ICLR 2024 Conference Submissions

Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance
Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, Yang Gao
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning within Sleeping: A Brain-Inspired Bayesian Continual Learning Framework
Han Yuyang, Chaoqiong Fan, Tianyuan Jia, Qixin Wang, Xia Wu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Embracing Diversity: Zero-shot Classification Beyond a Single Vector per Class
Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Verification Complexity of Deterministic Nonsmooth Nonconvex Optimization
Alkis Kalavasis, Konstantinos Stavropoulos, Manolis Zampetakis
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo
- Published: 16 Jan 2024, Last Modified: 23 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
Yue Fan, Ivan Skorokhodov, Oleg Voynov, Savva Victorovich Ignatyev, Evgeny Burnaev, Peter Wonka, Yiqun Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TETA: Temporal-Enhanced Text-to-Audio Generation
Jiawei Huang, Yi Ren, Rongjie Huang, Dongchao Yang, Zhenhui Ye, Chen Zhang, Jinglin Liu, Xiang Yin, Zejun MA, Zhou Zhao
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Branching Decoder for Set Generation
Zixian Huang, Gengyang Xiao, Yu Gu, Gong Cheng
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning
Shaotian Yan, Chen Shen, Junjie Liu, Jieping Ye
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Information Theoretical Study on Neural Learning Processes
Richard Jiang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
Jintian Zhang, Xin Xu, Shumin Deng
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Label Privacy Source Coding in Vertical Federated Learning
Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander T Toshev, Vaishaal Shankar
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-task Learning with 3D-Aware Regularization
Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Dissecting Causal Biases
Ruta Binkyte, Sami Zhioua
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Disentangled Acoustic Fields For Multimodal Physical Scene Understanding
Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Making Multimodal Generation Easier: When Diffusion Models Meet LLMS
Xiangyu Zhao, Bo LIU, Qijiong Liu, Guangyuan SHI, Xiao-Ming Wu
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Efficient Streaming Language Models with Attention Sinks
Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
- Published: 16 Jan 2024, Last Modified: 06 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Uncovering hidden geometry in Transformers via disentangling position and context
Jiajun Song, Yiqiao Zhong
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ImAD: An End-to-End Method for Unsupervised Anomaly Detection in the Presence of Missing Values
Feng Xiao, Jicong Fan
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GraphText: Graph Learning in Text Space
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Predict-then-Optimize via Learning to Optimize from Features
James Kotary, Vincenzo Di Vito Francesco, Jacob K Christopher, Pascal Van Hentenryck, Ferdinando Fioretto
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
OWL: A Large Language Model for IT Operations
Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, xu Shi, Tieqiao Zheng, liangfan zheng, Bo Zhang, Ke Xu, Zhoujun Li
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Teach Large Language Models the Concept of Meta-cognition to Reduce Hallucination Text Generation
Xiang Li
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone