ICLR 2024 Conference Submissions

Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
Haolin Liu, Chen-Yu Wei, Julian Zimmert
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Precise Characterization of SGD Stability Using Loss Surface Geometry
Gregory Dexter, Borja Ocejo, Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Compositional Interfaces for Compositional Generalization
Jelena Luketina, Jack Lanchantin, Sainbayar Sukhbaatar, Arthur Szlam
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Reddy Evuru, Ramaneswaran S, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
HiLoRL: A Hierarchical Logical Model for Learning Composite Tasks
Chuan Hu, Jingyu Cao, Jinpeng Zhang, Yunze Wu, Yi Wu, Zhilei Xu, Jianzhu Ma, Yuan Zhou
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Scaling Laws for Imitation Learning in Single-Agent Games
Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean Foster, Karthik R Narasimhan, Sham M. Kakade
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can Language Agents Approach the Performance of RL? An Empirical Study On OpenAI Gym
Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Contrastive Representations Make Planning Easy
Benjamin Eysenbach, Vivek Myers, Sergey Levine, Ruslan Salakhutdinov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series
Y Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma, Xuhui Huang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Successor Representations with Distributed Hebbian Temporal Memory
Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksandr Panov
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DNCs require more planning steps
Yara Shamshoum, Yuval Sieradzki, Nitzan Hodos, Assaf Schuster
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
BaDLoss: Backdoor Detection via Loss Dynamics
Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Ruoyu Wang, Yongqi Yang, Zhihao Qian, Ye Zhu, Yu Wu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Improved Invariant Learning for Node-level Out-of-distribution Generalization on Graphs
Qixun Wang, Yisen Wang, Xianghua Ying
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Parameter-Free Molecular Classification and Regression with Gzip
Jan Weinreich, Daniel Probst
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GIFF: Generalized Inference Friendly Forward-Forward Algorithm
Yigit Tuncel, Jiahao Lin, Xinmiao Xiong, Umit Ogras
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine ABBAHADDOU, Sofiane ENNADIR, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Boosting Reinforcement Learning with Extremum Experiences
Ezgi Korkmaz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Modify Training Direction in Function Space to Reduce Generalization Error
Yi Yu, Boyu Chen, Wenlian Lu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
Mao Hong, Zhiyue Zhang, Yue Wu, Yanxun Xu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Score Models for Offline Goal-Conditioned Reinforcement Learning
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LaDe: The First Comprehensive Last-mile Express Dataset from Industry
Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Chao Song, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone