ICLR 2024 Conference Submissions

HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision-Language Models for Detailed Caption
Bohan Zhai, Shijia Yang, Xiangchen Zhao, Chenfeng Xu, Sheng Shen, Dongdi Zhao, Kurt Keutzer, Manling Li, Tan Yan, Xiangjun Fan
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interpreting the Inner Mechanisms of Large Language Models in Mathematical Addition
Wei Zhang, Wan Chaoqun, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Correlated Attention in Transformers for Multivariate Time Series
Quang Minh Nguyen, Lam M. Nguyen, Subhro Das
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bridging the Domain Gap by Clustering-based Image-Text Graph Matching
Nokyung Park, Daewon Chae, Jeongyong Shim, Sangpil Kim, Eun-Sol Kim, Jinkyu Kim
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Cross-domain Recommendation from Implicit Feedback
Jinhao Li, Mengjia Wu, Yi Zhang, Ying Ding, Yizhou Sun, Feng Liu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Masked Pretraining for Multi-Agent Decision Making
Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Object-Aware Inversion and Reassembly for Image Editing
Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Byzantine-Robust Dynamic Weighted Aggregation Framework for Optimal Attack Mitigation in Federated Learning
K Naveen Kumar, Vishnu Chalavadi, Srinivasa Rao Chalamala, Ajeet Kumar Singh, C Krishna Mohan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CONTROL: A Contrastive Learning Framework for Open World Semi-Supervised Learning
Jingyi Cui, Yi-Ge Zhang, Yisen Wang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conformal Normalization in Recurrent Neural Network of Grid Cells
Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, YILEI LI, qiang liu, Zhangyang Wang, Vikas Chandra
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in Reinforcement Learning
Miguel Suau, Matthijs T. J. Spaan, Frans A Oliehoek
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning
Xu Liu, Tong Yu, Shuai Li
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Graph Neural Networks for Multivariate Time-Series Forecasting via Learning Hierarchical Spatiotemporal Dependencies
Zhou Zhou, Ronisha Basker, Dit-Yan Yeung
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, YILEI LI, qiang liu, Zhangyang Wang, Vikas Chandra
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
How Neural Networks With Derivative Labels Work: A Neural Tangent Kernel Perspective
Yuanqu Mou, zhenbin Wu, Chang Gou, Haiyang Bai, Jia Liu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Hritik Bansal, John Dang, Aditya Grover
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models
Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval
Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Sample-Efficient Multi-Agent RL: An Optimization Perspective
Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Tactics of Robust Deep Reinforcement Learning with Randomized Smoothing
Chung-En Sun, Sicun Gao, Tsui-Wei Weng
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Minimum width for universal approximation using ReLU networks on compact domain
Namjun Kim, Chanho Min, Sejun Park
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
UNLEARNING THE UNWANTED DATA FROM A PERSONALIZED RECOMMENDATION MODEL
Narayan Chaturvedi, Brijraj Singh, Niranjan Pedanekar
- 21 Sept 2023 (modified: 06 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone