ICLR

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products

Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan

Comments 36 pages; ICLR 2024 (Spotlight Presentation); Code: https://github.com/lsj2408/Gaunt-Tensor-Product

Kalman Filter for Online Classification of Non-Stationary Data

Michalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein

Journal ref ICLR 2024

Classification with Conceptual Safeguards

Hailey Joren, Charles Marx, Berk Ustun

Journal ref International Conference on Learning Representations (ICLR), 2024

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning

Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park

Comments NeurIPS 2024. Previously accepted (Spotlight) to ICLR 2024 Workshop on Generative Models for Decision Making. Jaewoo Lee and Sujin Yun are equal contribution authors

Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics

Philipp Dominic Siedler

Comments Tackling Climate Change with Machine Learning Workshop at the 11th International Conference on Learning Representations (ICLR 2023)

Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series

Satya Narayan Shukla, Benjamin M. Marlin

Comments Accepted at International Conference on Learning Representations (ICLR) 2022

SpectralNet: Spectral Clustering using Deep Neural Networks

Uri Shaham, Kelly Stanton, Henry Li, Boaz Nadler, Ronen Basri, Yuval Kluger

Comments Added citations. Accepted to ICLR 2018

Journal ref ICLR 2018

HYPO: Hyperspherical Out-of-Distribution Generalization

Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

Comments The conference version of this paper is published at ICLR 2024; First two authors contributed equally

Communication Learning in Multi-Agent Systems from Graph Modeling Perspective

Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

Comments Extension of the corresponding ICLR edition: arXiv:2405.08550

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao

Comments ICLR 2024

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks

Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina

Journal ref The Twelfth International Conference on Learning Representations (2024)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning

Claude Formanek, Callum Rhys Tilbury, Jonathan Shock, Kale-ab Tessera, Arnu Pretorius

Comments Accepted as oral presentation at Reincarnating Reinforcement Learning workshop at ICLR 2023

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

Comments Short version accepted at DPFM, ICLR'24; Full paper at NeurIPS'24

Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings

Jeremiah Ridge, Oiwi Parker Jones

Comments Submitted to ICLR 2025

LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models

Xiaohui Gao, Yue Cheng, Peiyang Li, Yijie Niu, Yifan Ren, Yiheng Liu, Haiyang Sun, Zhuoyi Li, Weiwei Xing, Xintao Hu

Comments 9 pages of main text, 23 pages total, submitted to ICLR 2025 and currently under review

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning

Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg

Comments ICLR 2024 | Code available at: https://github.com/maxxu05/rebar

Journal ref The Eleventh International Conference on Learning Representations (2024)

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework

Maresa Schröder, Dennis Frauen, Stefan Feuerriegel

Journal ref Published as a conference paper at ICLR 2024

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors

Hang Yin, Zihao Wang, Yangqiu Song

Comments Received in ICLR 2024

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye

Comments Accepted by ICLR-2024

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces

Tales H. Carvalho, Kenneth Tjhia, Levi H. S. Lelis

Comments Published as a conference paper at ICLR 2024

Unveiling Options with Neural Decomposition

Mahdi Alikhasi, Levi H. S. Lelis

Comments Published as a conference paper at ICLR 2024

WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for LLMs

Eryk Banatt, Jonathan Cheng, Skanda Vaidyanath, Tiffany Hwu

Comments Submitted to ICLR 2025. Preprint version 1

Towards a Categorical Foundation of Deep Learning: A Survey

Francesco Riccardo Crescenzi

Comments In the previous version of the survey, it was stated that the paper "Pooling Image Datasets with Multiple Covariate Shift and Imbalance" (Chytas, Lokhande, Singh) had been withdrawn by the authors. I have been informed that only an incomplete draft of the work was withdrawn after it was inadvertently uploaded. The complete work was actually published at ICLR and has never been withdrawn

Group Preference Optimization: Few-Shot Alignment of Large Language Models

Siyan Zhao, John Dang, Aditya Grover

Comments accepted at ICLR 2024, code at https://github.com/jamqd/Group-Preference-Optimization

Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits

Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu

Comments 24 pages, 2 figures. In ICLR 2024

ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection

Hyunchul Bae, Minhee Kang, Heejin Ahn

Comments 20pages, under review at ICLR 2025

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data

Thomas T. C. K. Zhang, Leonardo F. Toso, James Anderson, Nikolai Matni

Comments Appeared at ICLR 2024 (spotlight presentation)

Rapid Grassmannian Averaging with Chebyshev Polynomials

Brighton Ancelin, Alex Saad-Falcon, Kason Ancelin, Justin Romberg

Comments Submitted to ICLR 2025

CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images

Olga Fourkioti, Matt De Vries, Chen Jin, Daniel C. Alexander, Chris Bakal

Comments 16 pages, 4 figures

Journal ref The Twelfth International Conference on Learning Representations, ICLR 2024

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks

Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel Fernandes, Nicholas Kasman, Irina Gaynanova

Comments The Twelfth International Conference on Learning Representations. 2024