ICLR 2024 Conference Submissions

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution
Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Maximizing LLMs Potential: Enhancing Mongolian Chinese Machine Translation with RL Agents and Adversarial Multi Knowledge Distillation
Xu Liuxu, YiLa Su, Nier Wu, Yatu Ji, Huinuan Zhang
- 19 Sept 2023 (modified: 06 Mar 2025)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Provably Efficient CVaR RL in Low-rank MDPs
Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
On the Disconnect Between Theory and Practice of Overparametrized Neural Networks
Jonathan Wenger, Felix Dangel, Agustinus Kristiadi
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
3D Object Representation Learning for Robust Classification and Pose estimation
Artur Jesslen, Guofeng Zhang, Angtian Wang, Alan Yuille, Adam Kortylewski
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Flexible Residual Binarization for Image Super-Resolution
Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding and Controlling a Maze-Solving Policy Network
Ulisse Mini, peli grietzer, Mrinank Sharma, Austin Meek, Monte MacDiarmid, Alexander Matt Turner
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RayE-Sub: Countering Subgraph Degradation via Perfect Reconstruction
Kuo Yang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Limin Li, Yang Wang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FedDecay: Adapting to Data Heterogeneity in Federated Learning With Gradient Decay
Joseph Lavond, Minhao Cheng, Yao Li
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A Hierarchical Bayesian Model for Few-Shot Meta Learning
Minyoung Kim, Timothy Hospedales
- Published: 16 Jan 2024, Last Modified: 07 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
SubDiff: Subgraph Latent Diffusion Model
Kuo Yang, Zhengyang Zhou, Limin Li, Pengkun Wang, Xu Wang, Yang Wang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Can Transformers Capture Spatial Relations between Objects?
Chuan Wen, Dinesh Jayaraman, Yang Gao
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
How Does RLHF Shift Behavior Distributions? Distinguishability and Steerability
Benjamin David Hayum, Quentin Feuillade Montixi, Yixuan Li
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andres Almansa, Ulugbek Kamilov
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption
Zhuoyuan Wu, Jiachen Sun, Chaowei Xiao
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
WANG Jiaxu, Ziyi Zhang, Renjing Xu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
SHIH-YING YEH, Yu-Guan Hsieh, Zhidong Gao, Bernard B W Yang, Giyeong Oh, Yanmin Gong
- Published: 16 Jan 2024, Last Modified: 09 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Enhancing Vision-Language Prompt Learning through Image-Text Distribution Alignment
Dongliang Guo, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Tong Yu, Sheng Li
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models
Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Finite Scalar Quantization: VQ-VAE Made Simple
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
From Language to 3D Worlds: Adapting Language Models for Point Cloud Perception
Yiyuan Zhang, Kaixiong Gong, Yuhao Kang, Xiaohan Ding, Wanli Ouyang, Xiangyu Yue
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, Marc Lelarge
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Detecting, Explaining, and Mitigating Memorization in Diffusion Models
Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 oral
- Readers: Everyone