ICLR 2025 Conference Submissions

The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
Xiaoyi MAI, Zhenyu Liao
- Published: 22 Jan 2025, Last Modified: 15 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Spurious Privacy Leakage in Neural Networks
Chenxiang Zhang, Jun Pang, Sjouke Mauw
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images
Canfer Akbulut, Kevin Robinson, Maribeth Rauh, Isabela Albuquerque, Olivia Wiles, Laura Weidinger, Verena Rieser, Yana Hasson, Nahema Marchal, Iason Gabriel, William Isaac, Lisa Anne Hendricks
- Published: 22 Jan 2025, Last Modified: 03 Mar 2025
- ICLR 2025 Spotlight
- Readers: Everyone
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
Qingming LIU, Yuan Liu, Jiepeng Wang, Xianqiang Lyu, Peng Wang, Wenping Wang, Junhui Hou
- Published: 22 Jan 2025, Last Modified: 31 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
A bird's eye view on informed classification
Arthur Ledaguenel, CELINE HUDELOT, Mostepha Redouane Khouadjia
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth
- 16 Sept 2024 (modified: 11 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Differentiable Solver Search for fast diffusion sampling
Shuai Wang, Zexian Li, Qipeng zhang, Tianhui Song, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
UnSTAR: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
Yash Sinha, Murari Mandal, Mohan Kankanhalli
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Combining Analytical Smoothing with Surrogate Losses for Improved Decision-Focused Learning
Jayanta Mandi, Ali İrfan Mahmutoğulları, Tias Guns
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods
Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander Bronstein, Chaim Baskin
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
Yingwei Zhang, ke Bu, Detao Lv, Yao Yu, Dong Li, Yiqiang Chen
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
HaDeMiF: Hallucination Detection and Mitigation in Large Language Models
Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang
- Published: 22 Jan 2025, Last Modified: 17 May 2025
- ICLR 2025 Poster
- Readers: Everyone
VR-Sampling: Accelerating Flow Generative Model Training with Variance Reduction Sampling
Jiachun Pan, Xingyu Xie, Hanwang Zhang, Shuicheng YAN
- 16 Sept 2024 (modified: 16 Feb 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
Farshed Abdukhakimov, XIANG CHULU, Dmitry Kamzolov, Robert M. Gower, Martin Takáč
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Informed Mixing -- Improving Open Set Recognition with Deep Dynamic Data Augmentation
Jiawen Xu, Margret Keuper
- 16 Sept 2024 (modified: 03 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Correlations Are Ruining Your Gradient Descent
Nasir Ahmad
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
Yuxuan Yao, Han Wu, Mingyang LIU, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song
- Published: 22 Jan 2025, Last Modified: 26 Feb 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection
Xinhao Cai, Qiuxia Lai, Wenguan Wang, Yazhou Yao
- 16 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
See What You Are Told: Visual Attention Sink in Large Multimodal Models
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Interpretable Surrogate Models: A Clustering Approach for Gaussian Process Posteriors Using Mixed-Integer Quadratic Programming
Yuta Shikuri
- 16 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Measuring and Improving Robustness of Deep Neural Networks
Lee Yew Chuan Michael, Bingquan Shen
- 16 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Selective Concept Bottleneck Models Without Predefined Concepts
Simon Schrodi, Julian Schur, Max Argus, Thomas Brox
- 16 Sept 2024 (modified: 20 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
Jincheng Zhong, XiangCheng Zhang, Jianmin Wang, Mingsheng Long
- Published: 22 Jan 2025, Last Modified: 13 May 2025
- ICLR 2025 Poster
- Readers: Everyone