ICLR

Influence Estimation for Generative Adversarial Networks

Naoyuki Terashita, Hiroki Ohashi, Yuichi Nonaka, Takashi Kanemaru

Comments Published as a conference paper at ICLR 2021 (Spotlight)

Distribution Compression in Near-linear Time

Abhishek Shetty, Raaz Dwivedi, Lester Mackey

Comments Accepted to ICLR 2022; An outdated proof of Theorem 2 was previously included in the appendix; this oversight is corrected in this version

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How

Comments Accepted to NeurIPS 2022. The earlier version was presented at the Gamification and Multiagent Solutions Workshop (ICLR 2022) with a spotlight. Code at https://github.com/dkkim93/further and videos at https://sites.google.com/view/further-marl

Leveraging Unlabeled Data to Predict Out-of-Distribution Performance

Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton, Behnam Neyshabur, Hanie Sedghi

Comments Accepted at ICLR 2022

Dynamic Token Normalization Improves Vision Transformers

Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo

Comments Published at ICLR'22; 18 pages, 12 Tables, 9 Figures

Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks

Luke Taylor, Andrew King, Nicol Harper

Comments 18 pages, 6 figures, under review at ICLR 2023

Empirical analysis of representation learning and exploration in neural kernel bandits

Michal Lisicki, Arash Afkanpour, Graham W. Taylor

Comments Extended version. Added a major experiment comparing NK distribution w.r.t. exploration and exploitation. Submitted to ICLR 2023

Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space

Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Ming Lin, YuQi Zhang, Senzhang Wang, Xiuyu Sun

Comments Accepted by the ICLR 2022. Homepage: https://thomas-wyh.github.io/

Grouped self-attention mechanism for a memory-efficient Transformer

Bumjun Jung, Yusuke Mukuta, Tatsuya Harada

Comments 10 pages, 3 figures, under review as a conference paper at ICLR 2023

Query The Agent: Improving sample efficiency through epistemic uncertainty estimation

Julian Alverio, Boris Katz, Andrei Barbu

Comments Submitted to ICLR 2023

Initialization and Regularization of Factorized Neural Layers

Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolò Fusi

Comments ICLR 2021 camera-ready, amended due to error pointed out in arXiv:2209.13569v1 (amendment shown in blue)

Denoising Diffusion Implicit Models

Jiaming Song, Chenlin Meng, Stefano Ermon

Comments ICLR 2021; updated connections with ODEs at page 6, fixed some typos in the proof

Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness

Sekou L. Remy, Oliver E. Bent

Comments Presented at the ICLR 2021 Workshop on AI for Public Health. arXiv admin note: substantial text overlap with arXiv:2111.07779

On the Learning and Learnability of Quasimetrics

Tongzhou Wang, Phillip Isola

Comments Project page: https://ssnl.github.io/quasimetric/ Code: https://github.com/SsnL/poisson_quasimetric_embedding

Journal ref International Conference on Learning Representations (ICLR) 2022

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde

Comments ICLR 2020, code is available at https://github.com/xuwangyin/GAT-Generative-Adversarial-Training; v4 fixed error in Figure 2

Neural Methods for Logical Reasoning Over Knowledge Graphs

Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang

Comments 14 pages, 5 figures, 11 tables

Journal ref International Conference on Learning Representations, 2022

Graph Condensation for Graph Neural Networks

Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah

Comments ICLR 2022

Omni-Dimensional Dynamic Convolution

Chao Li, Aojun Zhou, Anbang Yao

Comments Spotlight paper at ICLR 2022. Code and models are available at https://github.com/OSVAI/ODConv

Zero Pixel Directional Boundary by Vector Transform

Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool

Comments Published at the Tenth International Conference on Learning Representations (ICLR 2022)

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing

Iro Laina, Yuki M. Asano, Andrea Vedaldi

Comments Published at ICLR 2022. Appendix included, 26 pages

Generative Principal Component Analysis

Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett

Comments ICLR 2022 paper + additional appendix on algorithm-independent lower bounds + corrected experimental results for the Fashion-MNIST dataset

Semantic Image Synthesis with Semantically Coupled VQ-Model

Stephan Alaniz, Thomas Hummel, Zeynep Akata

Comments ICLR 2022 DGM4HSD

Top-label calibration and multiclass-to-binary reductions

Chirag Gupta, Aaditya Ramdas

Comments 40 pages, 12 figures, 5 tables, published at International Conference on Learning Representations (ICLR) 2022

Uncertainty Sets for Image Classifiers using Conformal Prediction

Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan

Comments ICLR 2021 Spotlight, https://openreview.net/forum?id=eNdiU_DbM9 . Project website at https://people.eecs.berkeley.edu/~angelopoulos/blog/posts/conformal-classification/ . Codebase at https://github.com/aangelopoulos/conformal_classification

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality

Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

Comments 49 Pages; ICLR 2022

Why So Inflammatory? Explainability in Automatic Detection of Inflammatory Social Media Users

Cuong Nguyen, Daniel Nkemelu, Ankit Mehta, Michael Best

Comments 6 pages. Spotlight paper at PML4DC 2022 workshop, co-located with ICLR 2022

A Unified Substrate for Body-Brain Co-evolution

Sidney Pontes-Filho, Kathryn Walker, Elias Najarro, Stefano Nichele, Sebastian Risi

Comments 13 pages, 7 figures, accepted as a poster paper at The Genetic and Evolutionary Computation Conference (GECCO 2022), accepted as workshop paper at Workshop From Cells to Societies: Collective Learning Across Scales at Tenth International Conference on Learning Representations (ICLR 2022)

GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation

Edward Elson Kosasih, Rucha Bhalchandra Joshi, Janamejaya Channegowda

Comments Accepted at CoSubmitting Summer (CSS) Workshop https://iclr.cc/virtual/2022/workshop/9069

Learning to Downsample for Segmentation of Ultra-High Resolution Images

Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander

Comments 19 pages, 17 figures

Journal ref International Conference on Learning Representations, 2022

Hierarchical Reinforcement Learning By Discovering Intrinsic Options

Jesse Zhang, Haonan Yu, Wei Xu

Comments ICLR 2021. 19 pages, 9 figures. Code at https://www.github.com/jesbu1/hidio