ICLR 2024 Conference Submissions

Text-Free Federated Transformers Knowledge Distillation Without GAN
Zhongxiang Lei, Yongzi Yu, Chongyang Shi, Yuanchi Ma, Jinyan Liu
- 22 Sept 2023 (modified: 12 Dec 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
Yongqiang Cai
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GRepsNet: A Simple Equivariant Network for Arbitrary Matrix Groups
Sourya Basu, Suhas Lohit, Matthew Brand
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A-Loc: Efficient Alternating Iterative Methods for Locating the $k$ Largest/Smallest Elements in a Factorized Tensor
Xiao Chuanfu, Cuiyu Liu, Qianchao Zhu, Min Li, Chao Yang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model
Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Wei Zhang, Songcen Xu, Hang Xu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding In-context Learning with a Pelican Soup Hypothesis
Ting-Rui Chiang, Dani Yogatama
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TransNeXt: Aggregating Diverse Attentions in One Vision Model
Dai Shi
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang, Zhong Li, Qianxiao Li
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
L2P-MIP: Learning to Presolve for Mixed Integer Programming
Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Continual Learning Knowledge Graph Embeddings for Dynamic Knowledge Graphs
Zongsheng Cao
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On the Similarity between Attention and SVM on the Token Separation and Selection Behavior
Beidi Chen, Wentao Guo, Zhihang Li, Zhao Song, Tianyi Zhou
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li, Rong Wang, Quanling Deng, Amanda S Barnard
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A Backdoor-based Explainable AI Benchmark for Improved Fidelity in Evaluating Attribution Methods
Peiyu Yang, NAVEED AKHTAR, Jiantong Jiang, Ajmal Saeed Mian
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
EigenGuard: Backdoor Defense in Eigenspace
Mingjie Li, Yifei Wang, Zhouchen Lin, Yisen Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BOSS: Diversity-Difficulty Balanced One-Shot Subset Selection for Data-Efficient Deep Learning
Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Image-driven Video Editing with Latent Diffusion Models
Liangbing Zhao, Zicheng Zhang, Xuecheng Nie, Si Liu, Luoqi Liu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Regulating Model Reliance on Non-Robust Features by Smoothing Marginal Density of Input
Peiyu Yang, NAVEED AKHTAR, Mubarak Shah, Ajmal Saeed Mian
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
AED: Adaptable Error Detection for Few-shot Imitation Policy
Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration
Hongru WANG, Huimin WANG, Lingzhi Wang, Minda Hu, Rui Wang, Boyang XUE, Hongyuan Lu, Fei Mi, Kam-Fai Wong
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hierarchical Approach to Explaining Poisoned AI Models
Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Michael Majurski, Derek Juba, Tim Blattner, Walid T Keyrouz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Asking Before Acting: Gather Information in Embodied Decision-Making with Language Models
Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HGAMLP: A Scalable Training Framework for Heterogeneous Graph Learning
Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin CUI
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone