ICLR 2024 Conference Submissions

DIRECTIONALITY IN GRAPH TRANSFORMERS
Qitong Wang, Georgios Kollias, Vasileios Kalantzis, Naoki Abe, Mohammed J Zaki
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Latent Conservative Objective Models for Offline Data-Driven Crystal Structure Prediction
Han Qi, Stefano Rando, Xinyang Geng, Iku Ohama, Aviral Kumar, Sergey Levine
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Explaining the Out-of-Distribution Detection Paradox through Likelihood Peaks
Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul G Krishnan, Gabriel Loaiza-Ganem
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
The Trickle-down Impact of Reward Inconsistency on RLHF
Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu
- Published: 16 Jan 2024, Last Modified: 30 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks
Katarzyna Michałowska, Somdatta Goswami, George Em Karniadakis, Signe Riemer-Sørensen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Non-stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling
Zheqing Zhu, Yueyang Liu, Kuang Xu, Benjamin Van Roy
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Depth From Camera Model
Praveen Kamasani, Jinchang Zhang, Xue Iuan Wong, Guoyu Lu
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Deep probabilistic 3D angular regression for directional dark matter detectors
Majd Ghrear, Peter Sadowski, Sven Einar Vahsen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unsupervised Sign Language Translation and Generation
Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
Yijiang Pang, Bao Hoang, Jiayu Zhou
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Decompose Time and Frequency Dependencies: Multivariate Time Series Physiological Signal Emotion Recognition
Ziqing Yang, Houwei Cao
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation
Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Graph Learning for Thermal Analysis of Composite Materials under Interface Variations
Jingbo Sun, Zhenyu Wang, Frank Liu, Vidya Chhabria, Yu Cao
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Stochastic two points method for deep model gradient free optimization
Yijiang Pang, Jiayu Zhou
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Ramin Hasani, Mathias Lechner, Daniela Rus
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Logic-Based Adaptive Reward Shaping for Reinforcement Learning
Minjae Kwon, Ingy Elsayed-Aly, Lu Feng
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Revisitng graph neural networks for traffic forecasting
Weiheng Zhong, Hadi Meidani
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Neural Collapse meets Differential Privacy: Curious behaviors of NoisySGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie J Su, Yu-Xiang Wang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Modulation for Vision Networks
Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Pre-training LiDAR-based 3D Object Detectors through Colorization
Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z Luo, Yurong You, Mark Campbell, Kilian Q Weinberger, Bharath Hariharan, Wei-Lun Chao
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
An Emulator for Fine-tuning Large Language Models using Small Language Models
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D Manning
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Toward Student-oriented Teacher Network Training for Knowledge Distillation
Chengyu Dong, Liyuan Liu, Jingbo Shang
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone