ICLR 2025 Conference Submissions

What can Mamba do for 3D Volumetric Medical Image Segmentation?
Chaohan Wang, Qi Chen, Yuyin Zhou, Qi Wu, Yutong Xie
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Learning Semantic-Enhanced Dual Temporal Adjacent Maps for Video Moment Retrieval
Yu Wang, Shengjie Zhao, Shiwei Chen
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
TUI: A Conformal Uncertainty Indicator for Continual Test-Time Adaptation
Fan Lyu, Ziqi Shi, hanyu zhao, Fuyuan Hu, Zhang Zhang, Liang Wang
- 25 Sept 2024 (modified: 15 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Not All LLM Reasoners Are Created Equal
Arian Hosseini, Alessandro Sordoni, Daniel Kenji Toyama, Aaron Courville, Rishabh Agarwal
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Pseudo-Labels are All You Need for Out-Of-Distribution Detection
Atik Garg, Yu-Shuen Wang
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang, Josh Viktorov, Doosan Jung, Emily Pitler
- Published: 22 Jan 2025, Last Modified: 26 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
- Published: 22 Jan 2025, Last Modified: 02 May 2025
- ICLR 2025 Poster
- Readers: Everyone
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
- Published: 22 Jan 2025, Last Modified: 16 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Multi-objective Multi-agent Reinforcement Learning with Pareto-stationary Convergence
Pengcheng Dai, Lingjie Duan
- 25 Sept 2024 (modified: 28 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
GasketRAG: Systematic Alignment of Large Language Models with Retrievers
Wenhan Han, Meng Fang, Yaohang Li, Mykola Pechenizkiy
- 25 Sept 2024 (modified: 23 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning
Heshan Devaka Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Looking beyond the surface with Contrastive LEarning with Anti-contrastive Regularization (CLEAR)
Minghui Sun, Benjamin Goldstein, Matthew M. Engelhard
- 25 Sept 2024 (modified: 18 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
Huimu Yu, Xing W, Weidong Yin, Songlin Hu
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Enhancing Adversarial Robustness Through Robust Information Quantities
EN-HUI YANG, Renhao Tan
- 25 Sept 2024 (modified: 29 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Gradient Flow Provably Learns Robust Classifiers for Data from Orthonormal Clusters
Hancheng Min, Rene Vidal
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Accumulator-Aware Post-Training Quantization for Large Language Models
Ian Colbert, Giuseppe Franco, Fabian Grob, Jinjie Zhang, Rayan Saab
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Parallel simulation for sampling under isoperimetry and score-based diffusion models
Huanjian Zhou, Masashi Sugiyama
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
- 25 Sept 2024 (modified: 27 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Spectro-Riemannian Graph Neural Networks
Karish Grover, Haiyang Yu, Xiang song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
CBMA: Improving Conformal Prediction through Bayesian Model Averaging
Pankaj Bhagwat, Linglong Kong, Bei Jiang
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
Qianru Zhang, Chenglei Yu, Haixin Wang, Yudong Yan, Yuansheng Cao, Hongzhi Yin, Siu Ming Yiu, Tailin Wu
- 24 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
ParallelSpec: Parallel Drafter for Efficient Speculative Decoding
Zilin Xiao, Hongming Zhang, Tao Ge, Siru Ouyang, Vicente Ordonez, Dong Yu
- 24 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang, Fanbo Xiang, Hao Su
- Published: 22 Jan 2025, Last Modified: 11 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
- Published: 22 Jan 2025, Last Modified: 14 May 2025
- ICLR 2025 Poster
- Readers: Everyone