ICLR 2024 Conference Submissions

On the Role of Momentum in the Implicit Bias of Gradient Descent for Diagonal Linear Networks
Bochen Lyu, Zhanxing Zhu
- 20 Sept 2023 (modified: 13 Aug 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Staleness-based subgraph sampling for large-scale GNNs training
Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, Shuiwang Ji
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection
Shilin Xu, Xiangtai Li, Size Wu, Wenwei Zhang, Yining Li, Guangliang Cheng, Yunhai Tong, Kai Chen, Chen Change Loy
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
KDGCN: A Kernel-based Double-level Graph Convolution Network for Semi-supervised Graph Classification with Scarce Labels
Chao Ouyang, Haijun Zhang, Jicong Fan
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TOAST: Transfer Learning via Top-Down Attention Steering
Baifeng Shi, Siyu Gai, Trevor Darrell, Xin Wang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving
Kai Cheng, Xiaoxiao Long, Wei Yin, Jin Wang, Zhiqiang Wu, Yuexin Ma, Kaixuan Wang, Xiaozhi Chen, Xuejin Chen
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Image Compression Is an Effective Objective for Visual Representation Learning
Yunjie Tian, Lingxi Xie
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Adapting Large Language Models via Reading Comprehension
Daixuan Cheng, Shaohan Huang, Furu Wei
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Building a Special Representation for the Chinese Ancient Buildings in Diffusion models.
Biao Li, JINYUAN FENG, Yunxi Yan, Gang Kou, Yong Shi, Fan Meng
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adversarial Instance Attacks for Interactions between Human and Object
Liang Muxue, Chuan Wang, Siyuan Liang, Aishan Liu, Zeming Liu, Liang Yang, Xiaochun Cao
- 20 Sept 2023 (modified: 08 Apr 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning
Ziqi Zhang, Xiao Xiong, Zifeng Zhuang, Jinxin Liu, Donglin Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
- Published: 02 Feb 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MVoice: Multilingual Unified Voice Generation With Discrete Representation at Scale
Rongjie Huang, Chunlei Zhang, Yongqi Wang, Dongchao Yang, Jinchuan Tian, Luping Liu, Zhenhui Ye, Ziyue Jiang, Xuankai Chang, Jiatong Shi, CHAO WENG, Zhou Zhao, Dong Yu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Discovering Logic-Informed Intrinsic Rewards to Explain Human Policies
Chengzhi Cao, Yinghao Fu, Lu Wang, Shuang Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-agent Trajectory Prediction with Scalable Diffusion Transformer
Shenyu Zhang, Shixiong Kai, Chang Chen, Yuzheng Zhuang, Zhengbang Zhu, Minghuan Liu, Weinan Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Hybrid Kernel Stein Variational Gradient Descent
Anson MacDonald, Scott A Sisson, Sahani Pathiraja
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Dual Grained Quantization: Efficient Fine-grained Quantization for LLM
Luoming Zhang, Wen Fei, Weijia Wu, Yefei He, Zhenyu Lou, Hong Zhou
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FUND-RELATED GRAPH REPRESENTATION FOR MARGINAL EFFECTIVENESS IN MULTI-FACTORS QUANTITATIVE STRATEGY
Biao Li, Yang Du, Zhichen Lu, Gang Kou, Yunxi Yan, Yong Shi
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
Jiuhai Chen, Jonas Mueller
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Rouzbeh Meshkinnejad, Jie Mei, Daniel J Lizotte, Yalda Mohsenzadeh
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Minimum Edit Distance Training for Conditional Language Generation Models
Munhak Lee, Joon-Hyuk Chang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Consistent Lebesgue Measure for Multi-label Learning
Kaan Demir, Bach Hoai Nguyen, Bing XUE, Mengjie Zhang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
YOLOR-Based Multi-Task Learning
Hung-Shuo Chang, Chien-Yao Wang, Richard Robert Wang, Gene Chou, Hong-Yuan Mark Liao
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone