ICLR

Explaining RL Decisions with Trajectories

Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian

Comments Published at International Conference on Learning Representations (ICLR), 2023

Exploring Diffusion Time-steps for Unsupervised Representation Learning

Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang

Comments Accepted by ICLR 2024

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE

Haonan Yu, Wei Xu

Comments ICLR 2024

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions

Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu

Comments To appear in the Twelfth International Conference on Learning Representations (ICLR 2024)

Concrete Problems in AI Safety, Revisited

Inioluwa Deborah Raji, Roel Dobbe

Comments Published at ICLR workshop on ML in the Real World, 2020

Universal Backdoor Attacks

Benjamin Schneider, Nils Lukas, Florian Kerschbaum

Comments Accepted for publication at ICLR 2024

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

Comments 116 pages, 120 figures. Accepted to ICLR 2024

GenSim: Generating Robotic Simulation Tasks via Large Language Models

Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang

Comments See our project website (https://liruiw.github.io/gensim), demo and datasets (https://huggingface.co/spaces/Gen-Sim/Gen-Sim), and code (https://github.com/liruiw/GenSim) for more details

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

Leveraging Optimization for Adaptive Attacks on Image Watermarks

Nils Lukas, Abdulrahman Diaa, Lucas Fenaux, Florian Kerschbaum

Comments ICLR'24

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Yu Qiao, Xiao-Ming Wu, Chao Dong

Comments ICLR 2024, Spotlight. The source code is available at https://github.com/XPixelGroup/SEAL

Dual Associated Encoder for Face Restoration

Yu-Ju Tsai, Yu-Lun Liu, Lu Qi, Kelvin C. K. Chan, Ming-Hsuan Yang

Comments ICLR 2024, Project page: https://liagm.github.io/DAEFR/

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation

Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille

Comments 36 pages, 9 figures, 50 tables; ICLR 2024 (Poster)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

Comments ICLR 2024, 30pages, 11 figures

Symbol as Points: Panoptic Symbol Spotting via Point-based Representation

Wenlong Liu, Tianyu Yang, Yuhan Wang, Qizhi Yu, Lei Zhang

Comments ICLR 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning

Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Xinglin Wang, Bin Sun, Heda Wang, Kan Li

Comments ICLR 2024

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng

Comments Accepted to ICLR 2024, Spotlight top 5%, 24 pages. This work will be open sourced at: https://github.com/YUCHEN005/RobustGER under MIT license

Path Choice Matters for Clear Attribution in Path Methods

Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu

Comments ICLR 2024 accepted

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

Comments Accepted to ICLR 2024

Neural Spectral Methods: Self-supervised learning in the spectral domain

Yiheng Du, Nithin Chalapathi, Aditi Krishnapriyan

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

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai

Comments ICLR 2024

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition

Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon

Comments Accepted at ICLR 2024. Project page: https://universal-ner.github.io/

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An

Comments ICLR 2024. Project page: https://ltzheng.github.io/Synapse

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy

Comments Accepted at ICLR 2024

Choreographer: Learning and Adapting Skills in Imagination

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

Comments Accepted at ICLR 2023 (notable top 25%)

GPAvatar: Generalizable and Precise Head Avatar from Image(s)

Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada

Comments ICLR 2024, code is available at https://github.com/xg-chu/GPAvatar

Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models

Yangming Li, Boris van Breugel, Mihaela van der Schaar

Comments Accepted by ICLR-2024

On Error Propagation of Diffusion Models

Yangming Li, Mihaela van der Schaar

Comments Accepted by ICLR-2024

Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks

Jie Hu, Vishwaraj Doshi, Do Young Eun

Comments Accepted for oral presentation at the Twelfth International Conference on Learning Representations (ICLR 2024)

Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis

Jie Hao, Xiaochuan Gong, Mingrui Liu

Comments Accepted by ICLR 2024, Spotlight

Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping

Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang

Comments Accepted at ICLR 2024. Project page: https://fudan-zvg.github.io/PGC-3D