ICLR

Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen

Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian Theis

Comments 41 pages, 22 figures

Journal ref The Thirteenth International Conference on Learning Representations (2025)

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

Comments 43 pages, 17 figures

Journal ref International Conference on Learning Representations, 2025 https://openreview.net/forum?id=yVGGtsOgc7

On Large Language Model Continual Unlearning

Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu

Comments This paper has been accepted by ICLR 2025. The first two authors contribute equally and they are ordered alphabetically

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation

Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An

Comments Camera ready version of ICLR 2025

Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later

Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao

Comments Accepted to ICLR 2025

ACES: Automatic Cohort Extraction System for Event-Stream Datasets

Justin Xu, Jack Gallifant, Alistair E. W. Johnson, Matthew B. A. McDermott

Comments [ICLR 2025] For the latest ACES online documentation, please see https://eventstreamaces.readthedocs.io/en/latest/

Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning

Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Avinava Dubey, Snigdha Chaturvedi

Comments Accepted at ICLR 2025

Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations

Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez

Comments Accepted at ICLR 2025

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

Comments Paper accepted to ICLR 2025

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Zhepei Wei, Wei-Lin Chen, Yu Meng

Comments ICLR 2025. Code: https://github.com/weizhepei/InstructRAG

Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics

Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun

Comments Accepted at ICLR 2025 as oral presentation

Contrastive Learning from Synthetic Audio Doppelgängers

Manuel Cherep, Nikhil Singh

Comments Accepted to ICLR 2025

ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints

Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Tran Cao Son, Chitta Baral

Comments Accepted in ICLR 2025

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function

Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen

Comments ICLR 2025

Perturbation-Restrained Sequential Model Editing

Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu

Comments Accepted by ICLR 2025

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

Nikola Zubić, Federico Soldá, Aurelio Sulser, Davide Scaramuzza

Comments 31 page, 4 theorems, 17 figures, 4 tables, ICLR 2025 Camera Ready paper

Journal ref International Conference on Learning Representations (ICLR), Singapore, 2025

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning

Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo

Comments Accepted at ICLR https://iclr.cc/virtual/2025/poster/28508

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders

Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

Comments Accepted by the 13th International Conference on Learning Representations (ICLR 2025)

Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport

Haokai Hong, Wanyu Lin, Kay Chen Tan

Comments Published as a conference paper at ICLR 2025

Node-Time Conditional Prompt Learning In Dynamic Graphs

Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

Comments Accepted by ICLR 2025

Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold

Sixin Zhang

Comments iclr 2025

Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric

Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji

Comments ICLR 2025 (Spotlight)

Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos

Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra

Journal ref ICLR 2025

The Unreasonable Ineffectiveness of the Deeper Layers

Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso, Daniel A. Roberts

Comments 10 + 14 pages, 6 + 5 figures. v2: ICLR camera-ready version; additional experiments in an extended discussion

Prompting Fairness: Integrating Causality to Debias Large Language Models

Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

Comments 24 pages, 10 figures

Journal ref The 13th International Conference on Learning Representations (ICLR 2025)

A Decade's Battle on Dataset Bias: Are We There Yet?

Zhuang Liu, Kaiming He

Comments Published in ICLR 2025 (Oral Presentation)

Human Simulacra: Benchmarking the Personification of Large Language Models

Qiuejie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang

Comments ICLR 2025

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies

Yongxin Guo, Xiaoying Tang, Tao Lin

Comments ICLR 2025

Actionable Neural Representations: Grid Cells from Minimal Constraints

William Dorrell, Peter E. Latham, Timothy E. J. Behrens, James C. R. Whittington

Journal ref Proceedings of the 11th International Conference on Learning Representations, 2023

ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models

Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo

Comments Accepted to ICLR 2025