ICLR 2024 Conference Submissions

Semi-supervised Long-tailed Recognition using Alternate Sampling
Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
Yongchan Kwon, Eric Wu, Kevin Wu, James Zou
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Federated Tuning for Black Box Large Models
Zihao Lin, Yan Sun, Yifan Shi, Xueqian Wang, Lifu Huang, Li Shen, Dacheng Tao
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Geometric Analysis of Multi-label Learning under Pick-all-label Loss via Neural Collapse
Pengyu Li, Yutong Wang, Xiao Li, Qing Qu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Representation Matching Information Bottleneck for Text Matching in Asymmetrical Domains
Haihui Pan, Zhifang Liao, Wenrui Xie
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks
Zhaoyu Li, Jinpei Guo, Xujie Si
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning UI-to-Code Reverse Generator Using Visual Critic Without Rendering
Davit Soselia, Khalid Saifullah, Tianyi Zhou
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding Domain Generalization: A Noise Robustness Perspective
Rui Qiao, Bryan Kian Hsiang Low
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Non-negative Contrastive Learning
Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Can Differentiable Decision Trees Learn Interpretable Reward Functions?
Akansha Kalra, Daniel S. Brown
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Image Clustering Conditioned on Text Criteria
Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
SoftPhy: Soft-Body Physical Concept Learning and Reasoning from Videos
Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Christopher A. Choquette-Choo, Krishnamurthy Dj Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient PDE Solutions using Hartley Neural Operators in Physics-Informed Networks: Potentials and Limitations
Jason Alan Sulskis, Sathya N. Ravi
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction
Tingsong Xiao, Zelin Xu, Jim Su, Wenchong He, Jiang Bian, Zhe Jiang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Regularized Optimal Transport for Temporal Trajectory Analysis in Single-Cell Data
Jie Peng, Xuan Song, Yanyong Zhang, Zhigang He, Marinka Zitnik, Manolis Kellis, Tianlong Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning
Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu, Yongqi Zhang, Yong Li, quanming yao
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik R Narasimhan
- Published: 16 Jan 2024, Last Modified: 04 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
Disha Makhija, Joydeep Ghosh, Nhat Ho
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hierarchical Graph Latent Diffusion Model for Molecule Generation
Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Tingyang Xu, Yu Rong, Jia Li, Hong Cheng
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interactive Model Correction with Natural Language
Yoonho Lee, Michelle Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
Zhenfang Chen, Rui Sun, Wenjun Liu, Yining Hong, Chuang Gan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone