ICLR

On a Relation Between the Rate-Distortion Function and Optimal Transport

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

Comments Published as a Tiny Paper at ICLR 2023; invited to present

FFPDG: Fast, Fair and Private Data Generation

Weijie Xu, Jinjin Zhao, Francis Iannacci, Bo Wang

Comments 12 pages, 2 figures, ICLR 2021 Workshop on Synthetic Data Generation

Journal ref ICLR 2021 Workshop on Synthetic Data Generation

Seeing in Words: Learning to Classify through Language Bottlenecks

Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein

Comments 5 pages, 2 figures, Published as a Tiny Paper at ICLR 2023

Machine Unlearning of Federated Clusters

Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic

Comments 27 pages. ICLR 2023

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

Comments ICLR 2023. Code is available at https://github.com/PolinaKirichenko/deep_feature_reweighting

The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks

Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry

Comments Published at ICLR 2023. Fixed statements and proofs of Proposition 3 and Theorem 2

The power of motifs as inductive bias for learning molecular distributions

Johanna Sommer, Leon Hetzel, David Lüdke, Fabian Theis, Stephan Günnemann

Comments Accepted for publication at the MLDD workshop, ICLR 2023

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng

Comments The paper has been accepted by ICLR 2023

On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation

Tiago Pimentel, Clara Meister, Ryan Cotterell

Comments Appeared at ICLR 2023. Tiago Pimentel and Clara Meister contributed equally to this work. Code for reproducing results can be found at https://github.com/rycolab/clusters-in-language-evaluation

Sequential Gradient Coding For Straggler Mitigation

M. Nikhil Krishnan, MohammadReza Ebrahimi, Ashish Khisti

Comments Published in The Eleventh International Conference on Learning Representations (ICLR 2023)

Bilinear value networks

Zhang-Wei Hong, Ge Yang, Pulkit Agrawal

Journal ref Published at ICLR 2022

Topological Experience Replay

Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

Journal ref Published at ICLR 2022

Continual Transformers: Redundancy-Free Attention for Online Inference

Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis

Comments 16 pages, 6 figures, 7 tables

Journal ref International Conference on Learning Representations, 2023

Diffusion Models for Causal Discovery via Topological Ordering

Pedro Sanchez, Xiao Liu, Alison Q O'Neil, Sotirios A. Tsaftaris

Comments Implementation is available at https://github.com/vios-s/DiffAN Published as a conference paper at ICLR 2023 https://openreview.net/forum?id=Idusfje4-Wq

Journal ref The Eleventh International Conference on Learning Representations (2023)

On the duality between contrastive and non-contrastive self-supervised learning

Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann Lecun

Comments The Eleventh International Conference on Learning Representations, 2023, Kigali, Rwanda

Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective

Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Ruslan Salakhutdinov

Comments ICLR 2023, Project website with code: https://alignedlatentmodels.github.io/

Estimating Residential Solar Potential Using Aerial Data

Ross Goroshin, Alex Wilson, Andrew Lamb, Betty Peng, Brandon Ewonus, Cornelius Ratsch, Jordan Raisher, Marisa Leung, Max Burq, Thomas Colthurst, William Rucklidge, Carl Elkin

Journal ref ICLR 2023 - Tackling Climate Change with Machine Learning Workshop

OTOV2: Automatic, Generic, User-Friendly

Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov

Comments Published on ICLR 2023. Remark here that a few images of dependency graphs can not be included in arXiv due to exceeding size limit

Test-Time Robust Personalization for Federated Learning

Liangze Jiang, Tao Lin

Comments Accepted to ICLR 2023 (LJ and TL contribute equally)

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Zhang-Wei Hong, Pulkit Agrawal, Rémi Tachet des Combes, Romain Laroche

Journal ref Conference paper at ICLR 2023

Learning Group Importance using the Differentiable Hypergeometric Distribution

Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt

Comments ICLR 2023 (Spotlight)

Journal ref The 11th International Conference on Learning Representations (ICLR 2023)

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Jian Xu, Xinyi Tong, Shao-Lun Huang

Comments ICLR 2023, fix some typos and add the code link

Spectral Augmentation for Self-Supervised Learning on Graphs

Lu Lin, Jinghui Chen, Hongning Wang

Comments ICLR 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Comments Accpetd by ICLR 2023

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren

Comments Eleventh International Conference on Learning Representation (ICLR) 2023

Contrastive Corpus Attribution for Explaining Representations

Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee

Comments Updated for the final camera-ready version of ICLR 2023

MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features

Royden Wagner, Marvin Klemp, Carlos Fernandez Lopez

Comments Technical report, 6 pages, 4 figures, accepted at ICLR 2023 Tiny Papers

Asymptotic Instance-Optimal Algorithms for Interactive Decision Making

Kefan Dong, Tengyu Ma

Comments Accepted by ICLR 2023

Neural Architecture Design and Robustness: A Dataset

Steffen Jung, Jovita Lukasik, Margret Keuper

Comments ICLR 2023; project page: http://robustness.vision/

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation

Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang

Comments ICLR 2023 Spotlight (notable-top-25%)