Sketches
| null | null | 3.75 | 4 |
Poster
|
4;4;4;4
|
3;0;3;0
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Imitation Learning;Behavior Style
| null | 2 | null | null |
iclr
| -0.57735 | 0.57735 | null |
main
| 4 |
3;3;5;5
|
3;2;3;3
| null |
Learning the Representation of Behavior Styles with Imitation Learning
| null | null | 2.75 | 3.75 |
Reject
|
4;4;4;3
|
2;1;3;2
|
null |
†TU Wien; ‡Ulm University
|
2022
| 3.5 |
https://iclr.cc/virtual/2022/poster/5970; None
| null | 0 | null | null | null |
3;3;4;4
| null |
Adam Celarek, Pedro Hermosilla Casajus, Bernhard Kerbl, Timo Ropinski, Michael Wimmer
|
https://iclr.cc/virtual/2022/poster/5970
|
deep learning architecture;gaussian convolution;gaussian mixture;3d
| null | 2 | null |
https://openreview.net/forum?id=Oxeka7Z7Hor
|
iclr
| 0.688247 | 0.927173 | null |
main
| 6.25 |
5;6;6;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/5970
|
Gaussian Mixture Convolution Networks
| null | null | 3.25 | 3.5 |
Poster
|
3;4;3;4
|
3;3;0;2
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;4;2;3
| null | null | null |
meta-learning;loss function learning;Domain Generalisation
| null | 3 | null | null |
iclr
| -0.70014 | 0.990148 | null |
main
| 5.75 |
3;6;6;8
|
2;3;3;4
| null |
Loss Function Learning for Domain Generalization by Implicit Gradient
| null | null | 3 | 3.5 |
Reject
|
4;3;4;3
|
3;3;2;4
|
null | null |
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6384; None
| null | 0 | null | null | null |
2;2;3;4
| null |
Matan Haroush, Tzviel Frostig, Ruth Heller, Daniel Soudry
|
https://iclr.cc/virtual/2022/poster/6384
|
out of distribution;DNNs;p-value;hypothesis testing;inductive conformal predictor
| null | 2.75 | null |
https://openreview.net/forum?id=Oy9WeuZD51
|
iclr
| -0.942809 | 0 | null |
main
| 6 |
3;5;8;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6384
|
A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks
| null | null | 3 | 4 |
Poster
|
5;5;3;3
|
2;2;3;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
reinforcement learning;intrinsic motivation;auxiliary task learning;options;atari
| null | 2.25 | null | null |
iclr
| 0.522233 | -0.333333 | null |
main
| 3.5 |
3;3;3;5
|
2;3;2;2
| null |
Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment
| null | null | 2.25 | 3.25 |
Reject
|
4;2;3;4
|
2;2;2;3
|
null |
University of Oxford; Korea Advanced Institute of Science and Technology; University of Southern California
|
2022
| 1.75 |
https://iclr.cc/virtual/2022/poster/6090; None
| null | 0 | null | null | null |
1;2;2;2
| null |
Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph Lim
|
https://iclr.cc/virtual/2022/poster/6090
|
representation learning;reinforcement learning;transfer learning;visually complex observations
| null | 2.25 | null |
https://openreview.net/forum?id=OzyXtIZAzFv
|
iclr
| 0.333333 | 0.333333 |
http://clvrai.com/tarp
|
main
| 5.75 |
5;6;6;6
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6090
|
Task-Induced Representation Learning
| null | null | 3.25 | 4.25 |
Poster
|
4;4;4;5
|
2;2;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;3
| null | null | null |
Feature selection;contrastive analysis;computational biology
| null | 1.5 | null | null |
iclr
| 0.080845 | 0.886621 | null |
main
| 5.25 |
3;5;5;8
|
2;2;3;4
| null |
Feature Selection in the Contrastive Analysis Setting
| null | null | 2.75 | 3.5 |
Reject
|
4;2;4;4
|
1;2;1;2
|
null | null |
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6281; None
| null | 0 | null | null | null |
2;3;3;4
| null |
Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
|
https://iclr.cc/virtual/2022/poster/6281
|
prompting;nlp;representational learning;priming
| null | 3 | null |
https://openreview.net/forum?id=P-pPW1nxf1r
|
iclr
| 0.333333 | 0.57735 | null |
main
| 6.5 |
6;6;6;8
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6281
|
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
| null | null | 3.5 | 3.75 |
Poster
|
4;4;3;4
|
3;3;2;4
|
null |
CUHK, Shenzhen; Shenzhen Institute of Artificial Intelligence and Robotics for Society; Shanghai Jiao Tong University; MoE Key Lab of Artificial Intelligence; SJTU-Yale Joint Center for Biostatistics and Data Science; National Center for Translational Medicine; MBZUAI; BioMap; Shanghai Jiao Tong University; Antai College of Economics and Management; Data-Driven Management Decision Making Lab; MBZUAI; Microsoft Research
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6151; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song
|
https://iclr.cc/virtual/2022/poster/6151
|
Temporal Point Process;Temporal Logic Rules;Explainable Models
| null | 3.25 | null |
https://openreview.net/forum?id=P07dq7iSAGr
|
iclr
| 0.174078 | -0.333333 | null |
main
| 6.5 |
6;6;6;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6151
|
Explaining Point Processes by Learning Interpretable Temporal Logic Rules
|
https://github.com/FengMingquan-sjtu/Logic_Point_Processes_ICLR
| null | 3.25 | 2.75 |
Poster
|
4;2;2;3
|
3;3;3;4
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;3;2
| null | null | null |
meta-learning;few-shot learning
| null | 2.25 | null | null |
iclr
| 0 | 0.57735 | null |
main
| 4 |
3;3;5;5
|
3;3;3;4
| null |
On Hard Episodes in Meta-Learning
| null | null | 3.25 | 4 |
Reject
|
4;4;4;4
|
2;2;3;2
|
null | null |
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6844; None
| null | 0 | null | null | null |
2;2;3;3
| null |
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
|
https://iclr.cc/virtual/2022/poster/6844
|
Embedding;Dimensionality Reduction;Topological Data Analysis;Persistent Homology;Optimization;Regularization
| null | 1.75 | null |
https://openreview.net/forum?id=P1QUVhOtEFP
|
iclr
| -0.648886 | 0.688247 | null |
main
| 4.75 |
3;5;5;6
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6844
|
Topologically Regularized Data Embeddings
| null | null | 3.5 | 3 |
Poster
|
4;3;2;3
|
2;2;3;0
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Reinforcement Learning
| null | 2.5 | null | null |
iclr
| 0.927173 | 0.132453 | null |
main
| 6.25 |
5;6;6;8
|
4;4;3;4
| null |
Robust Losses for Learning Value Functions
| null | null | 3.75 | 2.5 |
Reject
|
2;2;2;4
|
2;2;2;4
|
null |
School of Software, BNRist, Tsinghua University, China
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/6998; None
| null | 0 | null | null | null |
2;3;3
| null |
Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
|
https://iclr.cc/virtual/2022/poster/6998
|
Data Efficiency;Deep Learning;Minimax Model
| null | 2.666667 | null |
https://openreview.net/forum?id=P3Bh01hBYTH
|
iclr
| 0 | 0.5 | null |
main
| 6.666667 |
6;6;8
|
3;4;4
|
https://iclr.cc/virtual/2022/poster/6998
|
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
| null | null | 3.666667 | 4 |
Poster
|
4;4;4
|
2;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
1;3;2;3
| null | null | null |
circular kernel;Convolutional Neural Network;Neural Architecture Search;operation space;large kernel
| null | 2 | null | null |
iclr
| -0.911322 | 0.911322 | null |
main
| 3.75 |
1;3;5;6
|
2;2;3;3
| null |
Integrating Large Circular Kernels into CNNs through Neural Architecture Search
| null | null | 2.5 | 3.5 |
Withdraw
|
4;4;3;3
|
1;2;2;3
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
2;3;3
| null | null | null |
Inverse Reinforcement Learning;Neural Decoding;Computational Biology
| null | 2 | null | null |
iclr
| -0.5 | 1 | null |
main
| 4.333333 |
3;5;5
|
2;3;3
| null |
NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding
| null | null | 2.666667 | 3.666667 |
Withdraw
|
4;4;3
|
2;2;2
|
null |
University of Illinois at Urbana-Champaign; EPFL, Switzerland; Univ. Grenoble-Alpes, Inria
|
2022
| 2.6 |
https://iclr.cc/virtual/2022/poster/6710; None
| null | 0 | null | null | null |
2;2;3;3;3
| null |
Moulik Choraria, Leello Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
|
https://iclr.cc/virtual/2022/poster/6710
|
Deep Neural Networks;Polynomials;Spectral Bias;Neural Tangent Kernel;Deep Image Prior;Infinite Width;Mercer Decomposition
| null | 2.4 | null |
https://openreview.net/forum?id=P7FLfMLTSEX
|
iclr
| -0.322749 | 0.666667 | null |
main
| 6.2 |
5;6;6;6;8
|
3;4;3;3;4
|
https://iclr.cc/virtual/2022/poster/6710
|
The Spectral Bias of Polynomial Neural Networks
| null | null | 3.4 | 3 |
Poster
|
4;3;2;3;3
|
3;3;2;2;2
|
null |
University of Illinois at Urbana-Champaign
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6247; None
| null | 0 | null | null | null |
3;3;2;2
| null |
Michael Wan, Jian Peng, Tanmay Gangwani
|
https://iclr.cc/virtual/2022/poster/6247
|
Reinforcement Learning;Meta-Learning
| null | 3 | null |
https://openreview.net/forum?id=P7OVkHEoHOZ
|
iclr
| -0.207514 | -0.927173 | null |
main
| 6.25 |
5;6;6;8
|
4;4;4;3
|
https://iclr.cc/virtual/2022/poster/6247
|
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
|
https://www.github.com/michaelwan11/hfr
| null | 3.75 | 3.75 |
Poster
|
3;5;4;3
|
3;3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;3;2
| null | null | null |
dense retrieval;zero-shot;unsupervised domain adaptation
| null | 2.75 | null | null |
iclr
| 0 | 1 | null |
main
| 4.5 |
3;5;5;5
|
2;3;3;3
| null |
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representation
| null | null | 2.75 | 4 |
Withdraw
|
4;4;5;3
|
2;3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null | null | null | 0.25 | null | null |
iclr
| 0.57735 | 0.333333 | null |
main
| 3.5 |
3;3;3;5
|
3;3;2;3
| null |
Embedding models through the lens of Stable Coloring
| null | null | 2.75 | 3.5 |
Reject
|
4;3;3;4
|
1;0;0;0
|
null |
University of Washington, Seattle; Australian Artificial Intelligence Institute, University of Technology Sydney
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/7148; None
| null | 0 | null | null | null |
3;2;3
| null |
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
|
https://iclr.cc/virtual/2022/poster/7148
|
Time series classification
| null | 2.666667 | null |
https://openreview.net/forum?id=PDYs7Z2XFGv
|
iclr
| 0.5 | 1 | null |
main
| 6.666667 |
6;6;8
|
3;3;4
|
https://iclr.cc/virtual/2022/poster/7148
|
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
|
https://github.com/Wensi-Tang/OS-CNN
| null | 3.333333 | 3.666667 |
Poster
|
3;4;4
|
3;2;3
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3;3
| null | null | null |
implicit functions;texture mapping;surface parameterization
| null | 2.5 | null | null |
iclr
| 0 | 0 | null |
main
| 5.5 |
5;5;6;6
|
3;3;3;3
| null |
Learning Surface Parameterization for Document Image Unwarping
| null | null | 3 | 4 |
Reject
|
4;4;4;4
|
3;2;3;2
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;2;1;2
| null | null | null |
predictive maintenance;federated learning;machine learning;anomaly detection;multi-party computation;autoencoder
| null | 2.25 | null | null |
iclr
| -1 | -0.333333 | null |
main
| 3.5 |
3;3;3;5
|
2;2;3;2
| null |
Predictive Maintenance for Optical Networks in Robust Collaborative Learning
| null | null | 2.25 | 3.75 |
Reject
|
4;4;4;3
|
2;2;2;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;2;4
| null | null | null |
Safe Reinforcement Learning;Hamilton-Jacobi Reachability;Autonomous Driving
| null | 2.25 | null | null |
iclr
| -0.855186 | 0.863868 | null |
main
| 4.75 |
3;3;5;8
|
2;3;3;4
| null |
Safety-aware Policy Optimisation for Autonomous Racing
| null | null | 3 | 3 |
Withdraw
|
4;4;2;2
|
2;2;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
data augmentation;domain shift;adversarial training
| null | 1.5 | null | null |
iclr
| 0.57735 | -0.333333 | null |
main
| 5.25 |
5;5;5;6
|
3;4;3;3
| null |
DAIR: Data Augmented Invariant Regularization
| null | null | 3.25 | 3.5 |
Withdraw
|
3;4;3;4
|
2;2;2;0
|
null |
University of Maryland, College Park; Northwestern University; Yale University
|
2022
| 3.666667 |
https://iclr.cc/virtual/2022/poster/6620; None
| null | 0 | null | null | null |
4;4;3
| null |
Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
|
https://iclr.cc/virtual/2022/poster/6620
|
Multi-agent Reinforcement Learning;Predictive State Representation;Dynamic Interaction Graph
| null | 2.333333 | null |
https://openreview.net/forum?id=PLDOnFoVm4
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;4;4
|
https://iclr.cc/virtual/2022/poster/6620
|
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
| null | null | 3.666667 | 3 |
Spotlight
|
3;3;3
|
3;0;4
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;2;2;1
| null | null | null |
Calibration;Probes;Generalization;Temperature Scaling;Post-processing
| null | 1.75 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
2;3;2;2
| null |
Improving the Post-hoc Calibration of Modern Neural Networks with Probe Scaling
| null | null | 2.25 | 4 |
Withdraw
|
4;4;4;4
|
2;2;2;1
|
null |
Qatar Computing Research Institute, HBKU Research Complex, Doha 5825, Qatar; School of Engineering and Science, Steven Institute of Technology, Hoboken, NJ 07030, USA
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6838; None
| null | 0 | null | null | null |
2;2;3;3
| null |
Fahim Dalvi, Abdul Khan, Firoj Alam, Nadir Durrani, Jia Xu, Hassan Sajjad
|
https://iclr.cc/virtual/2022/poster/6838
|
interpretation;BERT;NLP
| null | 2.25 | null |
https://openreview.net/forum?id=POTMtpYI1xH
|
iclr
| 0.57735 | 0 |
https://neurox.qcri.org/projects/bert-concept-net.html
|
main
| 6.5 |
5;5;8;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6838
|
Discovering Latent Concepts Learned in BERT
| null | null | 3 | 3.5 |
Poster
|
4;2;4;4
|
2;2;2;3
|
null |
UC Berkeley, Google Research; MILA; Google Research; Stanford University; Google Research, MILA
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6927; None
| null | 0 | null | null | null |
3;3;3;4
| null |
Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron Courville, George Tucker, Sergey Levine
|
https://iclr.cc/virtual/2022/poster/6927
|
Q-learning;offline RL;regularization
| null | 2.75 | null |
https://openreview.net/forum?id=POvMvLi91f
|
iclr
| 0 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6927
|
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
| null | null | 3.25 | 3.5 |
Spotlight
|
3;4;3;4
|
3;3;3;2
|
null |
Amazon, Max Planck Institute for Intelligent Systems T¨ubingen; Amazon; Amazon, University of Freiburg; Max Planck Institute for Intelligent Systems T¨ubingen, University of Cambridge
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6404; None
| null | 0 | null | null | null |
3;3;3;2;4
| null |
Osama Makansi, Julius von Kuegelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, Bernhard Schoelkopf
|
https://iclr.cc/virtual/2022/poster/6404
|
Feature Attribution;Shapley values;Trajectory Prediction;Causality
| null | 3.4 | null |
https://openreview.net/forum?id=POxF-LEqnF
|
iclr
| 0.745601 | 0.688247 | null |
main
| 7.4 |
5;6;8;8;10
|
3;4;4;4;4
|
https://iclr.cc/virtual/2022/poster/6404
|
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
| null | null | 3.8 | 4.2 |
Poster
|
4;4;4;4;5
|
3;3;3;4;4
|
null |
University of Tokyo; Kyushu Institute of Technology, JST PRESTO, RIKEN AIP; University of Toronto, Vector Institute; University of Tokyo, RIKEN AIP
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6575; None
| null | 0 | null | null | null |
3;3;3;4
| null |
Kazusato Oko, Taiji Suzuki, Atsushi Nitanda, Denny Wu
|
https://iclr.cc/virtual/2022/poster/6575
|
Neural Network Optimization;Mean field Regime;Overparameterization
| null | 0.75 | null |
https://openreview.net/forum?id=PQQp7AJwz3
|
iclr
| -0.174078 | -0.57735 | null |
main
| 6.5 |
6;6;6;8
|
4;4;3;3
|
https://iclr.cc/virtual/2022/poster/6575
|
Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization
| null | null | 3.5 | 3.25 |
Poster
|
4;4;2;3
|
0;3;0;0
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.