ICLR 2024 Conference Submissions

Robust Classification via a Single Diffusion Model
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Based on What We Can Control Artificial Neural Networks
Cheng Kang, Xujing Yao
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Offline Opponent Modeling with In-context Learning
Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, QIANG FU, Junliang Xing, Jian Cheng
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Multi-granularity Correspondence Learning from Long-term Noisy Videos
Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, zujie wen, Xi Peng
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols
Xu Luo, Lianli Gao, Jingkuan Song
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Mastering Pixel-Based Reinforcement Learning via Positive Unlabeled Policy-Guided Contrast
Zehua Zang, Jiangmeng Li, Chuxiong Sun, Jiabao Li, Rui Wang, Lixiang Liu, Fuchun Sun
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Lightweight Image Classification Network Based on Feature Extraction Network SimpleResUNet and Attention
Mengnan Qu, Yuhao Jin, Guanghua Zhang
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks
Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Human-in-the-Loop Test-Time Domain Adaptation for Object Detection
Dzung Anh Doan, Bach Long Nguyen, Terry Lim, Madhuka Jayawardhana, Ian Reid, Markus Wagner, Tat-Jun Chin
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Discovering the question-critical moments: Towards building event-aware multi-modal large language models for complex video question answering
Haibo Wang, Weifeng Ge
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan, Lei Feng, Tongliang Liu
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Recursive Generalization Transformer for Image Super-Resolution
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
- Published: 02 Feb 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
Martin Gubri, Maxime Cordy, YVES LE TRAON
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Challenging the Foundations: Mining Hard Test Samples through Diffusion Generation
Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Training Adversarially Robust SNNs with Gradient Sparsity Regularization
Yujia Liu, Tong Bu, Zhaofei Yu, Tiejun Huang
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Revisiting Supervision for Continual Representation Learning
Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartłomiej Twardowski
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
RDBench: ML Benchmark for Relational Databases
Zizhao Zhang, Yi Yang, Lutong Zou, He Wen, Tao Feng, Jiaxuan You
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Lu Yu, Avetik Karagulyan, Arnak S. Dalalyan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li, Ziming Huang, Feng Xue, Yu Zhou
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Realistic Evaluation of Test-Time Adaptation: Surrogate-Based Model Selection Strategies
Sebastian Cygert, Damian Sójka, Tomasz Trzcinski, Bartłomiej Twardowski
- 15 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unveiling Temporal Telltales: Are Unconditional Video Generation Models Implicitly Encoding Temporal Information?
Jaehyun Choi, Gyojin Han, Jiwan Hur, Jae Young Lee, Junmo Kim
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
Kim Youwang, Lee Hyun, Kim Sung-Bin, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh
- 15 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
I-PHYRE: Interactive Physical Reasoning
Shiqian Li, Kewen Wu, Chi Zhang, Yixin Zhu
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone