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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null |
LMU Munich; Vrije Universiteit Amsterdam, Discovery Lab, Elsevier; Mila, McGill University
|
2022
| 2.6 |
https://iclr.cc/virtual/2022/poster/6321; None
| null | 0 | null | null | null |
2;2;3;3;3
| null |
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
|
https://iclr.cc/virtual/2022/poster/6321
|
Query embedding;Approximate Query Answering;Graph Neural Network;Hyper-relational Graph;Knowledge Graph
| null | 2.8 | null |
https://openreview.net/forum?id=4rLw09TgRw9
|
iclr
| 0.456435 | 0.912871 | null |
main
| 6 |
5;5;6;6;8
|
3;3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6321
|
Query Embedding on Hyper-Relational Knowledge Graphs
| null | null | 3.2 | 3.4 |
Poster
|
2;4;4;3;4
|
2;3;3;3;3
|
null | null |
2022
| 1.25 | null | null | 0 | null | null | null |
1;1;2;1
| null | null | null |
Social Media;Twitter;NLP;Depression;Mental Health
| null | 1 | null | null |
iclr
| 0 | -0.522233 | null |
main
| 3.5 |
3;3;3;5
|
3;2;4;2
| null |
SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Depression Detection on Twitter
| null | null | 2.75 | 4 |
Reject
|
5;5;2;4
|
1;2;1;0
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
speech processing;object detection;deep neural network;sound object;detection and localization;filter bank design
| null | 2.25 | null | null |
iclr
| -0.258199 | 0 | null |
main
| 5.75 |
5;6;6;6
|
3;3;3;3
| null |
Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks
| null | null | 3 | 3.5 |
Reject
|
4;5;2;3
|
1;2;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;2;3
| null | null | null |
federated learning;training preference;system perspective;hyper-parameter tuning
| null | 2.2 | null | null |
iclr
| 0.25 | 0.408248 | null |
main
| 3.6 |
3;3;3;3;6
|
3;2;2;3;3
| null |
Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
| null | null | 2.6 | 3.8 |
Withdraw
|
4;4;4;3;4
|
2;2;2;2;3
|
null |
Georgia Institute of Technology; School of Data Science, Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6903; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Ruilin Li, Hongyuan Zha, Molei Tao
|
https://iclr.cc/virtual/2022/poster/6903
|
unadjusted Langevin algorithm / Langevin Monte Carlo;non-asymptotic sampling error in Wasserstein-2 distance;optimal dimension dependence;mean square analysis
| null | 2 | null |
https://openreview.net/forum?id=5-2mX9_U5i
|
iclr
| 0.57735 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6903
|
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
| null | null | 3.75 | 3.75 |
Poster
|
4;3;4;4
|
2;3;3;0
|
null |
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China; BNRIST, Tsinghua University, Beijing 100084, China; Department of Computer Science and Engineering, UCR, CA 92521, USA
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6422; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang
|
https://iclr.cc/virtual/2022/poster/6422
|
Federated learning;non-i.i.d. data
| null | 2 | null |
https://openreview.net/forum?id=541PxiEKN3F
|
iclr
| 0.870388 | 0 | null |
main
| 5.75 |
5;6;6;6
|
3;3;2;4
|
https://iclr.cc/virtual/2022/poster/6422
|
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
|
https://github.com/Zoesgithub/FedReg
| null | 3 | 3.25 |
Poster
|
2;4;4;3
|
2;3;3;0
|
null |
CIFAR Senior Fellow, Mila – Université de Montréal; Mila – Université de Montréal; CIFAR AI Chair, Mila – Université de Montréal
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6055; None
| null | 0 | null | null | null |
3;3;4;3
| null |
Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon
|
https://iclr.cc/virtual/2022/poster/6055
|
meta-learning;few-shot learning;dynamical systems
| null | 3 | null |
https://openreview.net/forum?id=57PipS27Km
|
iclr
| -0.333333 | 1 | null |
main
| 7.5 |
6;8;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6055
|
Continuous-Time Meta-Learning with Forward Mode Differentiation
|
https://github.com/tristandeleu/jax-comln
| null | 3.75 | 3.75 |
Spotlight
|
4;4;4;3
|
3;2;4;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
Approximate MCMC;Langevin Dynamics;Stochastic Gradient MCMC
| null | 1.75 | null | null |
iclr
| 0.594089 | 0.939336 | null |
main
| 5.25 |
3;5;5;8
|
1;3;2;4
| null |
Structured Stochastic Gradient MCMC
| null | null | 2.5 | 4 |
Reject
|
4;4;3;5
|
2;2;2;1
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;2;4
| null | null | null |
Double Descent;Denoising Neural Neworks;High Dimensional Statistics.
| null | 3 | null | null |
iclr
| 0.288675 | 0 | null |
main
| 5 |
3;5;6;6
|
3;3;3;3
| null |
Training Data Size Induced Double Descent For Denoising Neural Networks and the Role of Training Noise Level
| null | null | 3 | 3 |
Reject
|
3;2;3;4
|
3;3;4;2
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
2;1;2
| null | null | null |
Self-supervised Learning;Video Analysis
| null | 0.666667 | null | null |
iclr
| -0.5 | -1 | null |
main
| 3.666667 |
3;3;5
|
4;4;3
| null |
Self-supervised Discovery of Human Actons from Long Kinematic Videos
| null | null | 3.666667 | 4.333333 |
Withdraw
|
4;5;4
|
0;2;0
|
null |
Department of Mathematical and Statistical Sciences, University of Alberta; Department of Computing Science, University of Alberta
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7051; None
| null | 0 | null | null | null |
2;2;4;4
| null |
Kirby Banman, Garnet Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White
|
https://iclr.cc/virtual/2022/poster/7051
|
optimization;momentum;stochastic gradient descent;non-iid sampling
| null | 2.25 | null |
https://openreview.net/forum?id=5ECQL05ub0J
|
iclr
| -0.036835 | 0.916949 | null |
main
| 6.25 |
3;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/7051
|
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
| null | null | 3.75 | 3.25 |
Poster
|
3;4;4;2
|
0;3;3;3
|
null |
IBM Research, Yorktown Heights; School of EECS, Oregon State Univ.; Google Inc., Mountain View
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6061; None
| null | 0 | null | null | null |
3;3;3
| null |
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
|
https://iclr.cc/virtual/2022/poster/6061
| null | null | 3.333333 | null |
https://openreview.net/forum?id=5FUq05QRc5b
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/6061
|
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
| null | null | 4 | 2.666667 |
Spotlight
|
2;2;4
|
3;3;4
|
null |
ByteDance AI Lab, Shanghai, China; University of California, Santa Barbara
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/7033; None
| null | 0 | null | null | null |
2;3;3
| null |
Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li
|
https://iclr.cc/virtual/2022/poster/7033
|
multilingual non-autoregressive machine translation;contextualized code-switching;back-translation
| null | 3 | null |
https://openreview.net/forum?id=5HvpvYd68b
|
iclr
| 0 | 0 | null |
main
| 6.333333 |
5;6;8
|
3;3;3
|
https://iclr.cc/virtual/2022/poster/7033
|
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
| null | null | 3 | 4 |
Poster
|
4;4;4
|
3;3;3
|
null |
Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute (AIRI); Space Applications Centre, Indian Space Research Organisation
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6183; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Litu Rout, Alexander Korotin, Evgeny Burnaev
|
https://iclr.cc/virtual/2022/poster/6183
|
Optimal Transport Map;Generative Modeling;Unpaired Image Restoration
| null | 2.5 | null |
https://openreview.net/forum?id=5JdLZg346Lw
|
iclr
| 0 | 0.973329 | null |
main
| 6.25 |
5;6;6;8
|
2;3;3;4
|
https://iclr.cc/virtual/2022/poster/6183
|
Generative Modeling with Optimal Transport Maps
| null | null | 3 | 4 |
Poster
|
4;5;3;4
|
2;3;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null | null | null | 2.25 | null | null |
iclr
| -0.57735 | -0.707107 | null |
main
| 4 |
3;3;5;5
|
4;3;3;2
| null |
Universally rank consistent ordinal regression in neural networks
| null | null | 3 | 3.75 |
Withdraw
|
4;4;3;4
|
2;3;2;2
|
null |
Mila, Universit é de Montreal; Samsung - SAIT AI Lab, Montreal; University of Amsterdam; TNO
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6515; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Yan Zhang, David Zhang, Simon Lacoste-Julien, Gertjan J Burghouts, Cees G Snoek
|
https://iclr.cc/virtual/2022/poster/6515
|
set prediction;permutation equivariance;implicit differentiation
| null | 3.5 | null |
https://openreview.net/forum?id=5K7RRqZEjoS
|
iclr
| 0.777778 | 0.522233 | null |
main
| 6.75 |
5;6;8;8
|
2;4;3;4
|
https://iclr.cc/virtual/2022/poster/6515
|
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
| null | null | 3.25 | 3.75 |
Poster
|
3;4;4;4
|
3;4;3;4
|
null |
Department of Computer Science and Engineering, University of Notre Dame
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6931; None
| null | 0 | null | null | null |
2;4;4;3
| null |
Brian DuSell, David Chiang
|
https://iclr.cc/virtual/2022/poster/6931
|
RNN;pushdown automata;nondeterminism;formal languages;language modeling
| null | 3 | null |
https://openreview.net/forum?id=5LXw_QplBiF
|
iclr
| -0.57735 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6931
|
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
| null | null | 3.25 | 2.75 |
Spotlight
|
3;3;2;3
|
2;4;4;2
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;3;3
| null | null | null | null | null | 2.25 | null | null |
iclr
| -0.894427 | -0.904534 | null |
main
| 4 |
3;3;5;5
|
4;4;3;2
| null |
Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalization
| null | null | 3.25 | 3.5 |
Withdraw
|
5;4;2;3
|
2;2;3;2
|
null |
NYU Multimedia and Visual Computing Lab, USA; NYU Tandon School of Engineering, New York University, USA; NYUAD Center for Artificial Intelligence and Robotics (CAIR), Abu Dhabi, UAE; New York University Abu Dhabi, UAE
|
2022
| 3.5 |
https://iclr.cc/virtual/2022/poster/6423; None
| null | 0 | null | null | null |
3;4;3;4
| null |
Hao Huang, Yi Fang
|
https://iclr.cc/virtual/2022/poster/6423
| null | null | 3 | null |
https://openreview.net/forum?id=5MLb3cLCJY
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
3;4;3;4
|
https://iclr.cc/virtual/2022/poster/6423
|
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning
| null | null | 3.5 | 3.75 |
Poster
|
4;3;4;4
|
2;3;3;4
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;2;4
| null | null | null | null | null | 2.25 | null | null |
iclr
| 0.333333 | 0.333333 | null |
main
| 3.5 |
3;3;3;5
|
3;2;3;3
| null |
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts
| null | null | 2.75 | 3.5 |
Reject
|
4;4;2;4
|
3;2;2;2
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;2;2;2
| null | null | null |
Named Entity Recognition;Natural Language Processing
| null | 1.75 | null | null |
iclr
| -0.870388 | 0.852803 | null |
main
| 3.5 |
1;3;5;5
|
2;3;3;4
| null |
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
| null | null | 3 | 4.25 |
Withdraw
|
5;4;4;4
|
1;2;2;2
|
null |
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/7123; None
| null | 0 | null | null | null |
3;3;4
| null |
Yifei Wang, Mert Pilanci
|
https://iclr.cc/virtual/2022/poster/7123
|
Two-layer ReLU networks;convex optimization;convex duality;gradient flow
| null | 1 | null |
https://openreview.net/forum?id=5QhUE1qiVC6
|
iclr
| 0.5 | 0.5 | null |
main
| 6.666667 |
6;6;8
|
3;4;4
|
https://iclr.cc/virtual/2022/poster/7123
|
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
| null | null | 3.666667 | 2.666667 |
Poster
|
2;3;3
|
0;3;0
|
null |
DeepMind; EHESS, ENS-PSL, CNRS, INRIA, Meta AI Research; Google Research, Brain Team; INRIA, Paris
|
2022
| 3.5 |
https://iclr.cc/virtual/2022/poster/6605; None
| null | 0 | null | null | null |
3;4;3;4
| null |
Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
|
https://iclr.cc/virtual/2022/poster/6605
| null | null | 3.25 | null |
https://openreview.net/forum?id=5Qkd7-bZfI
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
3;3;3;2
|
https://iclr.cc/virtual/2022/poster/6605
|
On the role of population heterogeneity in emergent communication
| null | null | 2.75 | 3.5 |
Poster
|
4;2;4;4
|
3;4;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
Deep Learning;Generative Models;Adversarial Training
| null | 2 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3
|
2;2;2
| null |
Intervention Adversarial Auto-Encoder
| null | null | 2 | 4 |
Reject
|
4;5;3
|
2;2;2
|
null |
Microsoft Research; Department of Computer and Information Science, University of Pennsylvania
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6937; None
| null | 0 | null | null | null |
3;4;3;2
| null |
Jorge Mendez, Harm van Seijen, ERIC EATON
|
https://iclr.cc/virtual/2022/poster/6937
|
lifelong learning;continual learning;reinforcement learning;composition;modularity;compositionality
| null | 3 | null |
https://openreview.net/forum?id=5XmLzdslFNN
|
iclr
| 0.333333 | 0.333333 | null |
main
| 6.5 |
6;6;6;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6937
|
Modular Lifelong Reinforcement Learning via Neural Composition
| null | null | 3.75 | 3.75 |
Poster
|
4;3;4;4
|
2;4;3;3
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;2;1;2
| null | null | null | null | null | 2.25 | null | null |
iclr
| 1 | 1 | null |
main
| 3.5 |
3;3;3;5
|
2;2;2;3
| null |
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
| null | null | 2.25 | 4.25 |
Reject
|
4;4;4;5
|
2;2;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
one-to-many prediction;inverse problem;implicit maximum likelihood estimation
| null | 2.25 | null | null |
iclr
| -0.555556 | 0.555556 | null |
main
| 4.25 |
3;3;5;6
|
2;3;3;3
| null |
Generating Unobserved Alternatives with Tower Implicit Model (TIM)
| null | null | 2.75 | 3.25 |
Withdraw
|
3;4;3;3
|
2;2;2;3
|
null | null |
2022
| 3.333333 | null | null | 0 | null | null | null |
3;4;3
| null | null | null |
graph neural network;graph kernel;deep learning
| null | 2.333333 | null | null |
iclr
| -0.5 | -1 | null |
main
| 5.666667 |
5;6;6
|
4;3;3
| null |
Graph Kernel Neural Networks
| null | null | 3.333333 | 3.666667 |
Reject
|
4;4;3
|
2;3;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
domain adaptation;transfer learning;deep learning;density estimation;transport
| null | 1.25 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
3;3;2;3
| null |
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation
| null | null | 2.75 | 3.75 |
Reject
|
4;4;3;4
|
2;0;1;2
|
null |
The University of Hong Kong; Visual Geometry Group, University of Oxford
|
2022
| 2.333333 |
https://iclr.cc/virtual/2022/poster/6727; None
| null | 0 | null | null | null |
2;3;2
| null |
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
|
https://iclr.cc/virtual/2022/poster/6727
|
open set recognition;image recognition;computer vision
| null | 3 | null |
https://openreview.net/forum?id=5hLP5JY9S2d
|
iclr
| 0 | 0 | null |
main
| 7.333333 |
6;8;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/6727
|
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
|
https://github.com/sgvaze/osr_closed_set_all_you_need
| null | 4 | 4 |
Oral
|
4;4;4
|
3;3;3
|
null |
UC San Diego; University of Wisconsin, Madison
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6854; None
| null | 0 | null | null | null |
3;2;4
| null |
Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha
|
https://iclr.cc/virtual/2022/poster/6854
|
local differential privacy;shuffle DP model
| null | 3.333333 | null |
https://openreview.net/forum?id=5i2f-aR6B8H
|
iclr
| 0 | 0 | null |
main
| 6.666667 |
6;6;8
|
3;3;3
|
https://iclr.cc/virtual/2022/poster/6854
|
Privacy Implications of Shuffling
| null | null | 3 | 3 |
Poster
|
3;3;3
|
3;3;4
|
null |
Mila, University of Montreal; DeepMind, London, UK
|
2022
| 2 |
https://iclr.cc/virtual/2022/poster/7001; None
| null | 0 | null | null | null |
1;1;3;3
| null |
David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt
|
https://iclr.cc/virtual/2022/poster/7001
|
credit assignment;directional derivative;recurrent networks
| null | 2.25 | null |
https://openreview.net/forum?id=5i7lJLuhTm
|
iclr
| -0.980196 | 0.857493 | null |
main
| 4.5 |
1;5;6;6
|
2;3;4;3
|
https://iclr.cc/virtual/2022/poster/7001
|
Learning by Directional Gradient Descent
| null | null | 3 | 3.5 |
Poster
|
5;3;3;3
|
0;3;3;3
|
null |
Microsoft Research India; IIT Kanpur & Microsoft Research India
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/6235; None
| null | 0 | null | null | null |
3;3;4
| null |
S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, SUNDARARAJAN SELLAMANICKAM
|
https://iclr.cc/virtual/2022/poster/6235
|
Graph convolutional networks;Graph neural networks;Optimization;Lazy updates
| null | 3 | null |
https://openreview.net/forum?id=5kq11Tl1z4
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6
|
4;3;4
|
https://iclr.cc/virtual/2022/poster/6235
|
IGLU: Efficient GCN Training via Lazy Updates
| null | null | 3.666667 | 3 |
Poster
|
3;3;3
|
3;3;3
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
2;3;3;4
| null | null | null |
Attention;transformers;efficiency;machine translation;language modeling
| null | 3.25 | null | null |
iclr
| 0.492366 | 0 | null |
main
| 5 |
3;5;6;6
|
4;3;4;4
| null |
ABC: Attention with Bounded-memory Control
| null | null | 3.75 | 2.75 |
Withdraw
|
2;3;4;2
|
2;3;4;4
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;2;3
| null | null | null |
Bayesian deep learning;image classification;functional variational inference;Dirichlet distribution
| null | 2.25 | null | null |
iclr
| -0.816497 | 0.866025 | null |
main
| 5 |
3;5;6;6
|
2;3;3;4
| null |
Function-Space Variational Inference for Deep Bayesian Classification
| null | null | 3 | 3.5 |
Reject
|
4;4;3;3
|
2;2;2;3
|
null | null |
2022
| 2.6 | null | null | 0 | null | null | null |
2;2;3;3;3
| null | null | null |
multi-agent reinforcement learning;risk-sensitive reinforcement learning;reinforcement learning;distributional reinforcement learning
| null | 2.4 | null | null |
iclr
| -0.408248 | 0.763763 | null |
main
| 4.8 |
3;3;6;6;6
|
2;3;4;3;4
| null |
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
| null | null | 3.2 | 3.8 |
Reject
|
4;4;4;4;3
|
2;2;3;3;2
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
3;2;2;2
| null | null | null |
Fairness AI;Sampling bias;Robustness
| null | 2.25 | null | null |
iclr
| 0 | 0 | null |
main
| 3.5 |
3;3;3;5
|
3;4;2;3
| null |
$L_q$ regularization for Fairness AI robust to sampling bias
| null | null | 3 | 4 |
Withdraw
|
4;3;5;4
|
2;2;3;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;2;3
| null | null | null |
Natural Language Generation;Text Generation;Privacy Protection
| null | 2.75 | null | null |
iclr
| -0.080845 | -0.140028 | null |
main
| 5.75 |
3;6;6;8
|
4;3;3;4
| null |
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
| null | null | 3.5 | 3.75 |
Reject
|
4;3;4;4
|
2;3;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
3;2;2;3
| null | null | null |
Active learning
| null | 2.25 | null | null |
iclr
| 0 | 0.916949 | null |
main
| 4.75 |
3;3;5;8
|
3;3;3;4
| null |
Improving greedy core-set configurations for active learning with uncertainty-scaled distances
| null | null | 3.25 | 4 |
Reject
|
4;4;4;4
|
2;2;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;4;2
| null | null | null |
Reinforcement Learning;safe exploration;Singular Value Decomposition;strictly satisfy constraint;Model-based
| null | 2 | null | null |
iclr
| 0.942809 | 1 | null |
main
| 3.5 |
3;3;3;5
|
3;3;3;4
| null |
Safe Exploration in Linear Equality Constraint
| null | null | 3.25 | 3 |
Withdraw
|
2;2;3;5
|
2;2;2;2
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null |
Hierarchical Reinforcement Learning;Spatial Hierarchy;Autonomous Driving;Path Planning
| null | 1.666667 | null | null |
iclr
| -0.866025 | 0.866025 | null |
main
| 3 |
1;3;5
|
2;3;3
| null |
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy Space in Autonomous Driving
| null | null | 2.666667 | 3.666667 |
Withdraw
|
4;4;3
|
1;2;2
|
null |
State Key Lab of Software Development Environment, Beihang University; Shen Yuan Honors College, Beihang University; Baidu Inc.; S-Lab, Nanyang Technological University; State Key Lab of Software Development Environment, Beihang University
|
2022
| 2.8 |
https://iclr.cc/virtual/2022/poster/6006; None
| null | 0 | null | null | null |
2;3;3;3;3
| null |
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua YAN, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
|
https://iclr.cc/virtual/2022/poster/6006
|
Network Binarization;Model Compression;BERT;NLP
| null | 2.4 | null |
https://openreview.net/forum?id=5xEgrl_5FAJ
|
iclr
| -0.583333 | 0.666667 | null |
main
| 6.2 |
5;6;6;6;8
|
3;3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6006
|
BiBERT: Accurate Fully Binarized BERT
| null | null | 3.4 | 3.4 |
Poster
|
4;4;3;3;3
|
3;2;2;2;3
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3;3
| null | null | null |
Reinforcement Learning;Policy Optimization;Importance Sampling;Variance Reduction
| null | 2 | null | null |
iclr
| 0.226455 | 0.784465 | null |
main
| 6 |
3;5;6;10
|
3;3;4;4
| null |
Exploiting Minimum-Variance Policy Evaluation for Policy Optimization
| null | null | 3.5 | 3.75 |
Reject
|
4;3;4;4
|
1;2;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;2;3
| null | null | null |
autoencoders;SEMs
| null | 0.75 | null | null |
iclr
| 0.333333 | 0.522233 | null |
main
| 3.5 |
3;3;3;5
|
3;1;2;3
| null |
Neural network architectures for disentangling the multimodal structure of data ensembles
| null | null | 2.25 | 2.75 |
Reject
|
3;3;2;3
|
2;1;0;0
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
2;2;1;2
| null | null | null | null | null | 1.5 | null | null |
iclr
| 0 | 1 | null |
main
| 3 |
1;3;3;5
|
1;2;2;3
| null |
An Application of Pseudo-log-likelihoods to Natural Language Scoring
| null | null | 2 | 3.75 |
Reject
|
4;4;3;4
|
0;2;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;3;2
| null | null | null |
Reusable Skill;Option-Controller Network
| null | 2.5 | null | null |
iclr
| 0 | 0 | null |
main
| 4 |
3;3;5;5
|
3;3;3;3
| null |
Inducing Reusable Skills From Demonstrations with Option-Controller Network
| null | null | 3 | 4.5 |
Reject
|
5;4;5;4
|
3;2;3;2
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
1;3;3
| null | null | null | null | null | 2.666667 | null | null |
iclr
| 0 | 0.5 | null |
main
| 5 |
3;6;6
|
3;4;3
| null |
Cross Domain Ensemble Distillation for Domain Generalization
| null | null | 3.333333 | 4 |
Withdraw
|
4;4;4
|
2;3;3
|
null |
School of Artificial Intelligence, Optics and Electronics (iOPEN) and School of Cybersecurity, Northwestern Polytechnical University; College of Intelligence and Computing, Tianjin University
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6794; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Boyan Li, Hongyao Tang, YAN ZHENG, Jianye HAO, Pengyi Li, Zhen Wang, Zhaopeng Meng, LI Wang
|
https://iclr.cc/virtual/2022/poster/6794
| null | null | 3.25 | null |
https://openreview.net/forum?id=64trBbOhdGU
|
iclr
| -0.333333 | -0.333333 | null |
main
| 7.5 |
6;8;8;8
|
4;4;3;4
|
https://iclr.cc/virtual/2022/poster/6794
|
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
| null | null | 3.75 | 3.25 |
Poster
|
4;1;4;4
|
3;3;4;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
Explainable AI;Video Classification;Concept Extraction
| null | 2.25 | null | null |
iclr
| -0.333333 | -0.333333 | null |
main
| 5.25 |
5;5;5;6
|
3;3;4;3
| null |
Automatic Concept Extraction for Concept Bottleneck-based Video Classification
| null | null | 3.25 | 3.25 |
Reject
|
4;3;3;3
|
2;2;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
contrastive learning;Bayesian methods;conditional distribution;label imbalance;doubly contrastive
| null | 2 | null | null |
iclr
| 0.080845 | -0.140028 | null |
main
| 5.75 |
3;6;6;8
|
4;3;3;4
| null |
Contrastive Attraction and Contrastive Repulsion for Representation Learning
| null | null | 3.5 | 4.25 |
Reject
|
4;5;4;4
|
0;2;3;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
Multi-goal RL;RL with sparse reward.
| null | 2.25 | null | null |
iclr
| -0.57735 | 0.816497 | null |
main
| 4.25 |
3;3;3;8
|
3;2;3;4
| null |
SPLID: Self-Imitation Policy Learning through Iterative Distillation
| null | null | 3 | 3.5 |
Reject
|
4;4;3;3
|
2;2;2;3
|
null |
Department of Electrical Engineering and Computer Science, University of California, Berkeley
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/5941; None
| null | 0 | null | null | null |
3;2;3;3
| null |
Ilya Kostrikov, Ashvin Nair, Sergey Levine
|
https://iclr.cc/virtual/2022/poster/5941
|
Deep Reinforcement Learning;Offline Reinforcement Learning;Batch Reinforcement Learning;Continuous Control
| null | 1.5 | null |
https://openreview.net/forum?id=68n2s9ZJWF8
|
iclr
| -0.187317 | 0 | null |
main
| 6 |
5;5;6;8
|
4;4;4;4
|
https://iclr.cc/virtual/2022/poster/5941
|
Offline Reinforcement Learning with Implicit Q-Learning
| null | null | 4 | 3.75 |
Poster
|
4;5;2;4
|
0;2;2;2
|
null |
Under double-blind review
|
2022
| 2.333333 | null | null | 0 | null | null | null |
3;2;2
| null | null | null |
Heterogeneous graph;graph neural network.
| null | 2 | null | null |
iclr
| 0 | 0.5 | null |
main
| 3.666667 |
3;3;5
|
2;3;3
| null |
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
| null | null | 2.666667 | 4 |
Withdraw
|
5;3;4
|
2;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
open-domain question answering;knowledge graph;pre-trained language model
| null | 1.5 | null | null |
iclr
| -0.899229 | -0.132453 | null |
main
| 4.75 |
3;5;5;6
|
3;2;3;3
| null |
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
| null | null | 2.75 | 3.75 |
Withdraw
|
5;4;3;3
|
0;2;2;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
structural biology;self-attention;transformer;proteins;small molecules;crystals;geometric deel learning
| null | 2.25 | null | null |
iclr
| 0 | 0 | null |
main
| 4 |
3;3;5;5
|
3;2;3;2
| null |
3D-Transformer: Molecular Representation with Transformer in 3D Space
| null | null | 2.5 | 3 |
Reject
|
3;3;2;4
|
2;3;2;2
|
null |
Department of Computer Science, University of Virginia
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6167; None
| null | 0 | null | null | null |
3;3;3;4
| null |
Xiao Zhang, David Evans
|
https://iclr.cc/virtual/2022/poster/6167
|
Concentration of Measure;Intrinsic Adversarial Robustness;Label Uncertainty
| null | 3.25 | null |
https://openreview.net/forum?id=6ET9SzlgNX
|
iclr
| -0.870388 | 0.57735 | null |
main
| 6.5 |
6;6;6;8
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6167
|
Understanding Intrinsic Robustness Using Label Uncertainty
| null | null | 3.5 | 3.25 |
Poster
|
3;4;4;2
|
3;3;3;4
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
3;2;2;3
| null | null | null |
Multi-Agent Learning;Reinforcement Learning;Energy-based Models.
| null | 1.75 | null | null |
iclr
| -0.471405 | 0 |
sites.google.com/view/surprise-web/
|
main
| 5.75 |
5;6;6;6
|
3;3;2;4
| null |
Surprise Minimizing Multi-Agent Learning with Energy-based Models
| null | null | 3 | 3 |
Reject
|
4;4;1;3
|
3;2;0;2
|
null |
Singapore University of Technology and Design, Singapore; ARC Lab, Tencent PCG; Peking University, Beijing, China and Peng Cheng Laboratory, Shenzhen, China; Peking University, Beijing, China
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7084; None
| null | 0 | null | null | null |
3;2;4
| null |
Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, LINGYU DUAN
|
https://iclr.cc/virtual/2022/poster/7084
|
domain generalization;uncertainty modeling
| null | 3 | null |
https://openreview.net/forum?id=6HN7LHyzGgC
|
iclr
| -0.5 | 0.5 | null |
main
| 6.666667 |
6;6;8
|
4;3;4
|
https://iclr.cc/virtual/2022/poster/7084
|
Uncertainty Modeling for Out-of-Distribution Generalization
|
https://github.com/lixiaotong97/DSU
| null | 3.666667 | 3.333333 |
Poster
|
4;3;3
|
3;2;4
|
null |
Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France
|
2022
| 2.25 |
https://iclr.cc/virtual/2022/poster/7154; None
| null | 0 | null | null | null |
2;2;2;3
| null |
Cédric Rommel, Thomas Moreau, Joseph Paillard, Alexandre Gramfort
|
https://iclr.cc/virtual/2022/poster/7154
|
Neuroscience;EEG;Sleep staging;Automatic data augmentation
| null | 2.5 | null |
https://openreview.net/forum?id=6IYp-35L-xJ
|
iclr
| 0.648886 | -0.132453 | null |
main
| 6.25 |
5;6;6;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/7154
|
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
| null | null | 3.25 | 3 |
Poster
|
3;3;2;4
|
2;3;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;2;3;4
| null | null | null |
Motion Planning;Attention Networks
| null | 2.75 | null | null |
iclr
| -0.333333 | 0.333333 | null |
main
| 5.25 |
3;6;6;6
|
3;3;4;3
| null |
Motion Planning Transformers: One Model to Plan them All
| null | null | 3.25 | 3.75 |
Reject
|
4;3;4;4
|
2;2;3;4
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Structured Output Model;Interpretable Learning;Deep Learning
| null | 1.25 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
2;3;2;3
| null |
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
| null | null | 2.5 | 3.25 |
Reject
|
2;4;3;4
|
2;0;2;1
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;1;3
| null | null | null |
Federated Learning;Contrastive Learning;Self-supervised Learning
| null | 2.25 | null | null |
iclr
| -0.914659 | 0.54886 | null |
main
| 3.25 |
1;3;3;6
|
3;2;2;4
| null |
Federated Contrastive Representation Learning with Feature Fusion and Neighborhood Matching
| null | null | 2.75 | 4 |
Withdraw
|
5;5;4;2
|
2;3;1;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;4;2
| null | null | null |
Graph neural networks;Black-box attacks;Structure perturbation;Bandits;Sublinear query complexity
| null | 2.75 | null | null |
iclr
| -1 | 0.816497 | null |
main
| 4.5 |
3;5;5;5
|
2;3;3;4
| null |
Bandits for Black-box Attacks to Graph Neural Networks with Structure Perturbation
| null | null | 3 | 3.5 |
Withdraw
|
5;3;3;3
|
2;3;3;3
|
null |
School of Mathematical Sciences, Peking University; Salesforce Research; Department of Statistics, UC Berkeley
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7074; None
| null | 0 | null | null | null |
3;2;3;4
| null |
Ziang Song, Song Mei, Yu Bai
|
https://iclr.cc/virtual/2022/poster/7074
|
reinforcement learning theory;multi-agent RL;Markov games;general-sum games
| null | 0.75 | null |
https://openreview.net/forum?id=6MmiS0HUJHR
|
iclr
| 0.57735 | 1 | null |
main
| 7.5 |
6;8;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/7074
|
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
| null | null | 3.75 | 3.5 |
Poster
|
3;3;4;4
|
3;0;0;0
|
null | null |
2022
| 2.6 | null | null | 0 | null | null | null |
2;2;2;4;3
| null | null | null |
GPT-3;Codex;LLMs;Language Models;Knowledge Extraction;Embodied Agents;Action Planning
| null | 3 | null | null |
iclr
| 0.800095 | 0.184637 |
https://sites.google.com/view/language-model-as-planner
|
main
| 5.4 |
3;5;5;6;8
|
3;3;3;4;3
| null |
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
| null | null | 3.2 | 4.2 |
Reject
|
4;4;4;4;5
|
2;2;3;4;4
|
null |
DEIB, Politecnico di Milano, Milan, Italy; CNR-IFN, Milan, Italy; FABIT, Universita di Bologna, Bologna, Italy
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6831; None
| null | 0 | null | null | null |
2;2;4;3
| null |
Lorenzo Moro, Amarildo Likmeta, Enrico Prati, Marcello Restelli
|
https://iclr.cc/virtual/2022/poster/6831
|
Reinforcement Learning;Goal-Directed Planning;Monte Carlo Tree Search
| null | 2.75 | null |
https://openreview.net/forum?id=6NePxZwfae
|
iclr
| 0.493742 | -0.493742 | null |
main
| 6.25 |
3;6;8;8
|
4;4;4;3
|
https://iclr.cc/virtual/2022/poster/6831
|
Goal-Directed Planning via Hindsight Experience Replay
| null | null | 3.75 | 4.25 |
Poster
|
4;4;5;4
|
2;3;3;3
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
2;3;3
| null | null | null |
causality;interpretations;neural causal models;induction
| null | 3 | null | null |
iclr
| 0.802955 | 0.917663 | null |
main
| 5.666667 |
3;6;8
|
2;3;3
| null |
Structural Causal Interpretation Theorem
| null | null | 2.666667 | 3.333333 |
Reject
|
3;3;4
|
3;2;4
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;3;3
| null | null | null |
top-k;top-5;imagenet
| null | 2.75 | null | null |
iclr
| -0.374634 | 0 | null |
main
| 5 |
3;5;6;6
|
3;3;3;3
| null |
Differentiable Top-k Classification Learning
| null | null | 3 | 3.75 |
Reject
|
4;5;4;2
|
3;2;3;3
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
2;2;2;3;3
| null | null | null |
distributed training;byzantine tolerance;volunteer computing
| null | 2 | null | null |
iclr
| 0.275839 | 0.906327 | null |
main
| 4.6 |
3;3;5;6;6
|
2;2;3;4;3
| null |
Secure Distributed Training at Scale
| null | null | 2.8 | 3.2 |
Reject
|
2;4;3;4;3
|
2;1;2;3;2
|
null |
University of Illinois at Urbana-Champaign
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6973; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Matthew Chang, Arjun Gupta, Saurabh Gupta
|
https://iclr.cc/virtual/2022/poster/6973
|
Reinforcement Learning;Offline RL;Offline RL without actions
| null | 2.75 | null |
https://openreview.net/forum?id=6Pe99Juo9gd
|
iclr
| 0.207514 | 0 |
https://matthewchang.github.io/latent-action-qlearning-site/
|
main
| 6.25 |
5;6;6;8
|
3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6973
|
Learning Value Functions from Undirected State-only Experience
| null | null | 3 | 3.25 |
Poster
|
2;4;4;3
|
2;3;2;4
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;2;3
| null | null | null |
subset selection;approximation algorithm;active learning;efficient training
| null | 2 | null | null |
iclr
| -0.57735 | 0.57735 | null |
main
| 4 |
3;3;5;5
|
2;3;3;3
| null |
Less data is more: Selecting informative and diverse subsets with balancing constraints
| null | null | 2.75 | 3.75 |
Reject
|
4;4;4;3
|
2;2;2;2
|
null |
Deepmind; Carnegie Mellon University; UC San Diego
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6637; None
| null | 0 | null | null | null |
2;3;3;4
| null |
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
|
https://iclr.cc/virtual/2022/poster/6637
|
Masked Language Models;Energy-based models;Metropolis Hastings Monte Carlo;Bidirectional Sequence models
| null | 3.25 | null |
https://openreview.net/forum?id=6PvWo1kEvlT
|
iclr
| 0.493742 | 0.916949 | null |
main
| 6.25 |
3;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6637
|
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
| null | null | 3.75 | 4.25 |
Poster
|
4;4;4;5
|
3;3;4;3
|
null |
The University of Hong Kong; SenseTime Research and Tetras.AI; The University of Sydney
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/6943; None
| null | 0 | null | null | null |
2;3;3
| null |
Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang
|
https://iclr.cc/virtual/2022/poster/6943
|
Keypoint Localization;Semi-Supervised Learning;Curriculum Learning
| null | 2.666667 | null |
https://openreview.net/forum?id=6Q52pZ-Th7N
|
iclr
| 0.188982 | 0.188982 | null |
main
| 6.333333 |
5;6;8
|
4;3;4
|
https://iclr.cc/virtual/2022/poster/6943
|
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
| null | null | 3.666667 | 3.666667 |
Poster
|
4;3;4
|
2;3;3
|
null |
Paper under double-blind review
|
2022
| 0 | null | null | 0 | null | null | null | null | null | null | null | null | null | 0 | null | null |
iclr
| 0 | 0 | null |
main
| 0 | null | null | null |
Human imperceptible attacks and applications to improve fairness
| null | null | 0 | 0 |
Desk Reject
| null | null |
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
hierarchical temporal latent variable models;generative speech modelling;variational autoencoder
| null | 2.333333 | null | null |
iclr
| -0.755929 | 0.944911 | null |
main
| 4.666667 |
3;5;6
|
2;4;4
| null |
Towards Generative Latent Variable Models for Speech
| null | null | 3.333333 | 3.666667 |
Reject
|
4;4;3
|
2;2;3
|
null |
Department of Computer Science, Rutgers University
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6744; None
| null | 0 | null | null | null |
3;3;3
| null |
Wenjie Qiu, He Zhu
|
https://iclr.cc/virtual/2022/poster/6744
|
Reinforcement Learning;Programmatic Reinforcement Learning;Compositional Reinforcement Learning;Program Synthesis;Differentiable Architecture Search
| null | 3.333333 | null |
https://openreview.net/forum?id=6Tk2noBdvxt
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;4;3
|
https://iclr.cc/virtual/2022/poster/6744
|
Programmatic Reinforcement Learning without Oracles
| null | null | 3.333333 | 4.333333 |
Spotlight
|
5;4;4
|
3;3;4
|
null |
Yale University; Pennsylvania State University
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6516; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Weiqi Peng, Jinghui Chen
|
https://iclr.cc/virtual/2022/poster/6516
| null | null | 2.75 | null |
https://openreview.net/forum?id=6VpeS27viTq
|
iclr
| 0.57735 | 0 | null |
main
| 7.5 |
6;8;8;8
|
4;4;4;4
|
https://iclr.cc/virtual/2022/poster/6516
|
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
| null | null | 4 | 3.5 |
Poster
|
3;4;4;3
|
2;3;3;3
|
null |
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/7099; None
| null | 0 | null | null | null |
4;3;3
| null |
Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M Pauly, Morteza Mardani, Mert Pilanci
|
https://iclr.cc/virtual/2022/poster/7099
|
batch normalization;ReLU networks;deep networks;convex optimization;whitening;implicit regularization;algorithmic bias
| null | 3.333333 | null |
https://openreview.net/forum?id=6XGgutacQ0B
|
iclr
| 0.5 | 0.866025 | null |
main
| 5.666667 |
5;6;6
|
2;3;4
|
https://iclr.cc/virtual/2022/poster/7099
|
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
| null | null | 3 | 3.333333 |
Poster
|
3;3;4
|
4;3;3
|
null |
School of Data Science, The Chinese University of Hong Kong (Shenzhen), China; Shenzhen Research Institute of Big Data, China
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6972; None
| null | 0 | null | null | null |
3;3;4;3
| null |
Jicong Fan
|
https://iclr.cc/virtual/2022/poster/6972
| null | null | 2.75 | null |
https://openreview.net/forum?id=6YVIk0sAkF_
|
iclr
| -0.927173 | -0.688247 | null |
main
| 6.25 |
5;6;6;8
|
4;3;4;3
|
https://iclr.cc/virtual/2022/poster/6972
|
Multi-Mode Deep Matrix and Tensor Factorization
| null | null | 3.5 | 3.5 |
Poster
|
4;4;4;2
|
2;2;4;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;3;1
| null | null | null |
Divergence estimation;Variational formulas;Variance reduction;Representation learning
| null | 2.25 | null | null |
iclr
| -1 | 0 | null |
main
| 5.5 |
3;3;8;8
|
2;3;4;1
| null |
A Variance Reduction Method for Neural-based Divergence Estimation
| null | null | 2.5 | 3.5 |
Reject
|
4;4;3;3
|
2;2;3;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
Molecule Generation;Controllable Molecule Generation;Interpretable Molecule Generation;Molecule Manipulation
| null | 1.75 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
3;3;2;2
| null |
Interpreting Molecule Generative Models for Interactive Molecule Discovery
| null | null | 2.5 | 4.25 |
Reject
|
4;5;4;4
|
2;2;2;1
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Model-Based Reinforcement Learning;Safety-Aware Reinforcement Learning;Shielding;World Models
| null | 2.5 | null | null |
iclr
| -0.57735 | 0.816497 | null |
main
| 5.75 |
5;5;5;8
|
3;3;2;4
| null |
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding
| null | null | 3 | 3.5 |
Reject
|
4;3;4;3
|
3;2;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
attention;language model;machine translation;deep learning
| null | 2 | null | null |
iclr
| 0.57735 | 0.333333 | null |
main
| 3.5 |
3;3;3;5
|
3;3;2;3
| null |
Crossformer: Transformer with Alternated Cross-Layer Guidance
| null | null | 2.75 | 3.5 |
Withdraw
|
3;4;3;4
|
2;2;2;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null | null | null | 2.5 | null | null |
iclr
| 0.058026 | 0.272166 | null |
main
| 4.25 |
3;3;5;6
|
3;3;2;4
| null |
Unified Recurrence Modeling for Video Action Anticipation
| null | null | 3 | 3.75 |
Reject
|
3;4;5;3
|
2;3;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;3;3
| null | null | null |
Contrastive learning;quantization
| null | 2.75 | null | null |
iclr
| -0.57735 | 0.816497 | null |
main
| 4.5 |
3;5;5;5
|
2;3;3;4
| null |
Contrastive Quant: Quantization Makes Stronger Contrastive Learning
| null | null | 3 | 4.5 |
Withdraw
|
5;5;4;4
|
2;2;3;4
|
null |
Computer Science and Software Engineering, Penn State Erie; Department of Computer Science and Engineering, University at Buffalo
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6124; None
| null | 0 | null | null | null |
2;3;2;4
| null |
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
|
https://iclr.cc/virtual/2022/poster/6124
|
Few-shot Learning;Computational Geometry;Dirichlet Tessellation;Voronoi Diagram;Ensemble Learning
| null | 3 | null |
https://openreview.net/forum?id=6kCiVaoQdx9
|
iclr
| 0.258199 | 0.57735 | null |
main
| 6.5 |
6;6;6;8
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6124
|
Few-shot Learning via Dirichlet Tessellation Ensemble
| null | null | 3.5 | 3.5 |
Poster
|
3;5;2;4
|
3;3;2;4
|
null | null |
2022
| 1.25 | null | null | 0 | null | null | null |
1;1;1;2
| null | null | null |
C+1 loss;classes of interest;background class
| null | 1.75 | null | null |
iclr
| -0.70014 | 0.594089 | null |
main
| 3.25 |
1;3;3;6
|
3;2;3;4
| null |
C+1 Loss: Learn to Classify C Classes of Interest and the Background Class Differentially
| null | null | 3 | 4.5 |
Reject
|
5;4;5;4
|
1;1;2;3
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null |
brain-inspired computing;multi-modal neural network;audio-visual speech recognition
| null | 1.666667 | null | null |
iclr
| -0.866025 | 0.5 | null |
main
| 3 |
1;3;5
|
1;3;2
| null |
Will a Blind Model Hear Better? Advanced Audiovisual Recognition System with Brain-Like Compensating and Gating
| null | null | 2 | 4.666667 |
Withdraw
|
5;5;4
|
1;2;2
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3
| null | null | null |
domain adaptation;source-free adaptation;unsupervised domain adaptation
| null | 2.666667 | null | null |
iclr
| 0.188982 | -0.188982 | null |
main
| 4.666667 |
3;5;6
|
3;2;3
| null |
On-Target Adaptation
| null | null | 2.666667 | 3.333333 |
Reject
|
3;4;3
|
3;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;3;3
| null | null | null |
Dateset;Downscaling;Computer Vision;Physics;Weather Forecast
| null | 2 | null | null |
iclr
| -0.96225 | 0.544331 | null |
main
| 4.25 |
3;3;5;6
|
2;3;4;3
| null |
RainNet: A Large-Scale Imagery Dataset for Spatial Precipitation Downscaling
| null | null | 3 | 4.5 |
Reject
|
5;5;4;4
|
2;3;0;3
|
null |
UC Berkeley, Google Brain; Google Brain
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6774; None
| null | 0 | null | null | null |
3;3;3
| null |
Sherry Yang, Sergey Levine, Ofir Nachum
|
https://iclr.cc/virtual/2022/poster/6774
|
Imitation Learning;Action Representations;Latent Dynamics Model;Offline Datasets
| null | 2.666667 | null |
https://openreview.net/forum?id=6q_2b6u0BnJ
|
iclr
| 0 | -0.5 | null |
main
| 6.666667 |
6;6;8
|
4;3;3
|
https://iclr.cc/virtual/2022/poster/6774
|
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
| null | null | 3.333333 | 3 |
Poster
|
3;3;3
|
3;2;3
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
1;2;2
| null | null | null | null | null | 1.666667 | null | null |
iclr
| -0.5 | 1 | null |
main
| 3.666667 |
3;3;5
|
1;1;3
| null |
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
|
http://anonymous
| null | 1.666667 | 4.333333 |
Withdraw
|
5;4;4
|
2;1;2
|
null |
University of Illinois Urbana-Champaign; New York University, Genentech
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6246; None
| null | 0 | null | null | null |
4;3;3;3
| null |
Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin Burke
|
https://iclr.cc/virtual/2022/poster/6246
|
molecule representation learning;graph neural networks;chemical reaction
| null | 3 | null |
https://openreview.net/forum?id=6sh3pIzKS-
|
iclr
| 0.707107 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6246
|
Chemical-Reaction-Aware Molecule Representation Learning
|
https://github.com/hwwang55/MolR
| null | 3.75 | 4 |
Poster
|
4;3;5;4
|
3;3;3;3
|
null | null |
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6990; None
| null | 0 | null | null | null |
3;2;3;3
| null |
Adeel Pervez, Efstratios Gavves
|
https://iclr.cc/virtual/2022/poster/6990
| null | null | 1.75 | null |
https://openreview.net/forum?id=6tmjoym9LR6
|
iclr
| -1 | 1 | null |
main
| 5.5 |
5;5;6;6
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6990
|
Stability Regularization for Discrete Representation Learning
| null | null | 3.5 | 3.5 |
Poster
|
4;4;3;3
|
0;2;3;2
|
null |
Robot Learning Lab, Imperial College London; Dyson Robotics Lab, Imperial College London
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6375; None
| null | 0 | null | null | null |
2;3;3;2
| null |
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew Davison
|
https://iclr.cc/virtual/2022/poster/6375
|
semi-supervised learning;semantic segmentation;contrastive learning
| null | 3 | null |
https://openreview.net/forum?id=6u6N8WWwYSM
|
iclr
| 0 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
4;3;4;4
|
https://iclr.cc/virtual/2022/poster/6375
|
Bootstrapping Semantic Segmentation with Regional Contrast
| null | null | 3.75 | 4 |
Poster
|
4;4;5;3
|
3;3;3;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;2;2
| null | null | null |
GANs;Image Generation;Deep Learning;Image Synthesis;Generative Models
| null | 2 | null | null |
iclr
| -0.57735 | 0 | null |
main
| 4.5 |
3;5;5;5
|
3;3;3;3
| null |
Generating Novel Scene Compositions from Single Images and Videos
| null | null | 3 | 4.5 |
Reject
|
5;5;4;4
|
2;2;2;2
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
2;4;3;3
| null | null | null | null | null | 2.25 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3;3
|
2;4;3;2
| null |
Synaptic Diversity in ANNs Can Facilitate Faster Learning
| null | null | 2.75 | 4 |
Withdraw
|
5;4;3;4
|
1;3;3;2
|
null |
Department of Computer Science & Engineering, The Ohio State University, Columbus, OH 43210, USA
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6407; None
| null | 0 | null | null | null |
3;3;3
| null |
Ju-Seung Byun, Andrew Perrault
|
https://iclr.cc/virtual/2022/poster/6407
|
Reinforcement Learning;Hierarchical Reinforcement Learning;Inverse Reinforcement Learning
| null | 2.666667 | null |
https://openreview.net/forum?id=6vkzF28Hur8
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/6407
|
Training Transition Policies via Distribution Matching for Complex Tasks
| null | null | 4 | 2.333333 |
Poster
|
2;2;3
|
3;3;2
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
2;2;3;4;4
| null | null | null |
Symbolic Regression;Reinforcement Learning;Convolutional Neural Networks;Interpretability
| null | 2.8 | null | null |
iclr
| 0 | 0.922531 | null |
main
| 5.2 |
3;3;6;6;8
|
2;2;4;3;4
| null |
Reasoning With Hierarchical Symbols: Reclaiming Symbolic Policies For Visual Reinforcement Learning
| null | null | 3 | 4 |
Reject
|
4;4;4;4;4
|
2;2;2;4;4
|
null |
School of Computer Science, University of Waterloo, National Research Council; School of Computer Science, University of Waterloo, Vector Institute
|
2022
| 2.25 |
https://iclr.cc/virtual/2022/poster/6013; None
| null | 0 | null | null | null |
3;2;3;1
| null |
Dihong Jiang, Sun Sun, Yaoliang Yu
|
https://iclr.cc/virtual/2022/poster/6013
|
flow models;out-of-distribution detection;random projection;distribution comparison
| null | 2.5 | null |
https://openreview.net/forum?id=6y2KBh-0Fd9
|
iclr
| -0.333333 | -0.333333 | null |
main
| 7.5 |
6;8;8;8
|
4;4;3;4
|
https://iclr.cc/virtual/2022/poster/6013
|
Revisiting flow generative models for Out-of-distribution detection
| null | null | 3.75 | 3.75 |
Poster
|
4;4;3;4
|
3;3;2;2
|
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