ICLR

Clairvoyance: A Pipeline Toolkit for Medical Time Series

Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

Journal ref In Proc. 9th International Conference on Learning Representations (ICLR 2021)

Sleep Deprivation in the Forward-Forward Algorithm

Mircea-Tudor Lică, David Dinucu-Jianu

Comments 5 pages, 2 figures, published in ICLR 2023 TinyPapers

Compositional Generalization and Decomposition in Neural Program Synthesis

Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

Comments Published at the Deep Learning for Code (DL4C) Workshop at ICLR 2022

CrossBeam: Learning to Search in Bottom-Up Program Synthesis

Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton

Comments Published at ICLR 2022

A Unified Algebraic Perspective on Lipschitz Neural Networks

Alexandre Araujo, Aaron Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu

Comments ICLR 2023. Spotlight paper

Learning to reason over visual objects

Shanka Subhra Mondal, Taylor Webb, Jonathan D. Cohen

Comments ICLR 2023

Proposal-Contrastive Pretraining for Object Detection from Fewer Data

Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard

Comments Published as a conference paper at ICLR 2023

GLM-130B: An Open Bilingual Pre-trained Model

Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Peng Zhang, Yuxiao Dong, Jie Tang

Comments Accepted to ICLR 2023

Multi-objective optimization via equivariant deep hypervolume approximation

Jim Boelrijk, Bernd Ensing, Patrick Forré

Comments Updated with camera-ready version. Accepted at ICLR 2023

Continual Invariant Risk Minimization

Francesco Alesiani, Shujian Yu, Mathias Niepert

Comments Shorter version of this paper was presented at RobustML workshop of ICLR 2021

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer

Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse

Comments 17 pages, published as a conference paper at ICLR 2019

Journal ref ICLR 2019

Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work

Khawar Islam

Comments Added AAAI 2022 methods and working on ICLR 2022 methods and ICML 2022

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios

Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

Comments Published at the International Conference on Learning Representations, ICLR 2022

Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts

Amrith Setlur, Don Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine

Journal ref ICLR 2023

On the Trade-Off between Actionable Explanations and the Right to be Forgotten

Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci

Comments ICLR 2023 camera ready version

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

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, Himabindu Lakkaraju

Comments ICLR 2023, camera ready version

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

Swarm Reinforcement Learning For Adaptive Mesh Refinement

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

Comments Accepted at Neural Information Processing Systems (NeurIPS) 2023. Version 1 of this paper is a preliminary version that was accepted as a workshop paper in the International Conference on Learning Representations (ICLR) 2023 Workshop on Physics for Machine Learning

Constructing and Compressing Global Moment Descriptors from Local Atomic Environments

Vahe Gharakhanyan, Max Aalto, Aminah Alsoulah, Nongnuch Artrith, Alexander Urban

Comments 19 pages, 1 main figure, 8 supplementary figures, 5 supplementary tables, published at ICLR 2023 ML4Materials workshop

Towards Inferential Reproducibility of Machine Learning Research

Michael Hagmann, Philipp Meier, Stefan Riezler

Comments Published at ICLR 2023

The Art of Embedding Fusion: Optimizing Hate Speech Detection

Mohammad Aflah Khan, Neemesh Yadav, Mohit Jain, Sanyam Goyal

Comments Published as a Tiny Paper at ICLR 2023, 12 Pages

Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning

Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio

Comments Published at ICLR 2023

Regression with Label Differential Privacy

Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang

Comments Appeared at ICLR '23, 28 pages, 6 figures

Quantifying and mitigating the impact of label errors on model disparity metrics

Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern

Comments Conference paper at ICLR 2023

On the Convergence of AdaGrad(Norm) on $\R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration

Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

Comments Updated manuscript from ICLR 2023 with fixed typos

Effective Self-supervised Pre-training on Low-compute Networks without Distillation

Fuwen Tan, Fatemeh Saleh, Brais Martinez

Comments ICLR 2023 Camera Ready. Code is publicly available at https://github.com/saic-fi/SSLight

If there is no underfitting, there is no Cold Posterior Effect

Yijie Zhang, Yi-Shan Wu, Luis A. Ortega, Andrés R. Masegosa

Comments 9 pages, 3 figures, ICLR 2024

Human-Producible Adversarial Examples

David Khachaturov, Yue Gao, Ilia Shumailov, Robert Mullins, Ross Anderson, Kassem Fawaz

Comments Submitted to ICLR 2024

A Geometric Perspective on Autoencoders

Yonghyeon Lee

Comments 10 pages, 13 figures, a summary of the contents presented in publications from NeurIPS 2021, ICLR 2022, and TAG-ML at ICML 2023

Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation

Shravan Nayak, Surangika Ranathunga, Sarubi Thillainathan, Rikki Hung, Anthony Rinaldi, Yining Wang, Jonah Mackey, Andrew Ho, En-Shiun Annie Lee

Comments Accepted for poster presentation at the Practical Machine Learning for Developing Countries (PML4DC) workshop, ICLR 2023

SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning

Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart, David Reeb

Journal ref International Conference on Learning Representations (ICLR) 2022