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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null |
Huawei Technologies, Shenzhen, China; Huawei Technologies, London, UK
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6641; None
| null | 0 | null | null | null |
4;3;3;3
| null |
Alex Zakharov, Qinghai Guo, Zafeirios Fountas
|
https://iclr.cc/virtual/2022/poster/6641
|
Hierarchical temporal abstraction;event discovery;hierarchical generative models;variational inference
| null | 2.25 | null |
https://openreview.net/forum?id=JxFgJbZ-wft
|
iclr
| -0.522233 | 0.333333 | null |
main
| 6.5 |
6;6;6;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6641
|
Variational Predictive Routing with Nested Subjective Timescales
| null | null | 3.75 | 3.75 |
Poster
|
4;3;5;3
|
0;3;3;3
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;3;2
| null | null | null |
Contrastive Learning;Self-Supervised Learning;Color Features;Illuminant Invariance
| null | 2.333333 | null | null |
iclr
| -0.188982 | 0.866025 | null |
main
| 5.666667 |
5;6;6
|
2;3;4
| null |
Planckian jitter: enhancing the color quality of self-supervised visual representations
| null | null | 3 | 3.666667 |
Reject
|
4;2;5
|
2;2;3
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3;3
| null | null | null |
Model Explainability;Graph Neural Networks;Structural Casual Model
| null | 2.75 | null | null |
iclr
| 0 | 0.57735 | null |
main
| 4.5 |
3;3;6;6
|
3;2;3;3
| null |
Interpreting Graph Neural Networks via Unrevealed Causal Learning
| null | null | 2.75 | 3.5 |
Withdraw
|
3;4;4;3
|
2;3;3;3
|
null |
New York University Shanghai
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6619; None
| null | 0 | null | null | null |
2;2;4;4
| null |
Che Wang, Shuhan Yuan, Kai Shao, Keith Ross
|
https://iclr.cc/virtual/2022/poster/6619
|
reinforcement learning;convergence of reinforcement learning algorithm;monte carlo exploring starts
| null | 2.25 | null |
https://openreview.net/forum?id=JzNB0eA2-M4
|
iclr
| -0.57735 | 0 | null |
main
| 6.5 |
5;5;8;8
|
4;3;3;4
|
https://iclr.cc/virtual/2022/poster/6619
|
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
| null | null | 3.5 | 3.75 |
Poster
|
4;4;3;4
|
2;2;2;3
|
null | null |
2022
| 1.8 | null | null | 0 | null | null | null |
2;2;1;2;2
| null | null | null |
Active Learning;Deep Learning;FOL;Multi-label classification;Object-detection
| null | 2 | null | null |
iclr
| -0.612372 | 1 | null |
main
| 3.4 |
3;3;3;3;5
|
3;3;3;3;4
| null |
Knowledge-driven Active Learning
| null | null | 3.2 | 3.6 |
Withdraw
|
3;4;4;4;3
|
2;2;2;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;1;3
| null | null | null |
video prediction;autoregressive models
| null | 2.2 | null | null |
iclr
| 0 | 0.102062 |
https://sites.google.com/view/harp-anonymous
|
main
| 3.8 |
3;3;3;5;5
|
2;4;4;4;3
| null |
Autoregressive Latent Video Prediction with High-Fidelity Image Generator
| null | null | 3.4 | 4 |
Reject
|
4;4;4;4;4
|
2;2;2;2;3
|
null | null |
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6291; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick
|
https://iclr.cc/virtual/2022/poster/6291
|
Pre-trained models;BERT;bootstrapping;hypothesis testing;robustness
| null | 3.5 | null |
https://openreview.net/forum?id=K0E_F0gFDgA
|
iclr
| 0.707107 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
3;4;4;4
|
https://iclr.cc/virtual/2022/poster/6291
|
The MultiBERTs: BERT Reproductions for Robustness Analysis
| null | null | 3.75 | 3 |
Spotlight
|
3;2;4;3
|
2;4;4;4
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Fine-grained representation learning;Re-identification;Pooling operation
| null | 2.25 | null | null |
iclr
| -0.760886 | 0.132453 | null |
main
| 4.75 |
3;5;5;6
|
3;3;4;3
| null |
Adaptive Region Pooling for Fine-Grained Representation Learning
| null | null | 3.25 | 4.25 |
Reject
|
5;4;5;3
|
2;2;2;3
|
null |
Carnegie Mellon University; UC Berkeley
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6882; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E Gonzalez
|
https://iclr.cc/virtual/2022/poster/6882
|
reinforcement learning;planning;variational inference;curriculum learning;waypoints;subgoals
| null | 2.75 | null |
https://openreview.net/forum?id=K2JfSnLBD9
|
iclr
| 0.57735 | 0.57735 | null |
main
| 7 |
6;6;8;8
|
3;3;3;4
|
https://iclr.cc/virtual/2022/poster/6882
|
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
| null | null | 3.25 | 4.25 |
Poster
|
4;4;4;5
|
2;3;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Deep Generative Models;Knowledge-intergrated Neural Networks;Physical Scene Generation
| null | 2.75 | null | null |
iclr
| -0.57735 | 0.57735 | null |
main
| 5.5 |
5;5;6;6
|
3;2;3;3
| null |
Semantically Controllable Generation of Physical Scenes with Explicit Knowledge
| null | null | 2.75 | 2.5 |
Reject
|
2;4;2;2
|
2;2;3;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;3
| null | null | null |
deepfakes;video forgery detection;high-frequency;texture;optical flow;EfficientNet;Swin Transformer
| null | 2.25 | null | null |
iclr
| -0.57735 | 0.816497 | null |
main
| 4.25 |
3;3;3;8
|
2;3;3;4
| null |
Video Forgery Detection Using Multiple Cues on Fusion of EfficientNet and Swin Transformer
| null | null | 3 | 4.5 |
Reject
|
5;5;4;4
|
2;2;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;4;2;3
| null | null | null |
causal representation learning;disentanglement;autoencoders
| null | 2.75 | null | null |
iclr
| -0.058026 | 0 | null |
main
| 4.25 |
3;3;5;6
|
3;3;3;3
| null |
On the interventional consistency of autoencoders
| null | null | 3 | 3.25 |
Reject
|
4;3;2;4
|
2;4;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
1;4;3;3
| null | null | null |
language models;controllable text generation;text detoxification
| null | 2.75 | null | null |
iclr
| 0.688247 | 0 | null |
main
| 4.75 |
3;5;5;6
|
3;3;3;3
| null |
A Step-Wise Weighting Approach for Controllable Text Generation
| null | null | 3 | 3.5 |
Withdraw
|
3;4;3;4
|
1;4;3;3
|
null | null |
2022
| 1.25 | null | null | 0 | null | null | null |
1;1;1;2
| null | null | null | null | null | 0.75 | null | null |
iclr
| -0.301511 | 0.57735 | null |
main
| 2 |
1;1;3;3
|
3;2;3;3
| null |
DMSANET: DUAL MULTI SCALE ATTENTION NETWORK
| null | null | 2.75 | 4.25 |
Reject
|
5;4;5;3
|
0;0;1;2
|
null |
Department of Computer Science, Stanford University
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/6695; None
| null | 0 | null | null | null |
3;4;3
| null |
Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon
|
https://iclr.cc/virtual/2022/poster/6695
|
probability divergence;two sample test;generative model
| null | 3.333333 | null |
https://openreview.net/forum?id=KB5onONJIAU
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;4;4
|
https://iclr.cc/virtual/2022/poster/6695
|
Comparing Distributions by Measuring Differences that Affect Decision Making
| null | null | 3.666667 | 3 |
Oral
|
3;3;3
|
3;3;4
|
null |
The Swiss AI Lab, IDSIA, University of Lugano (USI) & SUPSI, Lugano, Switzerland; The Swiss AI Lab, IDSIA, University of Lugano (USI) & SUPSI, Lugano, Switzerland and King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/6053; None
| null | 0 | null | null | null |
3;4;3
| null |
Robert Csordas, Kazuki Irie, Jürgen Schmidhuber
|
https://iclr.cc/virtual/2022/poster/6053
|
transformer;compositionality;systematic generalization;algorithmic reasoning;arithmetic
| null | 3 | null |
https://openreview.net/forum?id=KBQP4A_J1K
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;4;3
|
https://iclr.cc/virtual/2022/poster/6053
|
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
|
https://github.com/robertcsordas/ndr
| null | 3.333333 | 4 |
Poster
|
4;4;4
|
2;4;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null | null | null | 2 | null | null |
iclr
| -0.866025 | -0.755929 | null |
main
| 3.666667 |
3;3;5
|
2;4;1
| null |
Bayesian Exploration for Lifelong Reinforcement Learning
| null | null | 2.333333 | 3 |
Reject
|
3;4;2
|
2;2;2
|
null | null |
2022
| 1.8 | null | null | 0 | null | null | null |
1;2;2;2;2
| null | null | null |
Deep Reinforcement Learning
| null | 2 | null | null |
iclr
| -0.25 | 0.272166 | null |
main
| 4.4 |
3;3;5;5;6
|
3;2;2;3;3
| null |
Human-Level Control without Server-Grade Hardware
| null | null | 2.6 | 3.8 |
Reject
|
4;4;4;3;4
|
2;2;2;2;2
|
null |
SenseTime Research; University of Hong Kong; ByteDance Inc.; Baidu; Gaoling School of Artificial Intelligence, Renmin University of China
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/6377; None
| null | 0 | null | null | null |
3;4;3
| null |
Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
|
https://iclr.cc/virtual/2022/poster/6377
|
Multitask NAS;Task-Transferable Architecture;Neural Predictor;NAS Benchmark
| null | 3.333333 | null |
https://openreview.net/forum?id=KEQl-MZ5fg7
|
iclr
| -0.944911 | 0 |
https://network-propagation.github.io
|
main
| 6.666667 |
6;6;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/6377
|
Learning Versatile Neural Architectures by Propagating Network Codes
|
github.com/dingmyu/NCP1
| null | 4 | 3.666667 |
Poster
|
4;5;2
|
3;3;4
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;2;3
| null | null | null |
Efficient Training Methods;Large Batch Optimization;Transformer Networks;BERT
| null | 2.666667 | null | null |
iclr
| 0.5 | 1 | null |
main
| 5.666667 |
5;6;6
|
3;4;4
| null |
ScaLA: Speeding-Up Fine-tuning of Pre-trained Transformer Networks via Efficient and Scalable Adversarial Perturbation
| null | null | 3.666667 | 3.333333 |
Reject
|
3;3;4
|
2;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;3
| null | null | null |
Transfer Learning;Robustness;Verification
| null | 2.25 | null | null |
iclr
| -0.628539 | 0 | null |
main
| 4.25 |
3;3;5;6
|
4;2;3;3
| null |
Provably Robust Transfer
| null | null | 3 | 3 |
Withdraw
|
4;3;4;1
|
1;3;2;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;3;2;4
| null | null | null |
Compositional Value-learning;Noise Robustness;Data-efficient Reinforcement Learning;Off-policy Learning;Model-free Reinforcement Learning
| null | 2.5 | null | null |
iclr
| -0.333333 | 0.333333 | null |
main
| 5.75 |
5;5;5;8
|
3;3;2;3
| null |
Robust and Data-efficient Q-learning by Composite Value-estimation
| null | null | 2.75 | 3.25 |
Withdraw
|
3;3;4;3
|
2;3;2;3
|
null |
University of Illinois Urbana-Champaign, USA; Amazon, USA; University of California, Los Angeles, USA
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/7187; None
| null | 0 | null | null | null |
4;3;3
| null |
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit Dhillon
|
https://iclr.cc/virtual/2022/poster/7187
|
Self-supervised learning;Graph Neural Networks;Extreme multi-label classification
| null | 3 | null |
https://openreview.net/forum?id=KJggliHbs8
|
iclr
| -1 | 0.755929 | null |
main
| 6.666667 |
6;6;8
|
3;1;4
|
https://iclr.cc/virtual/2022/poster/7187
|
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
|
https://github.com/amzn/pecos/tree/mainline/examples/giant-xrt
| null | 2.666667 | 3.666667 |
Poster
|
4;4;3
|
3;3;3
|
null |
Tencent Robotics X; Tsinghua University; King’s College London; University of Cambridge; Eindhoven University of Technology
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/6583; None
| null | 0 | null | null | null |
3;2;3
| null |
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
|
https://iclr.cc/virtual/2022/poster/6583
|
Goal-conditioned reinforcement learning;offline reinforcement learning;goal-conditioned supervised learning
| null | 3 | null |
https://openreview.net/forum?id=KJztlfGPdwW
|
iclr
| 0 | 0.981981 | null |
main
| 6.333333 |
5;6;8
|
2;3;4
|
https://iclr.cc/virtual/2022/poster/6583
|
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
| null | null | 3 | 3 |
Poster
|
3;3;3
|
3;3;3
|
null | null |
2022
| 3.5 | null | null | 0 | null | null | null |
3;4;4;3
| null | null | null |
End-to-end learning;Entropy Balancing;Continuous Treatments
| null | 2.5 | null | null |
iclr
| -0.493742 | 0.855186 | null |
main
| 6.25 |
3;6;8;8
|
3;3;4;4
| null |
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
| null | null | 3.5 | 3.75 |
Reject
|
4;4;4;3
|
2;1;4;3
|
null |
Department of Computer Science, University of California, Santa Barbara; Department of Electrical and Computer Engineering, Princeton University
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6643; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang
|
https://iclr.cc/virtual/2022/poster/6643
|
reinforcement learning theory;markov decision process theory
| null | 1.25 | null |
https://openreview.net/forum?id=KLaDXLAzzFT
|
iclr
| 0.4842 | 0.760886 | null |
main
| 6.25 |
5;6;6;8
|
2;3;4;4
|
https://iclr.cc/virtual/2022/poster/6643
|
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
| null | null | 3.25 | 3.25 |
Poster
|
3;2;4;4
|
2;0;3;0
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
Rule generation;linear programming;interpretability
| null | 1.666667 | null | null |
iclr
| 0.5 | 0.5 | null |
main
| 4 |
3;3;6
|
2;3;3
| null |
Discovering Classification Rules for Interpretable Learning with Linear Programming
| null | null | 2.666667 | 2.666667 |
Reject
|
3;2;3
|
1;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;2;3
| null | null | null |
robustness;neural networks;deep learning
| null | 2 | null | null |
iclr
| 0.870388 | 0.816497 | null |
main
| 4.5 |
3;5;5;5
|
2;3;4;3
| null |
Efficient Certification for Probabilistic Robustness
| null | null | 3 | 3.25 |
Reject
|
2;4;4;3
|
2;2;2;2
|
null |
School of Computing, University of Leeds; School of Informatics, University of Edinburgh; Peking University
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7205; None
| null | 0 | null | null | null |
3;2;4;3;3;3
| null |
Deshan Gong, Zhanxing Zhu, Andrew Bulpitt, He Wang
|
https://iclr.cc/virtual/2022/poster/7205
| null | null | 3 | null |
https://openreview.net/forum?id=KPEFXR1HdIo
|
iclr
| 0.4 | -0.447214 | null |
main
| 6.333333 |
6;6;6;6;6;8
|
3;4;3;4;4;3
|
https://iclr.cc/virtual/2022/poster/7205
|
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics
|
https://github.com/realcrane/Fine-grained-Differentiable-Physics-A-Yarn-level-Model-for-Fabrics.git
| null | 3.5 | 3.333333 |
Poster
|
4;3;4;2;3;4
|
3;2;3;3;3;4
|
null |
Agents, Interaction and Complexity Group, Department of Electronics and Computer Science, University of Southampton
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6786; None
| null | 0 | null | null | null |
2;3;2;3
| null |
Joseph Early, Christine Evers, Sarvapali Ramchurn
|
https://iclr.cc/virtual/2022/poster/6786
|
multiple instance learning;interpretability;model-agnostic
| null | 2.5 | null |
https://openreview.net/forum?id=KSSfF5lMIAg
|
iclr
| -0.555556 | 0 | null |
main
| 5.25 |
5;5;5;6
|
2;3;4;3
|
https://iclr.cc/virtual/2022/poster/6786
|
Model Agnostic Interpretability for Multiple Instance Learning
|
https://github.com/JAEarly/MILLI
| null | 3 | 3.25 |
Poster
|
5;4;2;2
|
3;3;2;2
|
null |
Charit ´e Berlin; University of Freiburg; University of Freiburg, Bosch Center for Artificial Intelligence
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/6595; None
| null | 0 | null | null | null |
3;2;3
| null |
Samuel Müller, Noah Hollmann, Sebastian Pineda Arango, Josif Grabocka, Frank Hutter
|
https://iclr.cc/virtual/2022/poster/6595
| null | null | 3.333333 | null |
https://openreview.net/forum?id=KSugKcbNf9
|
iclr
| -0.755929 | 0 | null |
main
| 6.333333 |
5;6;8
|
3;3;3
|
https://iclr.cc/virtual/2022/poster/6595
|
Transformers Can Do Bayesian Inference
|
https://github.com/automl/TransformersCanDoBayesianInference
| null | 3 | 4.333333 |
Poster
|
5;4;4
|
3;4;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;2;3
| null |
Put All Your Authors Here, Separated by Commas
| null |
Multi-bacth;batch reinfrocement learning;sample transfer
| null | 2.25 | null | null |
iclr
| 0 | 0.333333 | null |
main
| 3.5 |
3;3;3;5
|
3;3;2;3
| null |
Multi-batch Reinforcement Learning via Sample Transfer and Imitation Learning
| null | null | 2.75 | 4 |
Reject
|
5;3;4;4
|
2;2;2;3
|
null |
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6881; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Jiayi Li, Tao Lu, Xiaoge Cao, Yinghao Cai, Shuo Wang
|
https://iclr.cc/virtual/2022/poster/6881
|
Meta-imitation Learning;One-shot Learning;Learning by Watching;Generative Adversarial Networks
| null | 2 | null |
https://openreview.net/forum?id=KTPuIsx4pmo
|
iclr
| -0.57735 | -0.333333 | null |
main
| 7.5 |
6;8;8;8
|
4;4;3;4
|
https://iclr.cc/virtual/2022/poster/6881
|
Meta-Imitation Learning by Watching Video Demonstrations
| null | null | 3.75 | 3.5 |
Poster
|
4;3;3;4
|
2;0;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null |
reinforcement learning;deep learning
| null | 2 | null | null |
iclr
| 0 | 0.904534 | null |
main
| 4 |
3;3;5;5
|
2;3;4;4
| null |
Particle Based Stochastic Policy Optimization
| null | null | 3.25 | 3.5 |
Reject
|
3;4;4;3
|
0;3;3;2
|
null | null |
2022
| 1.666667 | null | null | 0 | null | null | null |
2;1;2
| null | null | null |
ImageNet;Privacy;Face Obfuscation
| null | 2.333333 | null | null |
iclr
| -0.866025 | 0 | null |
main
| 5.333333 |
5;5;6
|
4;4;4
| null |
A Study of Face Obfuscation in ImageNet
| null | null | 4 | 4 |
Reject
|
5;4;3
|
2;2;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null |
Lifelong Learning;Continual Learning;Catastrophic forgetting
| null | 2.5 | null | null |
iclr
| 0.333333 | 0.522233 | null |
main
| 5.75 |
5;5;5;8
|
4;2;3;4
| null |
TAG: Task-based Accumulated Gradients for Lifelong learning
| null | null | 3.25 | 3.75 |
Reject
|
4;4;3;4
|
3;2;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;3;1;3
| null | null | null |
adversarial robustness;non-robust feature;transfer learning;pre-training
| null | 2.5 | null | null |
iclr
| -0.57735 | -0.333333 | null |
main
| 4.5 |
3;5;5;5
|
3;3;2;3
| null |
Pre-training also Transfers Non-robustness
| null | null | 2.75 | 3.5 |
Withdraw
|
4;3;3;4
|
2;3;3;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null |
Multi-agent Learning;empirical game-theoretic analysis;policy space response oracle
| null | 2.5 | null | null |
iclr
| -0.57735 | 1 | null |
main
| 4 |
3;3;5;5
|
2;2;3;3
| null |
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis
| null | null | 2.5 | 3.75 |
Withdraw
|
4;4;4;3
|
2;2;3;3
|
null | null |
2022
| 2.666667 | null | null | 0 | null | null | null |
3;2;3
| null | null | null |
Text-based games;Deep reinforcement learning;Generalization
| null | 1.666667 | null | null |
iclr
| 0 | 0 | null |
main
| 5 |
5;5;5
|
2;2;4
| null |
Goal Randomization for Playing Text-based Games without a Reward Function
| null | null | 2.666667 | 4 |
Reject
|
4;4;4
|
2;0;3
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;2;2;2
| null | null | null | null | null | 2.75 | null | null |
iclr
| 0 | 1 | null |
main
| 5.75 |
5;5;5;8
|
3;3;3;4
| null |
Representation Disentanglement in Generative Models with Contrastive Learning
| null | null | 3.25 | 3 |
Reject
|
3;2;4;3
|
3;2;3;3
|
null |
MPI MiS; UCLA & MPI MiS; UCLA
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6668; None
| null | 0 | null | null | null |
2;3;2;3
| null |
Hui Jin, Pradeep Kumar Banerjee, Guido Montufar
|
https://iclr.cc/virtual/2022/poster/6668
|
Gaussian process regression;kernel ridge regression;generalization error;power law;neural tangent kernel
| null | 1.75 | null |
https://openreview.net/forum?id=KeI9E-gsoB
|
iclr
| -0.174078 | -0.333333 | null |
main
| 6.5 |
6;6;6;8
|
3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6668
|
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
| null | null | 3.25 | 3.25 |
Poster
|
4;4;2;3
|
2;2;0;3
|
null |
MIT BCS, CBMM, CSAIL; MIT; UC San Diego; MIT-IBM Waston AI Lab; Carnegie Mellon University
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6554; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B Tenenbaum, David Held, Chuang Gan
|
https://iclr.cc/virtual/2022/poster/6554
|
Deformable Object Manipulation;Differentiable Physics
| null | 2.75 | null |
https://openreview.net/forum?id=Kef8cKdHWpP
|
iclr
| 0 | 0 |
https://xingyu-lin.github.io/diffskill/
|
main
| 7.5 |
6;6;8;10
|
4;4;4;4
|
https://iclr.cc/virtual/2022/poster/6554
|
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
| null | null | 4 | 3 |
Poster
|
3;3;3;3
|
3;3;3;2
|
null |
Nanyang Technological University; Chongqing University; Zhejiang University
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/7170; None
| null | 0 | null | null | null |
3;2;3;3
| null |
Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang
|
https://iclr.cc/virtual/2022/poster/7170
| null | null | 3.5 | null |
https://openreview.net/forum?id=KhLK0sHMgXK
|
iclr
| 0 | 0.904534 | null |
main
| 7 |
6;6;8;8
|
2;3;4;4
|
https://iclr.cc/virtual/2022/poster/7170
|
NASPY: Automated Extraction of Automated Machine Learning Models
| null | null | 3.25 | 3 |
Spotlight
|
4;2;3;3
|
3;3;4;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
Long Term Memory;State Estimation;Robot Learning;Object-Centric Learning
| null | 1.666667 | null | null |
iclr
| 0 | 0 | null |
main
| 3 |
3;3;3
|
4;3;3
| null |
Learning an Object-Based Memory System
| null | null | 3.333333 | 4 |
Reject
|
4;4;4
|
1;2;2
|
null | null |
2022
| 1.8 | null | null | 0 | null | null | null |
1;2;2;2;2
| null | null | null |
Graph Sparsification;Graph Neural Networks;Pruning Neural Networks
| null | 2.4 | null | null |
iclr
| 0 | 0.707107 | null |
main
| 3 |
1;3;3;3;5
|
2;4;3;2;4
| null |
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
| null | null | 3 | 4 |
Reject
|
4;4;4;4;4
|
1;3;2;2;4
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
1;1;3;3;4
| null | null | null |
Information Gain;Effective Dimension;Overparameterized Neural Networks;Neural Tangent Kernel;Random Feature Kernel;RKHS;Matérn;Uniform Error Bounds
| null | 1.4 | null | null |
iclr
| -0.949473 | 0.951662 | null |
main
| 4.4 |
1;3;6;6;6
|
2;2;4;4;4
| null |
Uniform Generalization Bounds for Overparameterized Neural Networks
| null | null | 3.2 | 3.2 |
Reject
|
5;4;3;2;2
|
0;1;4;2;0
|
null |
Under double-blind review
|
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
meta-learning;differential equation;iterative method
| null | 2.25 | null | null |
iclr
| -0.83205 | 0 | null |
main
| 5.5 |
3;5;6;8
|
3;4;4;3
| null |
Gradient-based Meta-solving and Its Applications to Iterative Methods for Solving Differential Equations
| null | null | 3.5 | 3.5 |
Reject
|
4;4;3;3
|
2;2;3;2
|
null |
Stanford University; Microsoft Research, Redmond; X, the moonshot factory
|
2022
| 2.75 |
https://iclr.cc/virtual/2022/poster/6709; None
| null | 0 | null | null | null |
2;3;3;3
| null |
Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
|
https://iclr.cc/virtual/2022/poster/6709
|
program synthesis;language models;code generation
| null | 3 | null |
https://openreview.net/forum?id=KmtVD97J43e
|
iclr
| 0.058026 | 0.96225 | null |
main
| 6.75 |
5;6;8;8
|
3;3;4;4
|
https://iclr.cc/virtual/2022/poster/6709
|
Synchromesh: Reliable Code Generation from Pre-trained Language Models
| null | null | 3.5 | 3.25 |
Poster
|
4;2;3;4
|
2;3;4;3
|
null |
Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel; School of Computer Science, Tel Aviv University, Tel Aviv, Israel; School of Medicine, Yale University, New Haven, CT, USA
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6814; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger
|
https://iclr.cc/virtual/2022/poster/6814
| null | null | 2.25 | null |
https://openreview.net/forum?id=KntaNRo6R48
|
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
3;4;3;3
|
https://iclr.cc/virtual/2022/poster/6814
|
L0-Sparse Canonical Correlation Analysis
| null | null | 3.25 | 4 |
Poster
|
4;5;4;3
|
3;0;3;3
|
null |
Paper under double-blind review
|
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
adversarial robustness;multiple norms;adversarial training;fine-tuning
| null | 2.75 | null | null |
iclr
| 0.942809 | 0.942809 | null |
main
| 5 |
3;5;6;6
|
2;3;3;3
| null |
Adversarial robustness against multiple $l_p$-threat models at the price of one and how to quickly fine-tune robust models to another threat model
| null | null | 2.75 | 4.75 |
Reject
|
4;5;5;5
|
2;2;3;4
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;2;3
| null | null | null |
reinforcement learning;memory;graph neural networks;navigation
| null | 2.333333 | null | null |
iclr
| -0.5 | -1 | null |
main
| 3.666667 |
3;3;5
|
3;3;2
| null |
Graph Convolutional Memory using Topological Priors
| null | null | 2.666667 | 4.333333 |
Withdraw
|
4;5;4
|
2;2;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;2;4
| null | null | null |
adversarial machine learning;evaluation of adversarial robustness
| null | 2.25 | null | null |
iclr
| 0 | 0.493742 | null |
main
| 4.75 |
3;3;5;8
|
2;3;3;3
| null |
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
| null | null | 2.75 | 4 |
Reject
|
4;4;4;4
|
2;2;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
Automated Machine Learning;Machine Learning Fairness;Multi-Objective Optimization;Distributed Computing
| null | 2.333333 | null | null |
iclr
| -0.866025 | 1 | null |
main
| 4.333333 |
3;5;5
|
2;3;3
| null |
Fair AutoML Through Multi-objective Optimization
| null | null | 2.666667 | 3 |
Withdraw
|
4;3;2
|
2;2;3
|
null |
Harvard University; MIT Lincoln Laboratory; University of Ljubljana
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6409; None
| null | 0 | null | null | null |
3;3;3
| null |
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
|
https://iclr.cc/virtual/2022/poster/6409
|
time seres;irregular time series;graph neural networks;attention mechanism;time series classification;multivariate time series;representation learning;embeddings
| null | 3 | null |
https://openreview.net/forum?id=Kwm8I7dU-l5
|
iclr
| 0 | 1 | null |
main
| 6 |
5;5;8
|
2;2;4
|
https://iclr.cc/virtual/2022/poster/6409
|
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
| null | null | 2.666667 | 4 |
Poster
|
3;5;4
|
3;2;4
|
null |
University of Oxford; DeepMind
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6913; None
| null | 0 | null | null | null |
3;3;3;4;2
| null |
Tim Franzmeyer, Mateusz Malinowski, Joao F. Henriques
|
https://iclr.cc/virtual/2022/poster/6913
|
reinforcement learning;altruistic behavior in AI;multi-agent systems
| null | 3.2 | null |
https://openreview.net/forum?id=KxbhdyiPHE
|
iclr
| -0.666667 | 0.612372 | null |
main
| 6.8 |
6;6;6;8;8
|
3;3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6913
|
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
| null | null | 3.2 | 3.4 |
Spotlight
|
4;4;3;3;3
|
3;3;3;4;3
|
null |
College of Computing, Georgia Institute of Technology
|
2022
| 3.666667 |
https://iclr.cc/virtual/2022/poster/6343; None
| null | 0 | null | null | null |
3;4;4
| null |
Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
|
https://iclr.cc/virtual/2022/poster/6343
|
Epidemic Forecasting;Data revisions;Graph Representation learning;Time Series Forecasting
| null | 3.666667 | null |
https://openreview.net/forum?id=L01Nn_VJ9i
|
iclr
| 0 | 0 | null |
main
| 7.333333 |
6;8;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/6343
|
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
| null | null | 4 | 4 |
Poster
|
4;4;4
|
3;4;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;1;2;3;2
| null | null | null |
flatness;Bayesian learning;generalization theory
| null | 2.6 | null | null |
iclr
| -0.748455 | 0 | null |
main
| 4.4 |
3;3;5;5;6
|
2;4;3;3;3
| null |
WHY FLATNESS DOES AND DOES NOT CORRELATE WITH GENERALIZATION FOR DEEP NEURAL NETWORKS
| null | null | 3 | 3.6 |
Reject
|
4;4;3;4;3
|
2;2;3;3;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;2;3;4
| null | null | null |
reward learning;Gaussian process bandits;nonparametric learning;reproducing kernel Hilbert spaces
| null | 1.75 | null | null |
iclr
| -0.301511 | 0 | null |
main
| 5.5 |
5;5;6;6
|
4;4;4;4
| null |
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
| null | null | 4 | 3.25 |
Reject
|
3;4;4;2
|
1;2;0;4
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;1;4
| null | null | null |
Mathematics;Transformers;Computation;Numerical;Linear algebra
| null | 2.75 | null | null |
iclr
| 0 | 0.471405 | null |
main
| 6 |
5;5;6;8
|
3;4;4;4
| null |
Linear algebra with transformers
| null | null | 3.75 | 4 |
Reject
|
4;4;4;4
|
2;2;3;4
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;2;3;3
| null | null | null | null | null | 2.5 | null | null |
iclr
| -1 | 0.57735 | null |
main
| 5.5 |
5;5;6;6
|
3;3;3;4
| null |
Second-Order Rewards For Successor Features
| null | null | 3.25 | 3.5 |
Reject
|
4;4;3;3
|
2;2;3;3
|
null |
Microsoft Research Asia; TKLNDST, CS, Nankai Univerisy; Peking University; Baidu Inc.
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6438; None
| null | 0 | null | null | null |
3;3;3
| null |
Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang
|
https://iclr.cc/virtual/2022/poster/6438
|
local attention;depth-wise convolution;dynamic depth-wise convolution;weight sharing;dynamic weight
| null | 3 | null |
https://openreview.net/forum?id=L3_SsSNMmy
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;3;4
|
https://iclr.cc/virtual/2022/poster/6438
|
On the Connection between Local Attention and Dynamic Depth-wise Convolution
|
https://github.com/Atten4Vis/DemystifyLocalViT
| null | 3.333333 | 4.333333 |
Spotlight
|
4;5;4
|
3;3;3
|
null |
Tencent AI Lab, Shenzhen, China; Tencent AI Lab, Bellevue WA, USA
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6010; None
| null | 0 | null | null | null |
3;3;3
| null |
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
|
https://iclr.cc/virtual/2022/poster/6010
|
Speech Synthesis;Vocoder;Generative Model;Diffusion Model
| null | 2.666667 | null |
https://openreview.net/forum?id=L7wzpQttNO
|
iclr
| -0.866025 | -0.5 | null |
main
| 6.666667 |
6;6;8
|
3;4;3
|
https://iclr.cc/virtual/2022/poster/6010
|
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
|
https://github.com/tencent-ailab/bddm
| null | 3.333333 | 3 |
Poster
|
4;3;2
|
3;3;2
|
null |
Under double-blind review
|
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Graph Neural Networks;Heterophily;Filterbank;Adaptive Channel Mixing
| null | 3 | null | null |
iclr
| 0.544331 | 0.994937 | null |
main
| 6 |
3;5;8;8
|
2;3;4;4
| null |
Is Heterophily A Real Nightmare For Graph Neural Networks on Performing Node Classification?
| null | null | 3.25 | 3.25 |
Reject
|
3;3;3;4
|
2;3;3;4
|
null | null |
2022
| 3 |
https://iclr.cc/virtual/2022/poster/7185; None
| null | 0 | null | null | null |
3;3;3;3
| null |
Carles Domingo i Enrich, Youssef Mroueh
|
https://iclr.cc/virtual/2022/poster/7185
|
neural network;two-layer;infinite-width;approximation;sparse;Radon transform;Fourier transform;ReLU
| null | 0.75 | null |
https://openreview.net/forum?id=LBvk4QWIUpm
|
iclr
| 0 | 0 | null |
main
| 6.5 |
6;6;6;8
|
4;4;4;4
|
https://iclr.cc/virtual/2022/poster/7185
|
Tighter Sparse Approximation Bounds for ReLU Neural Networks
| null | null | 4 | 3 |
Spotlight
|
4;2;3;3
|
3;0;0;0
|
null |
National Yang Ming Chiao Tung University, Taiwan; IBM Research
|
2022
| 2.666667 |
https://iclr.cc/virtual/2022/poster/7032; None
| null | 0 | null | null | null |
2;3;3
| null |
Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen
|
https://iclr.cc/virtual/2022/poster/7032
|
Meta learning;contrastive learning;few shot learning
| null | 2.666667 | null |
https://openreview.net/forum?id=LDAwu17QaJz
|
iclr
| -1 | 1 | null |
main
| 6 |
5;5;8
|
3;3;4
|
https://iclr.cc/virtual/2022/poster/7032
|
MAML is a Noisy Contrastive Learner in Classification
|
https://github.com/IandRover/MAML_noisy_contrasive_learner
| null | 3.333333 | 3.666667 |
Poster
|
4;4;3
|
2;3;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2
| null | null | null |
curriculum learning;natural language processing
| null | 2.333333 | null | null |
iclr
| 0 | -0.188982 | null |
main
| 4.666667 |
3;5;6
|
3;2;3
| null |
Curriculum Discovery through an Encompassing Curriculum Learning Framework
| null | null | 2.666667 | 4 |
Reject
|
4;4;4
|
2;3;2
|
null |
CSAIL, Massachusetts Institute of Technology; Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/6664; None
| null | 0 | null | null | null |
3;4;3
| null |
Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi Jaakkola
|
https://iclr.cc/virtual/2022/poster/6664
|
Drug Discovery;Antibody Design;Generative Models;Graph Generation
| null | 3.666667 | null |
https://openreview.net/forum?id=LI2bhrE_2A
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
3;3;4
|
https://iclr.cc/virtual/2022/poster/6664
|
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
|
https://github.com/wengong-jin/RefineGNN
| null | 3.333333 | 3.666667 |
Spotlight
|
3;4;4
|
3;4;4
|
null | null |
2022
| 2.2 | null | null | 0 | null | null | null |
2;1;2;3;3
| null | null | null |
non-Bayesian uncertainty estimation;selective prediction;transformer;vision transformer;vit;risk-coverage curve;selective classification;classification with a reject option
| null | 3 | null | null |
iclr
| -0.228218 | 0.612372 | null |
main
| 6 |
5;5;6;6;8
|
2;3;2;4;4
| null |
How to measure deep uncertainty estimation performance and which models are naturally better at providing it
| null | null | 3 | 3.6 |
Reject
|
4;3;5;3;3
|
2;3;2;4;4
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
retrosynthesis;reaction prediction;graph neural network;Transformer;positional embedding
| null | 1.75 | null | null |
iclr
| 0 | 0.57735 | null |
main
| 5 |
3;5;6;6
|
2;4;3;3
| null |
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
| null | null | 3 | 4 |
Reject
|
4;4;4;4
|
2;0;2;3
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
3;2;2
| null | null | null |
constrained reinforcement learning;reward-free;reinforcement learning theory;approachability;linear function approximation
| null | 0.333333 | null | null |
iclr
| 0 | 0 | null |
main
| 5.333333 |
5;5;6
|
4;4;4
| null |
A Simple Reward-free Approach to Constrained Reinforcement Learning
| null | null | 4 | 3 |
Reject
|
3;3;3
|
1;0;0
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3;3
| null | null | null |
graph neural networks;deep learning;self-supervised learning;molecular representation
| null | 2.5 | null | null |
iclr
| -0.992278 | 0.160128 | null |
main
| 5.5 |
3;5;6;8
|
3;3;4;3
| null |
3D Pre-training improves GNNs for Molecular Property Prediction
| null | null | 3.25 | 3.5 |
Reject
|
5;4;3;2
|
2;3;3;2
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;3;2
| null | null | null | null | null | 3 | null | null |
iclr
| 0.5 | 0.5 | null |
main
| 5.333333 |
5;5;6
|
4;3;4
| null |
Learning to Efficiently Sample from Diffusion Probabilistic Models
| null | null | 3.666667 | 3.666667 |
Reject
|
3;4;4
|
2;3;4
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Vision Transformers;Video Transformers;Video Understanding
| null | 2 | null | null |
iclr
| -0.688247 | 0.973329 | null |
main
| 4.75 |
3;5;5;6
|
2;3;3;4
| null |
Object-Region Video Transformers
| null | null | 3 | 4.5 |
Withdraw
|
5;4;5;4
|
2;0;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Early stopping;Overparameterization;Implicit regularization;Generalization;Learning theory
| null | 2 | null | null |
iclr
| -0.816497 | 0.408248 | null |
main
| 5 |
3;5;6;6
|
3;4;3;4
| null |
On Optimal Early Stopping: Overparametrization versus Underparametrization
| null | null | 3.5 | 3.5 |
Reject
|
4;4;3;3
|
2;3;3;0
|
null | null |
2022
| 3 | null | null | 0 | null | null | null |
3;3;3;3
| null | null | null |
nonconvex optimization;distributed optimization;finite-sum optimization;zero full gradient computation;variance reduction
| null | 2.25 | null | null |
iclr
| -0.939336 | 0.990148 | null |
main
| 5.25 |
3;5;5;8
|
2;3;3;4
| null |
ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computations
| null | null | 3 | 3.5 |
Reject
|
5;3;4;2
|
2;2;2;3
|
null | null |
2022
| 2.2 | null | null | 0 | null | null | null |
2;2;2;2;3
| null | null | null |
federated learning;Langevin dynamics;federated averaging;posterior inference;MCMC
| null | 0 | null | null |
iclr
| -0.559017 | 0.666667 | null |
main
| 4.4 |
3;3;5;5;6
|
3;3;3;3;4
| null |
On Convergence of Federated Averaging Langevin Dynamics
| null | null | 3.2 | 4 |
Reject
|
5;4;3;5;3
| null |
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;1;3;3
| null | null | null |
operator neural networks;universal approximation theorems;deep learning;truncation
| null | 0.8 | null | null |
iclr
| -0.858395 | 0.544862 | null |
main
| 3.6 |
1;3;3;5;6
|
3;4;2;4;4
| null |
Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks
| null | null | 3.4 | 4.2 |
Withdraw
|
5;4;5;4;3
|
1;0;0;0;3
|
null | null |
2022
| 1.75 | null | null | 0 | null | null | null |
1;2;2;2
| null |
Anqi Liu
| null |
cost-sensitive learning;hierarchical classification;learning to abstain
| null | 2.25 | null | null |
iclr
| 0.207514 | 0.927173 | null |
main
| 4.75 |
3;5;5;6
|
2;3;3;3
| null |
Cost-Sensitive Hierarchical Classification through Layer-wise Abstentions
| null | null | 2.75 | 3.75 |
Reject
|
4;3;3;5
|
1;2;3;3
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null |
Robotics;planning;TSP;RL;Multi Objective Optimization;Pareto Optimality
| null | 2.25 | null | null |
iclr
| 0 | 0 | null |
main
| 4.5 |
3;3;6;6
|
2;4;3;3
| null |
Pareto Frontier Approximation Network (PA-Net) Applied to Multi-objective TSP
| null | null | 3 | 3.5 |
Reject
|
4;3;4;3
|
2;2;3;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;2;3;3
| null | null | null |
Domain Generalization;Semantic Segmentation;Adversarial Style Augmentation
| null | 2.25 | null | null |
iclr
| 0.471405 | 0.866025 | null |
main
| 6 |
5;5;6;8
|
2;3;3;4
| null |
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
| null | null | 3 | 4.5 |
Reject
|
3;5;5;5
|
2;2;2;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
adversarial reinforcement learning;mean-field optimal control;generalization
| null | 1.25 | null | null |
iclr
| -0.707107 | 0 | null |
main
| 4 |
3;3;5;5
|
4;3;3;4
| null |
Theoretical understanding of adversarial reinforcement learning via mean-field optimal control
| null | null | 3.5 | 4 |
Withdraw
|
4;5;3;4
|
3;2;0;0
|
null |
National Tsing Hua University; Mediatek Inc.
|
2022
| 3.25 |
https://iclr.cc/virtual/2022/poster/6444; None
| null | 0 | null | null | null |
2;4;4;3
| null |
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
|
https://iclr.cc/virtual/2022/poster/6444
|
score-based generative model;conditional sampling
| null | 2.75 | null |
https://openreview.net/forum?id=LcF-EEt8cCC
|
iclr
| 0.816497 | 0.333333 | null |
main
| 7.5 |
6;8;8;8
|
3;4;3;3
|
https://iclr.cc/virtual/2022/poster/6444
|
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
| null | null | 3.25 | 4 |
Poster
|
3;5;4;4
|
1;3;4;3
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
2;2;2;3
| null | null | null |
Evolution Strategies;Computational Complexity;Jacobian Matrix;Stochastic Algorithm;Bilevel Optimization
| null | 2 | null | null |
iclr
| -0.57735 | -0.707107 | null |
main
| 4 |
3;3;5;5
|
4;3;3;2
| null |
ES-Based Jacobian Enables Faster Bilevel Optimization
| null | null | 3 | 3.75 |
Reject
|
4;4;4;3
|
2;1;2;3
|
null | null |
2022
| 3.2 |
https://iclr.cc/virtual/2022/poster/6611; None
| null | 0 | null | null | null |
3;4;3;3;3
| null |
Shaochen (Henry) Zhong, Guanqun Zhang, Ningjia Huang, shuai xu
|
https://iclr.cc/virtual/2022/poster/6611
|
structured pruning;efficient computing;parallel computing;grouped convolution;lottery ticket;weights shifting
| null | 2.6 | null |
https://openreview.net/forum?id=LdEhiMG9WLO
|
iclr
| -0.612372 | 0.612372 | null |
main
| 5.4 |
5;5;5;6;6
|
3;3;3;4;3
|
https://iclr.cc/virtual/2022/poster/6611
|
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
| null | null | 3.2 | 3.8 |
Poster
|
4;4;4;3;4
|
3;3;3;2;2
|
null | null |
2022
| 2.5 | null | null | 0 | null | null | null |
2;3;3;2
| null | null | null |
action-conditional video prediction;self-supervised learning;counterfactual generation
| null | 3 | null | null |
iclr
| -0.870388 | 0 |
https://iclr-mac.github.io/MAC/
|
main
| 5.25 |
5;5;5;6
|
4;3;2;3
| null |
Modular Action Concept Grounding in Semantic Video Prediction
|
https://github.com/iclr-mac/MAC
| null | 3 | 3.25 |
Withdraw
|
4;4;3;2
|
3;3;3;3
|
null |
Univ. of Wisconsin-Madison CS; KAIST AI; MIT EECS
|
2022
| 3.333333 |
https://iclr.cc/virtual/2022/poster/7030; None
| null | 0 | null | null | null |
3;3;4
| null |
Chulhee Yun, Shashank Rajput, Suvrit Sra
|
https://iclr.cc/virtual/2022/poster/7030
|
Local SGD;Minibatch SGD;Shuffling;Without-replacement;Convex Optimization;Stochastic Optimization;Federated Learning;Large Scale Learning;Distributed Learning
| null | 2.333333 | null |
https://openreview.net/forum?id=LdlwbBP2mlq
|
iclr
| 0 | 0 | null |
main
| 8 |
8;8;8
|
4;4;4
|
https://iclr.cc/virtual/2022/poster/7030
|
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
| null | null | 4 | 4 |
Oral
|
4;4;4
|
0;3;4
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
3;3;3;2
| null | null | null |
summarization
| null | 2.5 | null | null |
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
4;3;4;3
| null |
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
| null | null | 3.5 | 4 |
Reject
|
4;4;4;4
|
2;3;3;2
|
null |
MIT-IBM Watson AI Lab, Massachusetts Institute Technology; Improbable AI Lab, NSF AI Institute for AI and Fundamental Interactions (IAIFI), MIT-IBM Watson AI Lab, Massachusetts Institute Technology
|
2022
| 2.5 |
https://iclr.cc/virtual/2022/poster/6669; None
| null | 0 | null | null | null |
2;3;2;3
| null |
Ge Yang, Zhang-Wei Hong, Pulkit Agrawal
|
https://iclr.cc/virtual/2022/poster/6669
|
Multi-goal reinforcement learning;universal value function approximator
| null | 2.75 | null |
https://openreview.net/forum?id=LedObtLmCjS
|
iclr
| 0.57735 | 0.57735 | null |
main
| 6.5 |
6;6;6;8
|
4;3;3;4
|
https://iclr.cc/virtual/2022/poster/6669
|
Bi-linear Value Networks for Multi-goal Reinforcement Learning
| null | null | 3.5 | 3.5 |
Poster
|
3;4;3;4
|
3;3;2;3
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null |
Tabular data;Attention matrix;Transformer;Deep learning
| null | 2 | null | null |
iclr
| 0.57735 | 0.57735 | null |
main
| 4 |
3;3;5;5
|
3;2;3;3
| null |
SALT : Sharing Attention between Linear layer and Transformer for tabular dataset
| null | null | 2.75 | 3.75 |
Reject
|
3;4;4;4
|
2;2;2;2
|
null | null |
2022
| 2.25 | null | null | 0 | null | null | null |
3;2;2;2
| null | null | null |
non-convex optimization;overparameterized;optimization for deep learning;finite-sum;global minimum
| null | 0.5 | null | null |
iclr
| 0 | 0 | null |
main
| 6 |
6;6;6;6
|
3;3;2;4
| null |
New Perspective on the Global Convergence of Finite-Sum Optimization
| null | null | 3 | 3.75 |
Reject
|
4;5;4;2
|
0;0;2;0
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
2;2;2;2
| null | null | null | null | null | 2.5 | null | null |
iclr
| -0.324443 | 0.4842 | null |
main
| 4.75 |
3;5;5;6
|
2;2;4;3
| null |
D$^2$ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention
| null | null | 2.75 | 4 |
Withdraw
|
4;5;4;3
|
2;2;3;3
|
null | null |
2022
| 2.4 | null | null | 0 | null | null | null |
1;2;3;3;3
| null | null | null | null | null | 1.8 | null | null |
iclr
| 0 | 0.75 | null |
main
| 4 |
3;3;3;5;6
|
2;3;3;3;4
| null |
A Novel Watermarking Framework for Ownership Verification of DNN Architectures
| null | null | 3 | 3.4 |
Withdraw
|
4;2;4;4;3
|
1;2;3;0;3
|
null | null |
2022
| 2.75 | null | null | 0 | null | null | null |
2;2;4;3
| null | null | null |
multi-distribution density ratio estimation;Bregman divergence;proper scoring rules
| null | 2.5 | null | null |
iclr
| -1 | -0.301511 | null |
main
| 4.5 |
3;3;6;6
|
3;4;4;2
| null |
A Unified Framework for Multi-distribution Density Ratio Estimation
| null | null | 3.25 | 3.5 |
Withdraw
|
4;4;3;3
|
2;3;2;3
|
null |
Google Research
|
2022
| 3 |
https://iclr.cc/virtual/2022/poster/6228; None
| null | 0 | null | null | null |
2;3;3;4
| null |
Emiel Hoogeboom, Alexey Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
|
https://iclr.cc/virtual/2022/poster/6228
|
diffusion;autoregressive models;lossless compression
| null | 3 | null |
https://openreview.net/forum?id=Lm8T39vLDTE
|
iclr
| 0.927173 | 0 | null |
main
| 6.25 |
5;6;6;8
|
4;4;4;4
|
https://iclr.cc/virtual/2022/poster/6228
|
Autoregressive Diffusion Models
| null | null | 4 | 3.25 |
Poster
|
3;3;3;4
|
2;2;4;4
|
null | null |
2022
| 2.333333 | null | null | 0 | null | null | null |
2;2;3
| null | null | null |
federated learning;adversarial learning;on-the-fly fine-tuning
| null | 2 | null | null |
iclr
| -1 | 0.5 | null |
main
| 4.333333 |
3;5;5
|
3;3;4
| null |
FLBoost: On-the-Fly Fine-tuning Boosts Federated Learning via Data-free Distillation
| null | null | 3.333333 | 4.333333 |
Withdraw
|
5;4;4
|
2;2;2
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;3
| null |
Xinyu Zhang
| null |
Multi-Armed Bandits;Stochastic Bandits;Upper Confidence Bound;Exploration-Exploitation Trade-off
| null | 1.75 | null | null |
iclr
| -0.090909 | 0.870388 | null |
main
| 3.5 |
1;3;5;5
|
2;3;3;3
| null |
Tuning Confidence Bound for Stochastic Bandits with Bandit Distance
| null | null | 2.75 | 4.25 |
Withdraw
|
5;3;4;5
|
0;2;2;3
|
null | null |
2022
| 2.8 | null | null | 0 | null | null | null |
2;3;3;3;3
| null | null | null |
Imbalanced data classification;long-tailed classification;face recognition
| null | 2.2 | null | null |
iclr
| 0.0625 | 0.875 | null |
main
| 5.2 |
3;5;5;5;8
|
3;3;3;3;4
| null |
Learning to Learn across Diverse Data Biases in Deep Face Recognition
| null | null | 3.2 | 3.8 |
Withdraw
|
4;3;4;4;4
|
2;2;2;2;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 | 0.904534 | null |
main
| 4 |
3;3;5;5
|
2;2;4;3
| null |
Tessellated 2D Convolution Networks: A Robust Defence against Adversarial Attacks
| null | null | 2.75 | 4 |
Reject
|
4;4;5;3
|
1;2;3;2
|
null |
Department of Computer Science, UCLA; Google Research
|
2022
| 2.8 |
https://iclr.cc/virtual/2022/poster/6357; None
| null | 0 | null | null | null |
2;3;3;2;4
| null |
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong
|
https://iclr.cc/virtual/2022/poster/6357
|
Vision Transformers;Optimization
| null | 3.4 | null |
https://openreview.net/forum?id=LtKcMgGOeLt
|
iclr
| 0.395285 | -0.790569 | null |
main
| 7 |
5;6;8;8;8
|
4;3;3;3;3
|
https://iclr.cc/virtual/2022/poster/6357
|
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
|
https://github.com/google-research/vision_transformer
| null | 3.2 | 4.2 |
Spotlight
|
4;4;5;4;4
|
3;3;3;4;4
|
null | null |
2022
| 2 | null | null | 0 | null | null | null |
1;2;2;3
| null | null | null | null | null | 2.25 | null | null |
iclr
| -0.407556 | 0.756889 | null |
main
| 3.75 |
1;3;5;6
|
1;3;2;4
| null |
Mutual Information Continuity-constrained Estimator
| null | null | 2.5 | 3.5 |
Withdraw
|
5;2;4;3
|
1;2;2;4
|
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