ICLR 2025 Conference Submissions

Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco, Maksim Nekrashevich, Petr Mokrov, Evgeny Burnaev, Alexander Korotin
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
Jiahao Cui, Hui Li, Yao Yao, Hao Zhu, Hanlin Shang, Kaihui Cheng, Hang Zhou, Siyu Zhu, Jingdong Wang
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen
- Published: 22 Jan 2025, Last Modified: 10 May 2025
- ICLR 2025 Poster
- Readers: Everyone
Efficient Learning with Sine-Activated Low-Rank Matrices
Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis
Detai Xin, Xu Tan, Kai Shen, Zeqian Ju, Dongchao Yang, Yuancheng Wang, Shinnosuke Takamichi, Hiroshi Saruwatari, Shujie LIU, Jinyu Li, sheng zhao
- 26 Sept 2024 (modified: 07 Nov 2024)
- ICLR 2025 Conference Desk Rejected Submission
- Readers: Everyone
Parameter Space Representation Learning on Mixed-type Data
zhangkai wu, Xuhui Fan, Zhilin Zhao, Jin Li, Hui Chen, Longbing Cao
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li
- Published: 22 Jan 2025, Last Modified: 27 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Data Scaling Laws in Imitation Learning for Robotic Manipulation
Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You, Yang Gao
- Published: 22 Jan 2025, Last Modified: 12 Feb 2025
- ICLR 2025 Oral
- Readers: Everyone
MIO: A Foundation Model on Multimodal Tokens
Noah Wang, Kang Zhu, Chunpu Xu, Wangchunshu Zhou, Jiaheng Liu, Yibo Zhang, Jiashuo WANG, Ning Shi, Siyu Li, Yizhi LI, Haoran Que, Zhaoxiang Zhang, Yuanxing Zhang, Ge Zhang, Ke Xu, Jie Fu, Wenhao Huang
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Lasso Bandit with Compatibility Condition on Optimal Arm
Harin Lee, Taehyun Hwang, Min-hwan Oh
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Boost Protein Language Model with Injected Structure Information through Parameter Efficient Fine-tuning
Yuzhe Zhou, Jiayou Zheng, Zixun Zhang, Chun-Mei Feng, Shuguang Cui, Zhen Li
- 26 Sept 2024 (modified: 07 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
When predict can also explain: few-shot prediction to select better neural latents
Kabir Vinay Dabholkar, Omri Barak
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Leveraging deep learning for comprehensive classification of renal diseases: A transfer learning approach
Agniva Banerjee
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Brain-inspired continual pre-trained learner via silent synaptic consolidation
Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu
- 26 Sept 2024 (modified: 24 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Equivariant Neural Functional Networks for Transformers
Hoang V. Tran, Thieu Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen
- Published: 22 Jan 2025, Last Modified: 17 May 2025
- ICLR 2025 Poster
- Readers: Everyone
Bayes' Power for Explaining In-Context Learning Generalizations
Samuel Müller, Noah Hollmann, Frank Hutter
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Improving Deep Regression with Tightness
Shihao Zhang, Yuguang Yan, Angela Yao
- Published: 22 Jan 2025, Last Modified: 31 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Rapfi: Distilling Efficient Neural Network for the Game of Gomoku
Zhanggen Jin, Haobin Duan, Zhiyang Hang, Changming Xu
- 26 Sept 2024 (modified: 14 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Label Noise Gradient Descent Improves Generalization in the Low SNR Regime
Wei Huang, Andi Han, Yujin Song, Yilan Chen, Denny Wu, Difan Zou, Taiji Suzuki
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Large Language and Protein Assistant for Protein-Protein Interactions prediction
Peng Zhou, Pengsen Ma, Jianmin Wang, Xibao Cai, Haitao Huang, Wei Liu, Longyue Wang, Lai Hou Tim, xiangxiang Zeng
- 26 Sept 2024 (modified: 26 May 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
Jan von Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching
Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
- 26 Sept 2024 (modified: 10 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation
Shuowen Liang, sisi li, Qingyun Wang, Cen Zhang, Kaiquanzhu, Tian YANG
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
D2Coder: large language models based agent for coding with dynamic debugging tools
Yinghui Xia
- 26 Sept 2024 (modified: 28 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Looking Backward: Streaming Video-to-Video Translation with Feature Banks
Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu
- Published: 22 Jan 2025, Last Modified: 03 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone