ICLR 2024 Conference Submissions

Convolutions Through the Lens of Tensor Networks
Felix Dangel
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Ahmed Hendawy, Jan Peters, Carlo D'Eramo
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Self-Tuning Self-Supervised Anomaly Detection
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhanced Label Propagation through Affinity Matrix Fusion for Source-Free Domain Adaptation
Li Guo, Yuxuan Xia, Shengjie Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Local Composite Saddle Point Optimization
Site Bai, Brian Bullins
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Poisoning Fair Representations
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Multi-Task Reinforcement Learning with Shared-Unique Features and Task-Aware Prioritized Experience Replay
Po-Shao Lin, Jia-Fong Yeh, Yi-Ting Chen, Winston H. Hsu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
Kaiqi Zhang, Zixuan Zhang, Minshuo Chen, Yuma Takeda, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin CUI
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
Shaopeng Fu, Di Wang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
What's in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang, Sam Buchanan, Jeremias Sulam
- Published: 16 Jan 2024, Last Modified: 27 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fantastic Generalization Measures are Nowhere to be Found
Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Large Language Models Are Not Strong Abstract Reasoners
Gael Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Slightly Harmonizing Certified Robust Radius and Accuracy
Gaojie Jin, Xinping Yi, Pengfei Yang, Xiaowei Huang, Lijun Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations
Ahmed Khalil, Robert Piechocki, Raul Santos-Rodriguez
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Self-distillation for diffusion models
Damion Woods, Peter Bloem
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robust agents learn causal world models
Jonathan Richens, Tom Everitt
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang
- 20 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Game
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
- Published: 16 Jan 2024, Last Modified: 28 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
IS SYNTHETIC DATA USEFUL FOR TRANSFER LEARNING? AN INVESTIGATION INTO DATA GENERATION, VOLUME, AND UTILIZATION
Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Self-Supervised Pre-Training Model for Time Series Classification based on Data Pre-Processing
Hanlin ZHANG
- 20 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone