ICLR 2025 Conference Submissions

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
- Published: 22 Jan 2025, Last Modified: 02 May 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
Changmin Yu, Maneesh Sahani, Máté Lengyel
- Published: 22 Jan 2025, Last Modified: 26 Mar 2025
- ICLR 2025 Spotlight
- Readers: Everyone
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
Muthu Chidambaram, Rong Ge
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Xuandong Zhao, Lei Li, Yu-Xiang Wang
- Published: 22 Jan 2025, Last Modified: 26 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
ECGN: A CLUSTER-AWARE APPROACH TO GRAPH NEURAL NETWORKS FOR IMBALANCED CLASSIFICATION.
Bishal Thapaliya, Anh Nguyen, Yao Lu, Tian Xie, Igor Grudetskyi, Fudong Lin, Antonios Valkanas, Jingyu Liu, Deepayan Chakrabarti, Bilel Fehri
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Neocortical cell type classification from electrophysiology recordings using deep neural networks
Raymond L Wang, Sang Min Han, Marta Agnieszka Gajowa, Chunlei Liu
- 25 Sept 2024 (modified: 04 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Online Decision Deferral under Budget Constraints
Mirabel Reid, Tom Sühr, Claire Vernade, Samira Samadi
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
DDIL: Improved Diffusion Distillation with Imitation Learning
Risheek Garrepalli, Shweta Mahajan, Munawar Hayat, Fatih Porikli
- 25 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle Bitterman, Fei Wang, Kai Shu
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
Lei Chen, Joan Bruna, Alberto Bietti
- Published: 22 Jan 2025, Last Modified: 03 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
DIPPER: Direct Preference Optimization for Primitive-Enabled Hierarchical Reinforcement Learning
Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Derrik E. Asher, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi
- 25 Sept 2024 (modified: 18 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Model predictive control is almost optimal for restless bandits
Dheeraj Narasimha, Nicolas Gast
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Proxy Denoising for Source-Free Domain Adaptation
Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Dr. Zhang, Xiatian Zhu
- Published: 22 Jan 2025, Last Modified: 02 May 2025
- ICLR 2025 Oral
- Readers: Everyone
Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
Andy K Zhang, Neil Perry, Riya Dulepet, Joey Ji, Celeste Menders, Justin W Lin, Eliot Jones, Gashon Hussein, Samantha Liu, Donovan Julian Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Haoxiang Yang, Aolin Zhang, Rishi Alluri, Nathan Tran et al. (5 additional authors not shown)
- Published: 22 Jan 2025, Last Modified: 11 Feb 2025
- ICLR 2025 Oral
- Readers: Everyone
Selective State-Space Modeling of Correlation Maps for Semantic Correspondence
Seungwook Kim, Minsu Cho
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
Xufeng Cai, Jelena Diakonikolas
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay P. Namboodiri
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Image and Video Tokenization with Binary Spherical Quantization
Yue Zhao, Yuanjun Xiong, Philipp Kraehenbuehl
- Published: 22 Jan 2025, Last Modified: 26 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Enhancing Dataset Distillation with Concurrent Learning: Addressing Negative Correlations and Catastrophic Forgetting in Trajectory Matching
Kuan Li, Shuai Wang, Minhao Cheng
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Long-Term Fairness in Reinforcement Learning with Bisimulation Metrics
Sahand Rezaei-Shoshtari, Hanna Yurchyk, Scott Fujimoto, Doina Precup, David Meger
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
- Published: 22 Jan 2025, Last Modified: 14 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
Noah Amsel, Gilad Yehudai, Joan Bruna
- Published: 22 Jan 2025, Last Modified: 03 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
Dalin Qin, Yehui Li, Weiqi Chen, Zhaoyang Zhu, Qingsong Wen, Liang Sun, Pierre Pinson, Yi Wang
- 25 Sept 2024 (modified: 28 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
On Provable Length and Compositional Generalization
Kartik Ahuja, Amin Mansouri
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Why Fine-Tuning Struggles with Forgetting in Machine Unlearning? Theoretical Insights and a Remedial Approach
Meng Ding, Jinhui Xu, Kaiyi Ji
- 25 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone