ICLR 2024 Conference Submissions

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How connectivity structure shapes rich and lazy learning in neural circuits
Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Todd SheaBrown, Guillaume Lajoie
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Federated Virtual Learning on Heterogeneous Data with Local-global Distillation
Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli
- Published: 16 Jan 2024, Last Modified: 21 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
AutoLoRa: An Automated Robust Fine-Tuning Framework
Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Collaborative World Models: An Online-Offline Transfer RL Approach
Qi Wang, Junming Yang, Yunbo Wang, Xin Jin, Wenjun Zeng, Xiaokang Yang
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Denoising Diffusion Step-aware Models
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen
- Published: 16 Jan 2024, Last Modified: 13 Sept 2024
- ICLR 2024 poster
- Readers: Everyone
Learning Rate Re-scheduling for AdaGrad in training Deep Neural Networks
Hongwei Yong
- 16 Sept 2023 (modified: 11 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Code Representation Pre-training with Complements from Program Executions
Jiabo Huang, JIANYU ZHAO, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Towards efficient deep spiking neural networks construction with spiking activity based pruning
Yaxin Li, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan, Qiang Zhang, Qi Xu
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Action Shapley: A training data selection metric for high performance and cost efficient reinforcement learning
Rajat Ghosh, Debojyoti Dutta
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
Yifan Zhang, Jingqin Yang, Zhiquan Tan, Yang Yuan
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C.K. Chan, YANDONG LI, Han Zhang, Huisheng Wang, Tingbo Hou, Boqing Gong, Yu-Chuan Su
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space
Zihan Zhou, Ruiying Liu, Tianshu Yu
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cumulative Reasoning with Large Language Models
Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew C Yao
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Progressive Fusion for Multimodal Integration
Shiv Shankar, Laure Thompson, Madalina Fiterau
- 16 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A/B testing under Identity Fragmentation
Shiv Shankar, Ritwik Sinha, Saayan Mitra, Madalina Fiterau
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring the Impact of Information Entropy Change in Learning Systems
Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Domain Adaptation
Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
3D Reconstruction with Generalizable Neural Fields using Scene Priors
Yang Fu, Shalini De Mello, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang, Sifei Liu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
Xiu-Chuan Li, Kun Zhang, Tongliang Liu
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning
Yixiang Shan, Zhengbang Zhu, Ting Long, Yi Chang, Weinan Zhang
- 16 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone