ICLR 2024 Conference Submissions

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Parameter-Efficient Detoxification with Contrastive Decoding
Tong Niu, Caiming Xiong, Semih Yavuz, Yingbo Zhou
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SAMPLING TO DISTILL: KNOWLEDGE TRANSFER FROM OPEN-WORLD DATA
Yuzheng Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Unified and General Framework for Continual Learning
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds
Wanpeng Zhang, Zongqing Lu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance
Paul Kuo-Ming Huang, Si-An Chen, Hsuan-Tien Lin
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HyperDisGAN: A Controllable Variety Generative Model Via Hyperplane Distances for Downstream Classifications
Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Kang Liu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling
Huancheng Chen, Haris Vikalo
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng, Zichao Yue, Zhiru Zhang
- Published: 16 Jan 2024, Last Modified: 22 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MagicRemover: Tuning-free Text-guided Image Inpainting with Diffusion Models
Siyuan Yang, Lu Zhang, Liqian Ma, Jingjing Fu, Yu LIU, You He
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Temporal Repetition Counting with Dynamic Action Queries
Zishi Li, Qiuyan Shang, Xiaoxuan Ma, Wentao Zhu, Hai Ci, Yizhou Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models
Chenzhuang Du, Yue Zhao, Chonghua Liao, Jiacheng You, Jie Fu, Hang Zhao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion
Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits
Easton Knight Huch, Jieru Shi, Madeline R Abbott, Jessica R Golbus, Alexander Moreno, Walter H. Dempsey
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BOT: Bootstrapped Optimal Transport for Multi-label Noise Learning
Lefei Zhang, Geng Yu, Jiangchao Yao, Yew-Soon Ong, Yanfeng Wang, Ivor Tsang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding Continuous-depth Networks through the Lens of Homogeneous Ricci Flows
Jun Chen, Guang Dai, Ivor Tsang, Yong Liu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
When Is Multilinguality a Curse? Language Modeling for 252 High- and Low-Resource Languages
Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Gaussian Mutual Information Maximization for Graph Self-supervised Learning: Bridging Contrastive-based to Decorrelation-based
Jinyong Wen
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AdaSR: Adaptive Super Resolution for Cross Platform and Dynamic Runtime Environments
Syed Zawad, Zhewei Yao, Cheng Li, Feng Yan, Yuxiong He
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rational Decision-Making Agent with Internalized Utility Judgment
Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone