ICLR

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model

Zihan Zhong, Zhiqiang Tang, Tong He, Haoyang Fang, Chun Yuan

Comments Accepted at ICLR 2024 Conference

PF-GNN: Differentiable particle filtering based approximation of universal graph representations

Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee

Comments Published as a conference paper at ICLR 2022

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow

Hanyu Zhou, Yi Chang, Haoyue Liu, Wending Yan, Yuxing Duan, Zhiwei Shi, Luxin Yan

Journal ref International Conference on Learning Representations (ICLR), 2024

MT-Ranker: Reference-free machine translation evaluation by inter-system ranking

Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin

Comments 18 pages, 4 figures, to be published in ICLR'24, Code available at https://github.com/ibraheem-moosa/mt-ranker

Multi-granularity Correspondence Learning from Long-term Noisy Videos

Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng

Comments Accepted by ICLR 2024 (oral)

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain

Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Dehua Zheng, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

Comments Accepted at ICLR 2024. arXiv admin note: text overlap with arXiv:2304.11632

FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Haonan Qiu, Menghan Xia, Yong Zhang, Yingqing He, Xintao Wang, Ying Shan, Ziwei Liu

Comments ICLR 2024, Project Page: http://haonanqiu.com/projects/FreeNoise.html, Code Repo: https://github.com/AILab-CVC/FreeNoise

Equivariant Matrix Function Neural Networks

Ilyes Batatia, Lars L. Schaaf, Huajie Chen, Gábor Csányi, Christoph Ortner, Felix A. Faber

Comments International Conference on Learning Representations, 2024

Neural Processing of Tri-Plane Hybrid Neural Fields

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano

Comments Accepted at ICLR 2024

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning

Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav Sukhatme

Comments Accepted as a spotlight paper at ICLR 2024

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian

Comments Accepted by ICLR 2024

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

Yuxue Yang, Lue Fan, Zhaoxiang Zhang

Comments ICLR 2024, code is available at https://github.com/BraveGroup/PointSAM-for-MixSup

CO2: Efficient Distributed Training with Full Communication-Computation Overlap

Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong

Comments ICLR 2024 Spotlight. Yiran Zhong is the corresponding author. Code is available at: https://github.com/OpenNLPLab/CO2

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection

Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu

Comments Accepted in ICLR 2024

Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data

Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi

Comments This paper was accepted for a Spotlight presentation at ICLR 2024

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach

Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan

Comments ICLR 2024 accepted

FedGT: Federated Node Classification with Scalable Graph Transformer

Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu

Comments ICLR 24 submission

Explaining Time Series via Contrastive and Locally Sparse Perturbations

Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

Comments Accepted by International Conference on Learning Representations (ICLR 2024)

Automatic Functional Differentiation in JAX

Min Lin

Comments The Twelfth International Conference on Learning Representations (ICLR 2024)

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs

Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot

Comments Project page: https://allenai.github.io/persona-bias. Paper to appear at ICLR 2024. Added results for other LLMs in v2 (similar findings)

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen

Comments Accepted by the 12th International Conference on Learning Representations (ICLR 2024)

Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?

Tokio Kajitsuka, Issei Sato

Comments ICLR 2024

Adversarial Attacks on Graph Neural Networks via Meta Learning

Daniel Zügner, Stephan Günnemann

Comments ICLR submission

Journal ref International Conference on Learning Representations (ICLR), New Orleans, LA, USA, 2019

Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training

Shruthi Gowda, Bahram Zonooz, Elahe Arani

Comments Accepted as a conference paper at ICLR 2024

GOAt: Explaining Graph Neural Networks via Graph Output Attribution

Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu

Comments ICLR 2024 Poster

ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models

Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

Comments ICLR 2024 (project page: https://ecoflap.github.io/)

Non-Exchangeable Conformal Risk Control

António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins

Comments ICLR 2024

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck

Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling

Comments 10 pages, 15 figures, Accepted ICLR 2024

FedWon: Triumphing Multi-domain Federated Learning Without Normalization

Weiming Zhuang, Lingjuan Lyu

Comments ICLR 2024

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning

Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum

Comments Published as a conference paper (spotlight) at ICLR 2024. 48 pages