ICLR 2024 Conference Submissions

TADIS: Steering Models for Deep-Thinking about Demonstration Examples
Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin
- Published: 16 Jan 2024, Last Modified: 26 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learn What You Need in Personalized Federated Learning
Kexin Lv, Rui Ye, Xiaolin Huang, JIE YANG, Siheng Chen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SENSITIVITY-INFORMED REGULARIZATION FOR OFFLINE BLACK-BOX OPTIMIZATION
Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang
- 23 Sept 2023 (modified: 01 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid, Prathosh AP, N M Anoop Krishnan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SketchEdit: Editing Freehand Sketches At The Stroke-Level
Tengjie Li, Shikui Tu, Lei Xu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Wu Ran, Peirong Ma, Zhiquan He, Hao Ren, Hong Lu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Generalization or Specificity? Spectral Meta Estimation and Ensemble (SMEE) with Domain-specific Experts
Siyang Li, Ziwei Wang, Dongrui Wu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
$\beta$-DQN: Diverse Exploration via Learning a Behavior Function
Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, bo xu, Martin Müller
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HP$^3$-NS: Hybrid Perovskite Property Prediction Using Nested Subgraph
Longhan Zhang, Temesgen Muruts Weldengus, Ruixuan Song, Zhaoliang Lei, Haowen Wang, Yiteng Zhai, Jing Jiang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Early Weight Averaging Meets High Learning Rates for LLM Pre-training
Sunny Sanyal, Atula Tejaswi Neerkaje, Jean Kaddour, Abhishek Kumar, sujay sanghavi
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
Thiziri Nait Saada, Alireza Naderi, Jared Tanner
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Privacy at Interpolation: Precise Analysis for Random and NTK Features
Simone Bombari, Marco Mondelli
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
K.R. Zentner, Ujjwal Puri, Zhehui Huang, Gaurav S. Sukhatme
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
What do vision transformers learn? A visual exploration
Hamid Kazemi, Amin Ghiasi, Eitan Borgnia, Steven Reich, Manli Shu, Micah Goldblum, Andrew Gordon Wilson, Tom Goldstein
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Black-Box Gradient Matching for Reliable Offline Black-Box Optimization
Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mitigating Mode Collapse in Sequential Disentanglement via an Architecture Bias
Nimrod Berman, Ilan Naiman, Gal Fadlon, Idan Arbiv, Omri Azencot
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Addition in Transformers
Philip Quirke, Fazl Barez
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, William Overman, Ioannis Panageas, Georgios Piliouras
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Understanding Factual Knowledge of Large Language Models
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
New recipes for graph anomaly detection: Forward diffusion dynamics and graph generation
Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dual-target Point Cloud Registration Using Representative Overlapping Points
Zhifeng Rao, Yuang Chen, Ming Cao, Zhiyun Lin
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone