ICLR

OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference

Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan

Comments ICLR 2025 (main conference)

MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation

Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

Comments ICLR 2025

MLPs Learn In-Context on Regression and Classification Tasks

William L. Tong, Cengiz Pehlevan

Comments Published at ICLR 2025. 30 pages, 10 figures, code available at https://github.com/wtong98/mlp-icl

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models

Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

Comments ICLR 2025

Towards Certification of Uncertainty Calibration under Adversarial Attacks

Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi

Comments 10 pages main paper, appendix included Published at: International Conference on Learning Representations (ICLR) 2025

Journal ref International Conference on Learning Representations (ICLR) 2025

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation

Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu Li, Feiyu Xiong, Bo Tang, Ding Chen

Comments Accepted by ICLR 2025

Following the Human Thread in Social Navigation

Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso

Comments Accepted at ICLR 2025 as a Spotlight Paper

You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs

Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang

Comments ICLR 2025

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Chaitanya K. Joshi, Arian R. Jamasb, Ramon Viñas, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Liò

Comments ICLR 2025 camera-ready version (Spotlight presentation). Previously titled 'Multi-State RNA Design with Geometric Multi-Graph Neural Networks', presented at ICML 2023 Computational Biology Workshop

The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG

Francesco Stefano Carzaniga, Gary Tom Hoppeler, Michael Hersche, Kaspar Anton Schindler, Abbas Rahimi

Comments Published at ICLR 2025, see https://openreview.net/forum?id=b57IG6N20B. Code is available at https://github.com/IBM/eeg-ieeg-brain-compressor

Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data

Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu

Comments Accepted by ICLR 2025. Code: https://github.com/sycny/SelfSynthX

On the Benefits of Attribute-Driven Graph Domain Adaptation

Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling

Comments Accepted by the ICLR 2025

DisPose: Disentangling Pose Guidance for Controllable Human Image Animation

Hongxiang Li, Yaowei Li, Yuhang Yang, Junjie Cao, Zhihong Zhu, Xuxin Cheng, Long Chen

Comments ICLR 2025

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers

Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

Comments Accepted by ICLR 2025, 29 pages, 13 figures

Journal ref International Conference on Learning Representations, 2025

TLDR: Token-Level Detective Reward Model for Large Vision Language Models

Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen

Comments Published as a conference paper at ICLR 2025

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

Comments ICLR 2025 (Spotlight). We open-source the model at: https://huggingface.co/nvidia/NV-Embed-v2

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs

Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski

Comments Published as a conference paper at ICLR 2025. Code at: https://github.com/saccharomycetes/mllms_know

Reasoning with Latent Thoughts: On the Power of Looped Transformers

Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi

Comments ICLR 2025

Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting

Chong Cheng, Gaochao Song, Yiyang Yao, Qinzheng Zhou, Gangjian Zhang, Hao Wang

Comments ICLR 2025

VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing

Xiangpeng Yang, Linchao Zhu, Hehe Fan, Yi Yang

Comments ICLR 2025, code and demos are available at https://knightyxp.github.io/VideoGrain_project_page/

Adversarial Training for Defense Against Label Poisoning Attacks

Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach

Comments Accepted at the International Conference on Learning Representations (ICLR 2025)

Improved Diffusion-based Generative Model with Better Adversarial Robustness

Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

Comments ICLR 2025

Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization

Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu

Comments Published at ICLR 2025

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images

Yubo Wang, Jianting Tang, Chaohu Liu, Linli Xu

Comments Accepted to ICLR 2025

AgentRefine: Enhancing Agent Generalization through Refinement Tuning

Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu

Comments ICLR 2025

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

Comments ICLR 2025 Oral, NeurIPS 2024 Workshops on Adaptive Foundation Models (AFM) and Open World Agents (OWA), 30 pages

Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models

Jungwon Park, Jungmin Ko, Dongnam Byun, Jangwon Suh, Wonjong Rhee

Comments Accepted by ICLR 2025

DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models

Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang

Comments Accepted by ICLR 2025

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew Comport, Valerie Gouet-Brunet

Comments Accepted at ICLR 2025. Available at https://openreview.net/forum?id=LTDtjrv02Y

On the Role of Attention Heads in Large Language Model Safety

Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

Comments 28 pages, 18 figures, 7 tables. This paper has been accepted as ICLR 2025 (oral)