ICLR 2024 Conference Submissions

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim
- Published: 16 Jan 2024, Last Modified: 27 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Open-Ended Learning in General-Sum Games: The Role of Diversity in Correlated Equilibrium
Zeyuan Zhao, Muning Wen, Ying Wen, Yaodong Yang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Local Equilibrium in Non-Concave Games
Yang Cai, Constantinos Costis Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Uncertainty-aware Graph-based Hyperspectral Image Classification
Linlin Yu, Yifei Lou, Feng Chen
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Zero-shot Human-Object Interaction Detection via Conditional Multi-Modal Prompts
Ting Lei, Yang Liu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Pick and Adapt: An Iterative Approach for Source-Free Domain Adaptation
Ronghang Zhu, Xiang Yu, Weiming Zhuang, Lingjuan Lyu, Sheng Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making
Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj Singh, Misha Sra
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generative Adversarial Equilibrium Solvers
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Rethinking Counterfactual Fairness: On Which Individuals to Enforce, and How?
Haoxuan Li, Chunyuan Zheng, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Boolean functions with neural networks
Will Burstein
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Emergent Corpus Pretraining Benefits Vision Language Modeling
Makanjuola Adekunmi Ogunleye, Chase Vickery, Ismini Lourentzou
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection
Sicong Huang, Jiawei He, Yik Chau Lui
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Inverse Multiagent Learning
Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Learning to Play Atari in a World of Tokens
Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou
- 24 Sept 2023 (modified: 01 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Do Pre-trained Transformers Really Learn In-context by Gradient Descent?
Lingfeng Shen, Aayush Mishra, Daniel Khashabi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
Adam J Wang, Son Nguyen, Albert Montillo
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedOD: Federated Outlier Detection via Neural Approximation
Yue Zhao, Sidharth Sharma, Zhihao Jia
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robustness Evaluation of Proxy Models against Adversarial Optimization
Andy Zou, Long Phan, Nathaniel Li, Jun Shern Chan, Mantas Mazeika, Aidan O'Gara, Steven Basart, Jonathan Ng, Scott Emmons, J Zico Kolter, Matt Fredrikson, Dan Hendrycks
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-Objective Multi-Solution Transport
Ziyue Li, Tian Li, Virginia Smith, Jeff Bilmes, Tianyi Zhou
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FORKS: Fast Second-Order Online Kernel Learning using Incremental Sketching
Dongxie Wen, Xiao Zhang, Zhewei Wei
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph Transformers on EHRs: Better Representation Improves Downstream Performance
Raphael Poulain, Rahmatollah Beheshti
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models
Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Counterfactual Fairness from Partially DAGs: A General Min-Max Optimization Framework
Haoxuan Li, Yue Liu, Zhi Geng, Kun Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
Zi Wang, Bin Hu, Aaron J Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone