ICLR 2024 Conference Submissions

xCodeEval: An Execution based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
Mohammad Abdullah Matin Khan, M Saiful Bari, Do Xuan Long, Weishi Wang, Md Rizwan Parvez, Shafiq Joty
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengming Li, Luping Liu, Runnan Li, Xu Tan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A representation-learning game for classes of prediction tasks
Neria Uzan, Nir Weinberger
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ORBIS: Open Dataset Can Rescue You From Dataset Bias
Sumyeong Ahn, Se-Young Yun
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin, Aston Zhang, Anirudh Dagar, Wenming Ye
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning to Optimize for Reinforcement Learning
Qingfeng Lan, A. Rupam Mahmood, Shuicheng YAN, Zhongwen Xu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Knowledge Is Not Wisdom: Weight Balancing Mechanism for Local and Global Training in Federated Learning
Donghee Kim, Dongwon Kim, Sung Kuk Shyn, Soobin Cha, Kwangsu Kim
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Interpretable Continual Learning Through Controlling Concepts
Sin-Han Yang, Tuomas Oikarinen, Tsui-Wei Weng
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph Representation Learning enhanced Semi-supervised Feature Selection
Jun Tan, Zhifeng Qiu, Ning Gui
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Meta-Knowledge Extraction: Uncertainty-Aware Prompted Meta-Learning
Bin Wu, Jinyuan Fang, Xiang Zhuang, Zhang Jian, Ying Wei, Qiang Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Key point is key in resolving the offline three-dimensional bin packing problem
Xinyuan Tian, pengzhan qu, Hongsheng Qi
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan, A. Rupam Mahmood
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu, Lingqiao Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DebateGPT: Fine-tuning Large Language Models with Multi-agent Debate Supervision
Vighnesh Subramaniam, Antonio Torralba, Shuang Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Train Short, Test Long In Combinatorial Optimization
Xinyuan Tian, pengzhan qu, Hongsheng Qi
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Unorthogonalized Matrices for Rotation Estimation
Kerui Gu, Zhihao Li, Shiyong Liu, Jianzhuang Liu, Songcen Xu, Youliang Yan, Michael Bi Mi, Kenji Kawaguchi, Angela Yao
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MissDiff: Training Diffusion Models on Tabular Data with Missing Values
Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Probabilistic Graphical Model for Robust Graph Neural Networks against Noisy Labels
Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Submodular Reinforcement Learning
Manish Prajapat, Mojmir Mutny, Melanie Zeilinger, Andreas Krause
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
InfoAug: Mutual Information Informed Augmentation for Representation Learning
Hanyang Chen, Qingyuan Zheng, YANG ZONGRU, Yanchao Yang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Case Study for the Behaviors of Generalists and Specialists in Competitive Games
Stefan Juang, Qiyang Cao, Yuan Zhou, Ruochen Liu, Elvis S. Liu, Nevin L. Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts
Hongfu Liu, Hengguan Huang, Ye Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone