ICLR 2024 Conference Submissions

Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
Kaylee Burns, Ajinkya Jain, Keegan Go, Fei Xia, Michael Stark, Stefan Schaal, Karol Hausman
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Learning with Orthogonal Weights and Knowledge Transfer
Zhi Wang, Yanni Li, Bing Liu, Zhongbin Wu, Jiawei Liu
- 23 Sept 2023 (modified: 01 Mar 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Dataset and Benchmark for Copyright Protection from Text-to-Image Diffusion Models
Rui Ma, Qiang Zhou, Bangjun Xiao, Daquan Zhou, Xiuyu Li, Aishani Singh, Yi Qu, Kurt Keutzer, Xiaodong Xie, Jingtong Hu, Zhen Dong, Shanghang Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Unlocking the Potential of Federated Learning for Deeper Models
Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Federated Learning with Local Openset Noisy Labels
Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards a Self-Made Model: Zero-Shot Self-Supervised Purification for Adversarial Attacks
Xiuli Bi, Zonglin Yang, Bo Liu, Bin Xiao, Weisheng Li, Chi-Man Pun, Pietro Lio
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PINA: a PyTorch Framework for Deep Differential Equation Learning for Research and Production Environments
Dario Coscia, Nicola Demo, Gianluigi Rozza
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies
Guilherme Henrique Galelli Christmann, Ying-Sheng Luo, Hanjaya Mandala, Wei-Chao Chen
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Cost-Efficient Federated Multi-Agent Reinforcement Learning with Learnable Aggregation
Yi Zhang, Sen Wang, Zhi Chen, Xuwei Xu, Stano Funiak, Frank de Hoog, Jiajun Liu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improved Function Space Variational Inference with Informative Priors
Yohan Jung, Juho Lee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Performance Adjustment for Federated Learning Marketplace
Liuyi Yao, Zitao Li, Weirui Kuang, Yaliang Li, Bolin Ding
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A counterfactual-based approach to prevent crowding in intelligent subway systems
Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, maurizio mongelli
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
Tokio Kajitsuka, Issei Sato
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Grokking Tickets: Lottery Tickets Accelerate Grokking
Minegishi Gouki, Yusuke Iwasawa, Yutaka Matsuo
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
OfflineLight: An Offline Reinforcement Learning Model for Traffic Signal Control
Qiang Wu, Mingyuan Li, Jun Shen, Bo Du, Hongling Zheng, Jiahao Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Temperature Enhanced Dual-level Hypergraph Contrastive Learning
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Offline Reward Inference on Graph: A New Thinking
Bohao Qu, Xiaofeng Cao, Yonggang Zhang, Hechang Chen, Qing Guo, Yi Chang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Change of Heart: Backdoor Attacks on Security-Centric Diffusion Models
Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Ting Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generalizing Poincaré Policy Representations in Multi-agent Reinforcement Learning
Bohao Qu, Xiaofeng Cao, Zhen Fang, Qing Guo, Yi Chang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Framework for PromptOps in GenAI Application Development Lifecycle
ChengHo Wu, Chih-Yu Chou, Hsin Pang Tsai
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone