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values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Few-shot learning;Invariance loss
| null | 2 | null | null |
iclr
| 0.662266 | 0.324443 | null |
main
| 4.75 |
3;5;5;6
|
3;3;2;4
| null |
Invariance-Guided Feature Evolution for Few-Shot Learning
| null | null | 3 | 4.25 |
Reject
|
4;4;4;5
|
2;2;2;2
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null | null | null | 2.75 | null | null |
iclr
| 0 | 0.57735 | null |
main
| 5.5 |
5;5;6;6
|
2;3;3;3
| null |
Restricted Category Removal from Model Representations using Limited Data
| null | null | 2.75 | 4 |
Reject
|
4;4;4;4
|
3;2;4;2
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
Neural Networks;Topological Data Analysis;similarity;Persistent Homology
| null | 2.5 | null | null |
iclr
| 0 | 0.174078 | null |
main
| 4.5 |
3;5;5;5
|
2;3;3;1
| null |
Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology
| null | null | 2.25 | 4 |
Reject
|
4;3;4;5
|
2;3;2;3
|
null |
Lieber Institute for Brain Development, USA; Department of Basic Medical Sciences, University of Bari Aldo Moro, Italy; Department of Electrical and Computer Engineering, Johns Hopkins University, USA
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6978; None
| null | 0 | null | null | null |
1;3;3;3
| null |
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron Goldman, William Ulrich, Daniel Weinberger, Archana Venkataraman
|
https://iclr.cc/virtual/2022/poster/6978
|
Imaging-genetics;Hierarchical Graph Convolution;Gene Ontology;Bayesian Feature Selection;Schizophrenia
| null | 2.25 | null |
https://openreview.net/forum?id=Lwr8We4MIxn
|
iclr
| -0.157895 | 0.345857 | null |
main
| 6.25 |
5;6;6;8
|
2;2;4;3
|
https://iclr.cc/virtual/2022/poster/6978
|
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
| null | null | 2.75 | 3.75 |
Poster
|
5;4;2;4
|
2;2;3;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
Continual learning;Cramer-Wold distance;regularization
| null | 1.25 | null | null |
iclr
| 0.816497 | 0.816497 | null |
main
| 2.5 |
1;3;3;3
|
2;3;3;4
| null |
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
| null | null | 3 | 4 |
Withdraw
|
3;5;4;4
|
1;1;1;2
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;3;3;2
| null | null | null |
Vision transformer;structual pruning;latency aware;novel architecture
| null | 2.5 | null | null |
iclr
| -0.662266 | 0.324443 | null |
main
| 6.25 |
5;6;6;8
|
2;4;3;3
| null |
NViT: Vision Transformer Compression and Parameter Redistribution
| null | null | 3 | 3.25 |
Withdraw
|
4;3;3;3
|
3;3;2;2
|
null | null |
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7023; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Jiehui Xu, haixu wu, Jianmin Wang, Mingsheng Long
|
https://iclr.cc/virtual/2022/poster/7023
|
Time series anomaly detection;Transformers;Anomaly attention;Association discrepancy
| null | 3 | null |
https://openreview.net/forum?id=LzQQ89U1qm_
|
iclr
| 0.333333 | 0 | null |
main
| 7.5 |
6;8;8;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/7023
|
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
| null | null | 3 | 4.25 |
Spotlight
|
4;4;4;5
|
3;3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null | null | null | 2.25 | null | null |
iclr
| -0.96225 | 0.555556 | null |
main
| 4.25 |
3;3;5;6
|
3;2;3;3
| null |
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
| null | null | 2.75 | 4.5 |
Reject
|
5;5;4;4
|
2;1;3;3
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
1;3;3
| null | null | null |
Self-supervised learning;Regression;Image denoising;Deep learning
| null | 2.333333 | null | null |
iclr
| -0.944911 | 0.5 | null |
main
| 5 |
3;6;6
|
3;3;4
| null |
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised image denoising
| null | null | 3.333333 | 3.333333 |
Reject
|
5;2;3
|
1;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
3;2;3;2
| null | null | null | null | null | 1.5 | null | null |
iclr
| -0.927173 | -0.333333 | null |
main
| 3.5 |
3;3;3;5
|
3;4;3;3
| null |
Unsupervised Image Decomposition with Phase-Correlation Networks
| null | null | 3.25 | 3.75 |
Withdraw
|
4;4;5;2
|
3;1;0;2
|
null | null |
2022
| 2.2 | null | null | 0 | null | null | null |
2;2;2;2;3
| null | null | null |
Adversarial Attack;Neural Tangent Kernel;Adversarial Examples
| null | 2 | null | null |
iclr
| 0.645497 | 0.408248 | null |
main
| 3.8 |
3;3;3;5;5
|
1;3;3;3;3
| null |
The NTK Adversary: An Approach to Adversarial Attacks without any Model Access
| null | null | 2.6 | 4 |
Reject
|
4;3;4;5;4
|
2;2;2;2;2
|
null |
LINE Corporation
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6335; None
| null | 0 | null | null | null |
3;3;3
| null |
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
|
https://iclr.cc/virtual/2022/poster/6335
|
Differential Privacy;Generative Model
| null | 3 | null |
https://openreview.net/forum?id=M6M8BEmd6dq
|
iclr
| 1 | 1 | null |
main
| 6.666667 |
6;6;8
|
3;3;4
|
https://iclr.cc/virtual/2022/poster/6335
|
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
| null | null | 3.333333 | 3.333333 |
Poster
|
3;3;4
|
3;3;3
|
null | null |
2022
| 3.25 | null | null | 0 | null | null | null |
3;3;3;4
| null | null | null |
decentralized control;decentralized learning;game theory;reinforcement learning;reinforcement learning theory
| null | 2.75 | null | null |
iclr
| -0.70014 | -0.29554 | null |
main
| 5.75 |
3;6;6;8
|
2;3;3;1
| null |
Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration
| null | null | 2.25 | 3 |
Reject
|
4;2;4;2
|
1;3;3;4
|
null |
ENS, INRIA, INSERM, UPEC, PSL Research University; Google Research
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/7068; None
| null | 0 | null | null | null |
3;4;3;3
| null |
Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour
|
https://iclr.cc/virtual/2022/poster/7068
|
Strides;Convolutional neural networks;Downsampling;Spectral representations;Fourier
| null | 3.5 | null |
https://openreview.net/forum?id=M752z9FKJP
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/7068
|
Learning Strides in Convolutional Neural Networks
| null | null | 3.75 | 3.75 |
Oral
|
4;4;3;4
|
3;4;4;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
Adversarial Attack;3D Point Cloud;Step-Size Scheduling
| null | 1.75 | null | null |
iclr
| -0.333333 | 0.870388 | null |
main
| 3.5 |
3;3;3;5
|
2;2;3;4
| null |
Adversarial Attack by Limited Point Cloud Surface Modifications
| null | null | 2.75 | 4.25 |
Withdraw
|
5;4;4;4
|
2;2;1;2
|
null | null |
2022
| 2.8 | null | null | 0 | null | null | null |
2;2;4;3;3
| null | null | null |
reinforcement learning;adaptive mesh refinement;finite element method
| null | 2 | null | null |
iclr
| -0.25 | 0.102062 | null |
main
| 5.2 |
5;5;5;5;6
|
4;3;3;1;3
| null |
Reinforcement Learning for Adaptive Mesh Refinement
| null | null | 2.8 | 3.2 |
Reject
|
3;3;3;4;3
|
2;3;0;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;3;3
| null | null | null |
deep learning;permutation invariance;normalization;residual connections
| null | 2.25 | null | null |
iclr
| 0 | 0.688247 | null |
main
| 4.75 |
3;5;5;6
|
2;2;4;4
| null |
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
| null | null | 3 | 4 |
Reject
|
4;4;4;4
|
2;2;2;3
|
null | null |
2022
| 3.5 |
https://iclr.cc/virtual/2022/poster/6442; None
| null | 0 | null | null | null |
3;4;3;4
| null |
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
|
https://iclr.cc/virtual/2022/poster/6442
| null | null | 3.5 | null |
https://openreview.net/forum?id=MEpKGLsY8f
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8;8
|
4;4;4;4
|
https://iclr.cc/virtual/2022/poster/6442
|
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
| null | null | 4 | 3.75 |
Spotlight
|
3;5;3;4
|
3;4;4;3
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
2;3;2;3;2
| null | null | null | null | null | 2 | null | null |
iclr
| -0.25 | -0.408248 | null |
main
| 3.4 |
3;3;3;3;5
|
3;3;2;2;2
| null |
RAR: Region-Aware Point Cloud Registration
| null | null | 2.4 | 3.4 |
Reject
|
2;4;4;4;3
|
2;1;3;2;2
|
null | null |
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6950; None
| null | 0 | null | null | null |
3;3;3;3
| null |
SIQI LIU, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
|
https://iclr.cc/virtual/2022/poster/6950
|
Multi-Agent Learning;Game Theory;Population Learning
| null | 3 | null |
https://openreview.net/forum?id=MIX3fJkl_1
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6950
|
NeuPL: Neural Population Learning
| null | null | 3.25 | 3.5 |
Poster
|
4;4;3;3
|
3;3;3;3
|
null |
Lund University & Stanford University; Leibniz University Hannover; Federal University of Minas Gerais; Lund University; University of Freiburg; University of Freiburg & Bosch Center for Artificial Intelligence
|
2022
| 2.25 |
https://iclr.cc/virtual/2022/poster/6843; None
| null | 0 | null | null | null |
2;2;2;3
| null |
Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
|
https://iclr.cc/virtual/2022/poster/6843
|
Bayesian Optimization;Hyperparameter Optimization;Meta-Learning
| null | 2.75 | null |
https://openreview.net/forum?id=MMAeCXIa89
|
iclr
| 0.57735 | 1 | null |
main
| 7.5 |
6;8;8;8
|
2;4;4;4
|
https://iclr.cc/virtual/2022/poster/6843
|
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
| null | null | 3.5 | 4.5 |
Poster
|
4;5;4;5
|
2;3;3;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;2;4
| null | null | null | null | null | 2 | null | null |
iclr
| -0.777778 | 0.777778 | null |
main
| 4.25 |
3;3;5;6
|
2;2;2;3
| null |
Isotropic Contextual Representations through Variational Regularization
| null | null | 2.25 | 3.75 |
Reject
|
4;4;4;3
|
2;1;2;3
|
null |
Department of Mathematics, Stanford University, Stanford, CA 94305, USA
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6723; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Chao Ma, Lexing Ying
|
https://iclr.cc/virtual/2022/poster/6723
|
quasistatic;minimax optimization;mixed Nash equilibrium;mean-field formulation
| null | 3 | null |
https://openreview.net/forum?id=MP904TiHqJ-
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
4;4;4;2
|
https://iclr.cc/virtual/2022/poster/6723
|
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
| null | null | 3.5 | 3.75 |
Poster
|
3;5;4;3
|
3;3;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;2;3
| null | null | null |
Efficient Network;Residual Connection
| null | 2.75 | null | null |
iclr
| -0.080845 | 0.990148 | null |
main
| 5.75 |
3;6;6;8
|
2;3;3;4
| null |
RMNet: Equivalently Removing Residual Connection from Networks
| null | null | 3 | 4.25 |
Reject
|
5;5;2;5
|
2;3;2;4
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;1;2;2
| null | null | null |
graph neural network;graph convolutional network;PageRank selection;spatial-aware selection;deep learning
| null | 1.75 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
3;4;3;3
| null |
RankedDrop: Enhancing Deep Graph Convolutional Networks Training
| null | null | 3.25 | 4.75 |
Withdraw
|
5;5;5;4
|
2;1;2;2
|
null |
Waymo LLC
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6625; None
| null | 0 | null | null | null |
2;2;3;3
| null |
Yinigwei Li, Tiffany Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
|
https://iclr.cc/virtual/2022/poster/6625
|
Self-driving;distance estimation;long-range objects
| null | 2.75 | null |
https://openreview.net/forum?id=MQ2sAGunyBP
|
iclr
| -0.132453 | -0.132453 |
https://waymo.com/open/download
|
main
| 6.25 |
5;6;6;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6625
|
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
| null | null | 3.25 | 3.5 |
Poster
|
3;3;5;3
|
2;3;3;3
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;1;2;2
| null | null | null |
neural network robustness;local robustness;semantic features;verification of neural networks
| null | 2 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
3;2;2;3
| null |
Towards Scaling Robustness Verification of Semantic Features via Proof Velocity
| null | null | 2.5 | 4.5 |
Withdraw
|
5;5;4;4
|
3;1;2;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null | null | null | 2 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
3;3;3;1
| null |
Multi-Trigger-Key: Towards Multi-Task Privacy-Preserving In Deep Learning
| null | null | 2.5 | 3 |
Reject
|
2;3;3;4
|
2;3;2;1
|
null |
Microsoft Research Asia; College of Computer Science, Sichuan University; Microsoft Azure AI
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6182; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen
|
https://iclr.cc/virtual/2022/poster/6182
| null | null | 1.75 | null |
https://openreview.net/forum?id=MR7XubKUFB
|
iclr
| 0.927173 | 0.927173 | null |
main
| 6.25 |
5;6;6;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6182
|
Adversarial Retriever-Ranker for Dense Text Retrieval
|
https://github.com/microsoft/AR2
| null | 3.25 | 4.25 |
Poster
|
4;4;4;5
|
0;2;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;3
| null | null | null |
graph representation learning;self-supervised learning
| null | 1.666667 | null | null |
iclr
| 0 | -0.755929 | null |
main
| 4.666667 |
3;5;6
|
4;4;3
| null |
Graph Barlow Twins: A self-supervised representation learning framework for graphs
| null | null | 3.666667 | 5 |
Reject
|
5;5;5
|
1;1;3
|
null |
School of EECS, Pennsylvania State University
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/7149; None
| null | 0 | null | null | null |
2;2;4;3
| null |
Zhen Xiang, David Miller, George Kesidis
|
https://iclr.cc/virtual/2022/poster/7149
|
backdoor;Trojan;adversarial learning;deep neural network
| null | 2.75 | null |
https://openreview.net/forum?id=MSgB8D4Hy51
|
iclr
| -0.272166 | 0.816497 | null |
main
| 6.75 |
5;6;8;8
|
2;3;4;3
|
https://iclr.cc/virtual/2022/poster/7149
|
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
|
https://github.com/zhenxianglance/2ClassBADetection
| null | 3 | 3 |
Poster
|
4;2;3;3
|
2;2;4;3
|
null |
Carnegie Mellon University
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6060; None
| null | 0 | null | null | null |
2;2;3;3
| null |
Yao-Hung Hubert Tsai, Tianqin Li, Weixin Liu, Peiyuan Liao, Ruslan Salakhutdinov, Louis-Philippe Morency
|
https://iclr.cc/virtual/2022/poster/6060
|
Self-supervised Learning;Weakly Supervised Learning;Learning with Auxiliary Information;Clustering-based Representation Learning
| null | 2.5 | null |
https://openreview.net/forum?id=MSwEFaztwkE
|
iclr
| -0.942809 | 0 | null |
main
| 6 |
5;5;6;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6060
|
Learning Weakly-supervised Contrastive Representations
|
https://github.com/Crazy-Jack/Cl-InfoNCE
| null | 3.25 | 3.75 |
Poster
|
4;4;4;3
|
2;2;3;3
|
null | null |
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6433; None
| null | 0 | null | null | null |
3;3;3
| null |
Victor Weixin Liang, James Y Zou
|
https://iclr.cc/virtual/2022/poster/6433
|
benchmark dataset;distribution shift;out-of-domain generalization
| null | 3 | null |
https://openreview.net/forum?id=MTex8qKavoS
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6
|
4;3;4
|
https://iclr.cc/virtual/2022/poster/6433
|
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
| null | null | 3.666667 | 3.666667 |
Poster
|
3;4;4
|
3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
Target propagation;differentiable programming;recurrent neural networks
| null | 2.25 | null | null |
iclr
| 0.132453 | 0.662266 | null |
main
| 4.75 |
3;5;5;6
|
3;3;3;4
| null |
Target Propagation via Regularized Inversion
| null | null | 3.25 | 3.25 |
Reject
|
3;4;3;3
|
2;2;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
reinforcement learning;off-policy reinforcement learning;off-policy evaluation;deep reinforcement learning
| null | 2 | null | null |
iclr
| -0.594089 | 0.889297 | null |
main
| 5.75 |
3;6;6;8
|
3;4;4;4
| null |
Why Should I Trust You, Bellman? Evaluating the Bellman Objective with Off-Policy Data
| null | null | 3.75 | 4 |
Reject
|
5;4;3;4
|
2;3;3;0
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
3;2;2;3
| null | null | null |
Continual Learning;Generative replay;Lifelong learning
| null | 1.5 | null | null |
iclr
| -0.927173 | 0.927173 | null |
main
| 4.75 |
3;5;5;6
|
2;3;3;3
| null |
Generative Negative Replay for Continual Learning
| null | null | 2.75 | 4.25 |
Reject
|
5;4;4;4
|
1;2;3;0
|
null |
Korea Advanced Institute of Science and Technology (KAIST), AITRICS; Korea Advanced Institute of Science and Technology (KAIST)
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/5932; None
| null | 0 | null | null | null |
2;3;2;3
| null |
Joonhyung Park, Jaeyun Song, Eunho Yang
|
https://iclr.cc/virtual/2022/poster/5932
|
Deep learning;Node classification;Class imbalance;Data Augmentation
| null | 3 | null |
https://openreview.net/forum?id=MXEl7i-iru
|
iclr
| 0 | 0.333333 | null |
main
| 6.5 |
6;6;6;8
|
2;3;3;3
|
https://iclr.cc/virtual/2022/poster/5932
|
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
| null | null | 2.75 | 4 |
Poster
|
4;4;4;4
|
2;4;3;3
|
null |
Samsung AI Center Cambridge, UK
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/5927; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Minyoung Kim
|
https://iclr.cc/virtual/2022/poster/5927
|
Representation learning;Bayesian models;Mixture estimation;Optimal transport;Attention
| null | 2.75 | null |
https://openreview.net/forum?id=MXdFBmHT4C
|
iclr
| 0.174078 | -0.333333 | null |
main
| 6.5 |
6;6;6;8
|
4;3;3;3
|
https://iclr.cc/virtual/2022/poster/5927
|
Differentiable Expectation-Maximization for Set Representation Learning
| null | null | 3.25 | 2.75 |
Poster
|
2;4;2;3
|
3;3;3;2
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;1;2;3
| null | null | null |
Once-for-all adversarial training;in-situ robustness-accuracy trade-off;parameter-efficient in-situ calibration
| null | 2.5 | null | null |
iclr
| 0.980581 | 0.980581 | null |
main
| 5.5 |
3;5;6;8
|
2;3;3;4
| null |
FLOAT: FAST LEARNABLE ONCE-FOR-ALL ADVERSARIAL TRAINING FOR TUNABLE TRADE-OFF BETWEEN ACCURACY AND ROBUSTNESS
| null | null | 3 | 4 |
Reject
|
3;4;4;5
|
2;1;4;3
|
null | null |
2022
| 3.2 | null | null | 0 | null | null | null |
1;3;4;4;4
| null | null | null |
Neural Networks;Missing Values;Data Imputation
| null | 2.2 | null | null |
iclr
| -0.666667 | 1 | null |
main
| 4.8 |
3;3;6;6;6
|
2;2;3;3;3
| null |
PROMISSING: Pruning Missing Values in Neural Networks
| null | null | 2.6 | 4.6 |
Reject
|
5;5;5;4;4
|
1;2;2;3;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;3;3
| null | null | null | null | null | 2 | null | null |
iclr
| -0.57735 | 0.96225 | null |
main
| 4 |
3;3;5;5
|
1;1;4;3
| null |
A Novel Convergence Analysis for the Stochastic Proximal Point Algorithm
| null | null | 2.25 | 3.75 |
Reject
|
4;4;4;3
|
2;2;3;1
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null |
Grounded Language Learning;Language Model
| null | 2 | null | null |
iclr
| -1 | -0.5 | null |
main
| 4.333333 |
3;5;5
|
3;2;3
| null |
Grounding Language Representation with Visual Object Information via Cross Modal Pretraining
|
https://github.com/... (the link is hidden now due to double-blind review)
| null | 2.666667 | 4.333333 |
Withdraw
|
5;4;4
|
1;3;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;3
| null | null | null |
contrastive learning;model-based RL;distractions;predictive coding
| null | 2.666667 | null | null |
iclr
| -0.866025 | 0.5 | null |
main
| 4.333333 |
3;5;5
|
3;3;4
| null |
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models
| null | null | 3.333333 | 4 |
Reject
|
5;4;3
|
2;3;3
|
null | null |
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6180; None
| null | 0 | null | null | null |
3;2;3;3
| null |
Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia
|
https://iclr.cc/virtual/2022/poster/6180
|
backdoor defense;backdoor removal;backdoor;minimax;implicit hypergradient
| null | 2.75 | null |
https://openreview.net/forum?id=MeeQkFYVbzW
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6180
|
Adversarial Unlearning of Backdoors via Implicit Hypergradient
| null | null | 3.25 | 3.25 |
Poster
|
3;3;3;4
|
3;2;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;2;3
| null | null | null |
differential privacy;membership inference
| null | 1.5 | null | null |
iclr
| -0.594089 | -0.080845 | null |
main
| 5.75 |
3;6;6;8
|
4;4;3;4
| null |
Bounding Membership Inference
| null | null | 3.75 | 3 |
Reject
|
4;3;2;3
|
2;2;2;0
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
2;2;3;2;3
| null | null | null |
Graph Neural Networks;Feature Overcorrelation
| null | 1.8 | null | null |
iclr
| 0.408248 | 0 | null |
main
| 4.6 |
3;5;5;5;5
|
3;3;3;3;3
| null |
Towards Feature Overcorrelation in Deeper Graph Neural Networks
| null | null | 3 | 4.4 |
Withdraw
|
4;4;5;4;5
|
2;0;2;2;3
|
null | null |
2022
| 2.6 | null | null | 0 | null | null | null |
3;3;2;2;3
| null | null | null |
Time Series;Unsupervised Learning;Representation Learning
| null | 2.2 | null | null |
iclr
| 1 | -0.25 | null |
main
| 6.4 |
6;6;6;6;8
|
4;3;3;3;3
| null |
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series
| null | null | 3.2 | 4.2 |
Withdraw
|
4;4;4;4;5
|
3;0;2;3;3
|
null |
Department of Computer Science, Weizmann Institute of Science
|
2022
| 3.666667 |
https://iclr.cc/virtual/2022/poster/7214; None
| null | 0 | null | null | null |
4;3;4
| null |
Gal Vardi, Gilad Yehudai, Ohad Shamir
|
https://iclr.cc/virtual/2022/poster/7214
|
Expressivness;Memorization;Theory;VC-dimension;Deep learning theory
| null | 1 | null |
https://openreview.net/forum?id=MkTPtnjeYTV
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
4;4;3
|
https://iclr.cc/virtual/2022/poster/7214
|
On the Optimal Memorization Power of ReLU Neural Networks
| null | null | 3.666667 | 4.666667 |
Spotlight
|
4;5;5
|
3;0;0
|
null |
Korea Advanced Institute of Science and Technology (KAIST); NAVER CLOVA; University of Southern California (USC)
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6594; None
| null | 0 | null | null | null |
3;3;3;2
| null |
Ayush Jain, Norio Kosaka, Kyung-Min Kim, Joseph Lim
|
https://iclr.cc/virtual/2022/poster/6594
|
reinforcement learning;varying action space;relational reasoning
| null | 3 | null |
https://openreview.net/forum?id=MljXVdp4A3N
|
iclr
| 0.522233 | 0.333333 |
https://sites.google.com/view/varyingaction
|
main
| 7.5 |
6;8;8;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6594
|
Know Your Action Set: Learning Action Relations for Reinforcement Learning
|
https://github.com/clvrai/agile
| null | 3.25 | 3.75 |
Poster
|
3;5;4;3
|
3;3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null | null | null | 2.75 | null | null |
iclr
| -0.57735 | 0.57735 | null |
main
| 5.25 |
3;6;6;6
|
3;4;3;4
| null |
Efficient Wasserstein and Sinkhorn Policy Optimization
| null | null | 3.5 | 3.5 |
Reject
|
4;4;3;3
|
2;3;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
cognitive difficulty;multi-variate interaction
| null | 1.333333 | null | null |
iclr
| -0.5 | 1 | null |
main
| 1.666667 |
1;1;3
|
1;1;3
| null |
A HYPOTHESIS FOR THE COGNITIVE DIFFICULTY OF IMAGES
| null | null | 1.666667 | 4.333333 |
Withdraw
|
4;5;4
|
1;1;2
|
null | null |
2022
| 1.333333 | null | null | 0 | null | null | null |
1;1;2
| null | null | null |
Shallow Graph Networks;Multi-Channel Message Aggregation;Data Augmentation;Over-Smoothing;Overfitting
| null | 1.666667 | null | null |
iclr
| -0.866025 | 1 | null |
main
| 3.666667 |
3;3;5
|
2;2;3
| null |
Convolutional Networks on Enhanced Message-Passing Graph Improve Semi-Supervised Classification with Few Labels
| null | null | 2.333333 | 4 |
Withdraw
|
5;4;3
|
1;2;2
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
2;3;3
| null | null | null |
Self-attention;sparse representation;subspace clustering
| null | 1.666667 | null | null |
iclr
| 0 | 0 | null |
main
| 5 |
5;5;5
|
3;3;3
| null |
Attention: Self-Expression Is All You Need
| null | null | 3 | 3.666667 |
Reject
|
4;3;4
|
2;0;3
|
null |
Chongqing University; Computer Center of Peking University & Peng Cheng Laboratory; Shannon.AI & Zhejiang University; Shannon.AI; Nanyang Technological University
|
2022
| 2 |
https://iclr.cc/virtual/2022/poster/6220; None
| null | 0 | null | null | null |
1;3;1;3
| null |
Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan
|
https://iclr.cc/virtual/2022/poster/6220
| null | null | 3 | null |
https://openreview.net/forum?id=Mng8CQ9eBW
|
iclr
| -0.333333 | 0.833333 | null |
main
| 6 |
3;5;8;8
|
2;3;4;3
|
https://iclr.cc/virtual/2022/poster/6220
|
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
| null | null | 3 | 4 |
Poster
|
5;3;4;4
|
2;3;3;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
saliency;masking based methods
| null | 2 | null | null |
iclr
| 0 | 0.927173 | null |
main
| 4.75 |
3;5;5;6
|
2;3;3;3
| null |
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic and Sound
| null | null | 2.75 | 3 |
Reject
|
3;4;2;3
|
2;2;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
few-shot learning;representation learning;domain alignment
| null | 1.333333 | null | null |
iclr
| -0.5 | 0.5 | null |
main
| 3.666667 |
3;3;5
|
3;2;3
| null |
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
| null | null | 2.666667 | 4.333333 |
Withdraw
|
4;5;4
|
2;0;2
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;1;2;2
| null | null | null |
word embedding;natural language understanding;weight sharing;contextual embedding
| null | 1.5 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
2;2;2;3
| null |
Reconstructing Word Embeddings via Scattered $k$-Sub-Embedding
| null | null | 2.25 | 4.5 |
Reject
|
4;5;5;4
|
2;1;2;1
|
null |
Alibaba Group; ETH Zürich
|
2022
| 3.5 |
https://iclr.cc/virtual/2022/poster/6432; None
| null | 0 | null | null | null |
3;4;4;3
| null |
Yuexiang Xie, Zhen WANG, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
|
https://iclr.cc/virtual/2022/poster/6432
|
overfitting;regularizer
| null | 2.5 | null |
https://openreview.net/forum?id=MsHnJPaBUZE
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
3;4;3;3
|
https://iclr.cc/virtual/2022/poster/6432
|
iFlood: A Stable and Effective Regularizer
| null | null | 3.25 | 4 |
Poster
|
4;4;4;4
|
2;3;3;2
|
null |
Carnegie Mellon Uni.; Michigan State Uni.; Snap Inc.
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6178; None
| null | 0 | null | null | null |
3;3;2;3
| null |
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
|
https://iclr.cc/virtual/2022/poster/6178
|
Graph Neural Networks;Expressiveness;Message Passing Neural Network;Graph Classification
| null | 3 | null |
https://openreview.net/forum?id=Mspk_WYKoEH
|
iclr
| -0.57735 | 0.662266 | null |
main
| 6.5 |
6;6;6;8
|
1;3;3;4
|
https://iclr.cc/virtual/2022/poster/6178
|
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
| null | null | 2.75 | 4.5 |
Poster
|
4;5;5;4
|
3;3;3;3
|
null | null |
2022
| 1.5 | null | null | 0 | null | null | null |
1;2;1;2
| null | null | null |
Deep Learning;Second-order Optimization;Newton Method;Sifrian;Hessian;Exact Stochastic Newton;Saddle-Free Newton;Non-Convex Optimization
| null | 1.75 | null | null |
iclr
| -0.870388 | 0.870388 | null |
main
| 3.75 |
3;3;3;6
|
2;2;3;4
| null |
Exact Stochastic Newton Method for Deep Learning: the feedforward networks case.
| null | null | 2.75 | 3.25 |
Reject
|
4;3;4;2
|
2;2;1;2
|
null |
Google Research, Carnegie Mellon University; Carnegie Mellon University; Google Research
|
2022
| 2.333333 |
https://iclr.cc/virtual/2022/poster/6397; None
| null | 0 | null | null | null |
2;3;2
| null |
Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris Kitani, Yair Movshovitz-Attias, Elad Eban
|
https://iclr.cc/virtual/2022/poster/6397
|
Ensemble;Cascade;Efficiency
| null | 2.666667 | null |
https://openreview.net/forum?id=MvO2t0vbs4-
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6
|
3;3;3
|
https://iclr.cc/virtual/2022/poster/6397
|
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
| null | null | 3 | 3.666667 |
Poster
|
3;4;4
|
3;3;2
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
large batch optimization;sharpness/flatness
| null | 2.25 | null | null |
iclr
| -0.57735 | 0.870388 | null |
main
| 3.75 |
3;3;3;6
|
2;3;2;4
| null |
Bias Decay Matters : Improving Large Batch Optimization with Connectivity Sharpness
| null | null | 2.75 | 3.5 |
Withdraw
|
4;3;4;3
|
2;2;2;3
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null |
Deep Learning;Multi-path Networks;Similarity of Representations;Regression Probe;Centered Kernel Alignment
| null | 2 | null | null |
iclr
| -0.5 | 0 | null |
main
| 3.666667 |
3;3;5
|
3;3;3
| null |
Go with the Flow: the distribution of information processing in multi-path networks
| null | null | 3 | 3.666667 |
Reject
|
5;3;3
|
2;2;2
|
null |
Department of Electrical Engineering, KU Leuven; Beijing Institute for General Artificial Intelligence, Beijing, China
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6110; None
| null | 0 | null | null | null |
3;3;3
| null |
Bo Wan, Wenjuan Han, Zilong Zheng, Tinne Tuytelaars
|
https://iclr.cc/virtual/2022/poster/6110
|
Grammar Induction;Vision-Language Matching;Unsupervised Learning
| null | 3 | null |
https://openreview.net/forum?id=N0n_QyQ5lBF
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;3;3
|
https://iclr.cc/virtual/2022/poster/6110
|
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
|
https://github.com/bobwan1995/cliora.git
| null | 3 | 3.666667 |
Oral
|
3;3;5
|
3;3;3
|
null |
School of EIC, Huazhong University of Science & Technology; Huawei Inc.; Institute of Artificial Intelligence, Huazhong University of Science & Technology, Huawei Inc.; Shanghai Jiao Tong University; Shanghai Jiao Tong University, Huawei Inc.
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/5909; None
| null | 0 | null | null | null |
4;3;3;3
| null |
Haohang Xu, Jiemin Fang, XIAOPENG ZHANG, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian
|
https://iclr.cc/virtual/2022/poster/5909
|
Self-supervised learning;knowledge distillation;instance bagging
| null | 3 | null |
https://openreview.net/forum?id=N0uJGWDw21d
|
iclr
| -0.870388 | 0.333333 | null |
main
| 6.5 |
6;6;6;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/5909
|
Bag of Instances Aggregation Boosts Self-supervised Distillation
|
https://github.com/haohang96/bingo
| null | 3.75 | 4.25 |
Poster
|
5;4;5;3
|
3;3;2;4
|
null |
Korea Aerospace University; Sandia National Laboratories
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6016; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Gordon Euhyun Moon, Eric Cyr
|
https://iclr.cc/virtual/2022/poster/6016
|
GRU;MGRIT;parallel-in-time;distributed machine learning
| null | 2 | null |
https://openreview.net/forum?id=N1WI0vJLER
|
iclr
| -0.870388 | 0.333333 | null |
main
| 6.5 |
6;6;6;8
|
4;4;3;4
|
https://iclr.cc/virtual/2022/poster/6016
|
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences
| null | null | 3.75 | 3.25 |
Poster
|
4;4;3;2
|
0;2;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
transformer;linear transformer;long sequences;fast Fourier transform;positional encoding;long range arena
| null | 2 | null | null |
iclr
| -0.522233 | 1 | null |
main
| 4.5 |
3;5;5;5
|
2;3;3;3
| null |
FastRPB: a Scalable Relative Positional Encoding for Long Sequence Tasks
| null | null | 2.75 | 3.25 |
Reject
|
4;2;4;3
|
2;2;2;2
|
null | null |
2022
| 2.6 | null | null | 0 | null | null | null |
1;3;3;3;3
| null | null | null |
classification;square loss;neural tangent kernel;convergence rate
| null | 2.2 | null | null |
iclr
| 0.243975 | 0.866025 | null |
main
| 5 |
3;5;5;6;6
|
2;3;3;4;3
| null |
Understanding Square Loss in Training Overparametrized Neural Network Classifiers
| null | null | 3 | 3.2 |
Reject
|
3;2;4;4;3
|
0;2;3;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Encryption;Confusion Neurons
| null | 2 | null | null |
iclr
| -0.707107 | 1 | null |
main
| 4 |
3;3;5;5
|
2;2;3;3
| null |
Deep Encryption: Protecting Pre-Trained Neural Networks with Confusion Neurons
| null | null | 2.5 | 4 |
Withdraw
|
4;5;3;4
|
2;1;3;2
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3;3
| null | null | null |
Reward Machines;Finite State Automata;Finite State Transducers;Inverse Reinforcement Learning;Reinforcement Learning
| null | 2.5 | null | null |
iclr
| 0.301511 | 0.57735 | null |
main
| 5.5 |
5;5;6;6
|
2;3;3;3
| null |
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
| null | null | 2.75 | 3.25 |
Reject
|
4;2;4;3
|
2;3;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;3;2
| null | null | null |
Interpretable AI;AI Fairness;Pruning;Compression;Knowledge Distillation;Image Recognition
| null | 2 | null | null |
iclr
| 0 | 0.57735 | null |
main
| 4 |
3;3;5;5
|
3;2;3;3
| null |
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks
| null | null | 2.75 | 4 |
Withdraw
|
4;4;4;4
|
2;2;2;2
|
null |
McGill University, Mila, Facebook AI Research; KU Leuven; Toyota Motor Europe; Concordia University, Mila
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/7188; None
| null | 0 | null | null | null |
2;3;3;2
| null |
Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
|
https://iclr.cc/virtual/2022/poster/7188
|
continual learning
| null | 2.5 | null |
https://openreview.net/forum?id=N8MaByOzUfb
|
iclr
| -0.190885 | 0.800641 | null |
main
| 5.5 |
3;5;6;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/7188
|
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
|
www.github.com/pclucas14/AML
| null | 3.25 | 3.75 |
Poster
|
5;2;4;4
|
2;2;2;4
|
null |
University of Amsterdam
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/6313; None
| null | 0 | null | null | null |
3;3;4
| null |
Erik Jenner, Maurice Weiler
|
https://iclr.cc/virtual/2022/poster/6313
|
partial differential operators;equivariance;deep learning;steerability
| null | 2.666667 | null |
https://openreview.net/forum?id=N9W24a4zU
|
iclr
| 0 | 0 | null |
main
| 6.666667 |
6;6;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/6313
|
Steerable Partial Differential Operators for Equivariant Neural Networks
| null | null | 4 | 3 |
Poster
|
3;3;3
|
3;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;3;2
| null | null | null |
Neuran Network;Robustness;Safety Critical Software;Categorial Robustness
| null | 1.5 | null | null |
iclr
| 0.132453 | 0.57735 | null |
main
| 3.5 |
3;3;3;5
|
2;2;3;3
| null |
RoMA: a Method for Neural Network Robustness Measurement and Assessment
| null | null | 2.5 | 3.75 |
Reject
|
4;5;2;4
|
0;1;3;2
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;1;2;3
| null | null | null |
Few-shot learning
| null | 1.5 | null | null |
iclr
| 0 | 0.904534 | null |
main
| 4 |
3;3;5;5
|
1;2;3;3
| null |
MDFL: A UNIFIED FRAMEWORK WITH META-DROPOUT FOR FEW-SHOT LEARNING
| null | null | 2.25 | 3.5 |
Reject
|
3;4;4;3
|
1;1;2;2
|
null | null |
2022
| 2.2 | null | null | 0 | null | null | null |
2;2;3;2;2
| null | null | null |
pruning;knowledge distillation;compression;transformers;neural networks;language models
| null | 2.4 | null | null |
iclr
| -0.372678 | 0 | null |
main
| 5 |
3;5;5;6;6
|
2;3;3;3;1
| null |
Self-Distilled Pruning Of Neural Networks
| null | null | 2.4 | 3.6 |
Withdraw
|
4;4;3;4;3
|
2;2;3;3;2
|
null |
College of Computer Science, Chongqing University, China; College of Computer Science and Technology, Jilin University, China
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/5904; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang
|
https://iclr.cc/virtual/2022/poster/5904
|
Positive and Unlabeled Learning;Mixup;Heuristic
| null | 3 | null |
https://openreview.net/forum?id=NH29920YEmj
|
iclr
| -0.57735 | 0 | null |
main
| 7 |
6;6;8;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/5904
|
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
| null | null | 3 | 3.75 |
Poster
|
4;4;4;3
|
3;3;3;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;3;3;2
| null | null | null |
targeted attack;bit-flip;weight attack;backdoor;trojan
| null | 2.5 | null | null |
iclr
| 0 | 0 | null |
main
| 5 |
5;5;5;5
|
4;2;4;3
| null |
An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware
| null | null | 3.25 | 3.75 |
Reject
|
3;4;5;3
|
3;3;2;2
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null | null | null | 3 | null | null |
iclr
| -1 | 1 | null |
main
| 5 |
3;6;6
|
2;3;3
| null |
Diverse Imitation Learning via Self-OrganizingGenerative Models
| null | null | 2.666667 | 3.333333 |
Withdraw
|
4;3;3
|
3;2;4
|
null |
Paper under double-blind review
|
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;2;4
| null | null | null |
Optimization;GAN;Convergence
| null | 2.5 | null | null |
iclr
| -0.973329 | 0.927173 | null |
main
| 4.75 |
3;5;5;6
|
2;3;3;3
| null |
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
| null | null | 2.75 | 4 |
Reject
|
5;4;4;3
|
2;2;2;4
|
null |
The University of Hong Kong; The University of Hong Kong, Shanghai AI Laboratory, Shanghai, China; SenseTime Research
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6273; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Shoufa Chen, Enze Xie, Chongjian GE, Runjian Chen, Ding Liang, Ping Luo
|
https://iclr.cc/virtual/2022/poster/6273
|
MLP;Dense Prediction
| null | 3 | null |
https://openreview.net/forum?id=NMEceG4v69Y
|
iclr
| -0.57735 | 0.333333 | null |
main
| 7.5 |
6;8;8;8
|
3;4;3;3
|
https://iclr.cc/virtual/2022/poster/6273
|
CycleMLP: A MLP-like Architecture for Dense Prediction
|
https://github.com/ShoufaChen/CycleMLP
| null | 3.25 | 3.5 |
Oral
|
4;3;3;4
|
3;3;3;3
|
null | null |
2022
| 0 | null | null | 0 | null | null | null | null | null | null | null |
minimizing parameter l2 norm;representation cost;implicit bias
| null | 0 | null | null |
iclr
| 0 | 0 | null |
main
| 0 | null | null | null |
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
| null | null | 0 | 0 |
Desk Reject
| null | null |
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
3;2;2;3;2
| null | null | null |
deep reinforcement learning;off-policy;model-free;sample efficiency;ensembles
| null | 2.2 | null | null |
iclr
| 0 | 0.25 | null |
main
| 4.4 |
3;3;5;5;6
|
3;3;4;3;3
| null |
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
| null | null | 3.2 | 4 |
Reject
|
4;4;4;4;4
|
2;2;3;2;2
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;2;3
| null | null | null |
video;self-supervised learning;representation learning;pre-training;action recognition
| null | 2 | null | null |
iclr
| 0 | 0 | null |
main
| 5 |
5;5;5
|
3;3;3
| null |
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
| null | null | 3 | 4.333333 |
Reject
|
4;4;5
|
2;2;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Robot Skills;Unsupervised Correspondences;Unsupervised Learning;Alignment;Density Matching;Skill Learning;Robot Learning;Transfer Learning;Skill Transfer
| null | 2.75 | null | null |
iclr
| -0.408248 | 0.942809 |
https://sites.google.com/view/translatingrobotskills/home
|
main
| 5 |
3;5;6;6
|
2;3;3;3
| null |
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
| null | null | 2.75 | 3.5 |
Reject
|
4;3;4;3
|
3;2;3;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;3;3;2
| null | null | null |
Explainability;interpretability;graph neural networks;self-supervised learning
| null | 2.5 | null | null |
iclr
| -0.57735 | -0.57735 | null |
main
| 5.25 |
5;5;5;6
|
4;3;4;3
| null |
Task-Agnostic Graph Neural Explanations
| null | null | 3.5 | 4 |
Reject
|
5;5;3;3
|
3;2;3;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
Shapelets;Representational Learning;Clustering;Constrained Clustering;Constrained Learning
| null | 2 | null | null |
iclr
| 0 | 0 |
Not provided
|
main
| 3 |
3;3;3;3
|
2;2;2;2
| null |
CDPS: Constrained DTW-Preserving Shapelets
|
Not provided
| null | 2 | 4.5 |
Withdraw
|
4;5;5;4
|
2;2;2;2
|
null |
Mila - Quebec AI Institute, Canada; McGill University, Canada; École Polytechnique de Montréal, Canada
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6310; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Paul-Aymeric McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar
|
https://iclr.cc/virtual/2022/poster/6310
|
Optimization for Deep learning;Memory augmented Optimizers
| null | 3.25 | null |
https://openreview.net/forum?id=NRX9QZ6yqt
|
iclr
| 0.132453 | 0.688247 | null |
main
| 6.25 |
5;6;6;8
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6310
|
Memory Augmented Optimizers for Deep Learning
| null | null | 3.5 | 3.75 |
Poster
|
4;4;3;4
|
3;4;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
3;1;2;3
| null | null | null |
Graph Neural Network;Adversarial Attacks;Graph Coarsening
| null | 2.75 | null | null |
iclr
| -0.57735 | 1 | null |
main
| 4 |
3;3;5;5
|
2;2;3;3
| null |
Large-Scale Adversarial Attacks on Graph Neural Networks via Graph Coarsening
| null | null | 2.5 | 4.25 |
Withdraw
|
4;5;4;4
|
3;2;3;3
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
3;2;3
| null | null | null |
Time series classification;domain generalization
| null | 1.666667 | null | null |
iclr
| 0.5 | 0.866025 | null |
main
| 6.666667 |
6;6;8
|
2;3;4
| null |
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification
| null | null | 3 | 3.666667 |
Reject
|
4;3;4
|
2;3;0
|
null |
The University of Texas at Austin
|
2022
| 3.666667 |
https://iclr.cc/virtual/2022/poster/6860; None
| null | 0 | null | null | null |
4;3;4
| null |
Chenxi Yang, Swarat Chaudhuri
|
https://iclr.cc/virtual/2022/poster/6860
|
Verified Learning;Neurosymbolic Programs;Safe Learning;Symbolic Execution
| null | 1.666667 | null |
https://openreview.net/forum?id=NYBmJN4MyZ
|
iclr
| 0 | 0 | null |
main
| 6.666667 |
6;6;8
|
3;3;3
|
https://iclr.cc/virtual/2022/poster/6860
|
Safe Neurosymbolic Learning with Differentiable Symbolic Execution
|
https://github.com/cxyang1997/DSE
| null | 3 | 4 |
Poster
|
4;4;4
|
3;2;0
|
null |
Under double-blind review
|
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
neural network gaussian process;neural tangent kernels;eigenstructure;space and frequency;convolutional networks;spherical harmonics;hierarchical locality;over-parameterized networks
| null | 2.75 | null | null |
iclr
| -0.333333 | 1 | null |
main
| 4.5 |
3;5;5;5
|
2;3;3;3
| null |
Eigenspace Restructuring: a Principle of Space and Frequency in Neural Networks
| null | null | 2.75 | 2.75 |
Reject
|
3;3;2;3
|
3;3;2;3
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;2;3
| null | null | null |
IRL
| null | 2.333333 | null | null |
iclr
| -0.5 | 0 | null |
main
| 5.333333 |
5;5;6
|
3;3;3
| null |
A Generalised Inverse Reinforcement Learning Framework
| null | null | 3 | 3.333333 |
Reject
|
3;4;3
|
2;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;3;3;2
| null | null | null |
Anomaly detection;Data refinement;Iterative training
| null | 3 | null | null |
iclr
| 1 | 0.57735 | null |
main
| 5.75 |
5;6;6;6
|
3;4;4;3
| null |
Self-Supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
| null | null | 3.5 | 4.75 |
Reject
|
4;5;5;5
|
3;3;2;4
|
null |
Department of Electrical and Computer Engineering, Stony Brook University; Department of Computer Science, New York University; Department of Computer Science, University of Washington
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6508; None
| null | 0 | null | null | null |
3;2;4;4
| null |
Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey
|
https://iclr.cc/virtual/2022/poster/6508
|
Bayesian learning;online learning
| null | 2 | null |
https://openreview.net/forum?id=NdOoQnYPj_
|
iclr
| -0.96225 | 0.777778 | null |
main
| 6.75 |
5;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6508
|
BAM: Bayes with Adaptive Memory
| null | null | 3.75 | 3.5 |
Poster
|
4;4;3;3
|
2;2;4;0
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null |
transformers;long-term-memory;sequential processing;lifelong learning
| null | 1.666667 | null | null |
iclr
| -0.5 | -1 | null |
main
| 2.333333 |
1;3;3
|
4;3;3
| null |
Updater-Extractor Architecture for Inductive World State Representations
| null | null | 3.333333 | 3.666667 |
Withdraw
|
4;4;3
|
1;2;2
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
2;3;4
| null | null | null |
Reinforcement learning;priors;structure;exploration
| null | 2 | null | null |
iclr
| 0 | 0 | null |
main
| 6 |
5;5;8
|
4;4;4
| null |
Better state exploration using action sequence equivalence
| null | null | 4 | 4 |
Reject
|
4;4;4
|
2;2;2
|
null | null |
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6571; None
| null | 0 | null | null | null |
3;3;4;3
| null |
Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Re
|
https://iclr.cc/virtual/2022/poster/6571
|
Sparse training;butterfly;low-rank;Lottery Tickets;Block sparsity;Hashing;Transformer;ViT;MLP-Mixer
| null | 2.25 | null |
https://openreview.net/forum?id=Nfl-iXa-y7R
|
iclr
| 0.57735 | 0 | null |
main
| 7.5 |
6;8;8;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6571
|
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
| null | null | 3 | 3.5 |
Spotlight
|
3;4;4;3
|
3;3;0;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;2;3
| null | null | null |
domain generalization;out-of-distribution generalization;invariant risk minimization;invariant representation learning
| null | 2.25 | null | null |
iclr
| -0.544331 | -0.19245 | null |
main
| 4.25 |
3;3;5;6
|
4;3;4;3
| null |
On Invariance Penalties for Risk Minimization
| null | null | 3.5 | 4 |
Reject
|
5;4;3;4
|
2;2;2;3
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;2;3;1
| null | null | null |
Deep Reinforcement Learning;Exploration;Intrinsic Motivation;Distributed Learning
| null | 2.75 | null | null |
iclr
| 0.333333 | 0.816497 | null |
main
| 4.5 |
3;5;5;5
|
2;4;3;3
| null |
Divide and Explore: Multi-Agent Separate Exploration with Shared Intrinsic Motivations
| null | null | 3 | 4.25 |
Reject
|
4;5;4;4
|
2;3;3;3
|
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