ICLR

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach

Christian Fabian, Kai Cui, Heinz Koeppl

Comments accepted at ICLR 2024

Adversarial Feature Map Pruning for Backdoor

Dong Huang, Qingwen Bu

Comments Accepted to ICLR 2024

Contrastive Learning Is Spectral Clustering On Similarity Graph

Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan

Comments ICLR 2024; We express our gratitude to the anonymous reviewers for their valuable feedback

Recursive Generalization Transformer for Image Super-Resolution

Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang

Comments Accepted to ICLR 2024. Code is available at https://github.com/zhengchen1999/RGT

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning

Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang

Comments Published at ICLR 2024. 54 pages

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior

Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl

Comments Accepted to ICLR 2024

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau

Comments ICLR 2024. 26 pages, 13 figures. Code and data at https://finetuning.baulab.info/

GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion

Xueyi Liu, Li Yi

Comments Accepted to ICLR 2024. Project website: https://meowuu7.github.io/GeneOH-Diffusion/; Huggingface Demo: https://huggingface.co/spaces/xymeow7/gene-hoi-denoising; Code: https://github.com/Meowuu7/GeneOH-Diffusion

Journal ref ICLR 2024

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning

Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn

Comments ICLR 2024

Robust Training of Federated Models with Extremely Label Deficiency

Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han

Comments ICLR 2024, 22 pages

Graph Parsing Networks

Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin

Comments Published as a conference paper at ICLR 2024

A differentiable brain simulator bridging brain simulation and brain-inspired computing

Chaoming Wang, Tianqiu Zhang, Sichao He, Hongyaoxing Gu, Shangyang Li, Si Wu

Comments 23 pages, 11 figures, ICLR 2024

Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang

Comments ICLR 2024

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao

Comments Published as a conference paper at ICLR 2024

Large Language Models Are Not Robust Multiple Choice Selectors

Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

Comments ICLR 2024 Spotlight

Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Shahriar Golchin, Mihai Surdeanu

Comments Published at ICLR 2024 as a Spotlight paper (notable top 5%)

DP-SGD Without Clipping: The Lipschitz Neural Network Way

Louis Bethune, Thomas Massena, Thibaut Boissin, Yannick Prudent, Corentin Friedrich, Franck Mamalet, Aurelien Bellet, Mathieu Serrurier, David Vigouroux

Comments 46 pages, published at International Conferences on Learning Representations (ICLR), 2024

Dynamic Sparse Training with Structured Sparsity

Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou

Comments ICLR 2024, 29 pages, 22 figures

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann

Comments Published in ICLR 2023

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel

Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed Abdelfattah, Zhiru Zhang

Comments Accepted to ICLR Tiny Papers 2024

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images

Nicholas Konz, Maciej A. Mazurowski

Comments ICLR 2024. Code: https://github.com/mazurowski-lab/intrinsic-properties

Denoising Task Routing for Diffusion Models

Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim

Comments ICLR 2024

Understanding In-Context Learning from Repetitions

Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang

Comments Accepted by ICLR 2024. Updated with new experiments and results

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen

Comments ICLR 2024; First two authors equal contribution

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li

Comments ICLR 2024

Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models

Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang

Comments accepted by ICLR 2024, project page at https://mzhaoshuai.github.io/RLCF/, code is at https://github.com/mzhaoshuai/RLCF

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing

Comments Accepted by ICLR 2024

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen

Comments ICLR 2024

Reward Bound for Behavioral Guarantee of Model-based Planning Agents

Zhiyu An, Xianzhong Ding, Wan Du

Comments To be published in ICLR 24 tiny paper track

Scaling physics-informed hard constraints with mixture-of-experts

Nithin Chalapathi, Yiheng Du, Aditi Krishnapriyan

Comments Accepted to the International Conference on Learning Representations (ICLR) 2024