ICLR

Online Low Rank Matrix Completion

Prateek Jain, Soumyabrata Pal

Comments 37 pages, 7 figures (Accepted at ICLR 2023)

Spectral Decomposition Representation for Reinforcement Learning

Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

Comments ICLR 2023. The first two authors contribute equally

RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates

Laurent Condat, Peter Richtárik

Comments International Conference on Learning Representations (ICLR) 2023

MultiViz: Towards Visualizing and Understanding Multimodal Models

Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov

Comments ICLR 2023. Code available at: https://github.com/pliang279/MultiViz

Riemannian Metric Learning via Optimal Transport

Christopher Scarvelis, Justin Solomon

Comments ICLR 2023

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou

Comments Published at ICLR 2023. V2: added PaLM results; V3: added UL2 results; V4: camera ready version at ICLR 2023

Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning

Alex Gu, Songtao Lu, Parikshit Ram, Lily Weng

Comments 43 pages, 3 figures, ICLR 2023 version

How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules

Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

Comments ICLR 2023

Temporal Dependencies in Feature Importance for Time Series Predictions

Kin Kwan Leung, Clayton Rooke, Jonathan Smith, Saba Zuberi, Maksims Volkovs

Comments International Conference on Learning Representations 2023 (ICLR'23)

Globally Optimal Training of Neural Networks with Threshold Activation Functions

Tolga Ergen, Halil Ibrahim Gulluk, Jonathan Lacotte, Mert Pilanci

Comments Accepted to ICLR 2023

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning

Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Foerster, Roberta Raileanu, Tim Rocktäschel

Comments International Conference on Learning Representations (ICLR) 2023

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting

An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-seng Chua

Comments In proceedings of ICLR 2023

Can We Find Nash Equilibria at a Linear Rate in Markov Games?

Zhuoqing Song, Jason D. Lee, Zhuoran Yang

Comments ICLR 2023

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Wei Li, Linchao Zhu, Longyin Wen, Yi Yang

Comments Accepted by ICLR 2023. Code is available at https://github.com/dhg-wei/DeCap

Guiding Energy-based Models via Contrastive Latent Variables

Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin

Comments Accepted to ICLR 2023 (Spotlight). The code is available at https://github.com/hankook/CLEL

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention

Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang

Comments Accepted at ICLR 2023

Learning multi-scale local conditional probability models of images

Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P Simoncelli

Comments 16 pages, 8 figures

Journal ref ICLR 2023

Non-Parametric Outlier Synthesis

Leitian Tao, Xuefeng Du, Xiaojin Zhu, Yixuan Li

Comments ICLR 2023

Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning

Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim

Comments ICLR 2023. Project page: https://zhenwang9102.github.io/mpt.html

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification

Xiang Hu, Xinyu Kong, Kewei Tu

Comments ICLR 2023

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song

Comments This manuscript has been accepted at ICLR 2023

FedExP: Speeding Up Federated Averaging via Extrapolation

Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi

Comments Accepted to ICLR 2023. V2 fixes minor typos and cleans up proofs

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos

Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian McAuley, Taylor Berg-Kirkpatrick

Comments Accepted by ICLR 2023. Audio samples can be found at https://sony.github.io/CLIPSep/

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam

Comments Accepted by ICLR 2023

Coverage-centric Coreset Selection for High Pruning Rates

Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash

Comments International Conference on Learning Representations (ICLR) 2023

AudioGen: Textually Guided Audio Generation

Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi

Comments Accepted to ICLR 2023

Transformer Meets Boundary Value Inverse Problems

Ruchi Guo, Shuhao Cao, Long Chen

Comments 30 pages, 10 figures. Published as a conference paper at ICLR 2023

Sampling-free Inference for Ab-Initio Potential Energy Surface Networks

Nicholas Gao, Stephan Günnemann

Comments Published as a conference paper at ICLR 2023

Dual Diffusion Implicit Bridges for Image-to-Image Translation

Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon

Comments 18 pages, 12 figures, in the Eleventh International Conference on Learning Representations (ICLR 2023)

Understanding weight-magnitude hyperparameters in training binary networks

Joris Quist, Yunqiang Li, Jan van Gemert

Comments Conference: ICLR 2023