ICLR 2024 Conference Submissions

Using Attention to Weight Particles in Particle Filters
Harvey Dam, Maxwell Nathan Yaw
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Buffered Asynchronous Federated Learning with Local Differential Privacy
Mohammad Naseri, Nicolas Kourtellis, Emiliano De Cristofaro
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Securing Deep Generative Models with Universal Adversarial Signature
Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DisCo: Disentangled Control for Realistic Human Dance Generation
Tan Wang, Linjie Li, Kevin Lin, Yuanhao Zhai, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Soon Filter: Advancing Feed-Forward Neural Architectures for Inference at the Edge
Alan Tendler Leibel Bacellar, Zachary Susskind, Mauricio Breternitz Jr, Lizy Kurian John, Felipe M.G. França, Priscila Machado Vieira Lima
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning
Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Task adaptation by biologically inspired stochastic comodulation
Gauthier Boeshertz, Caroline Haimerl, Cristina Savin
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Confession Networks: Boosting Accuracy and Improving Confidence in Classification
Sina Radpour, Neil Bruce
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Shape-aware Graph Spectral Learning
Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Polarity-Aware Semantic Retrieval with Fine-Tuned Sentence Embeddings
Tollef Emil Jørgensen, Jens Breitung
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
DUDE: Deep Unsupervised Domain adaptation using variable nEighbors for physiological time series analysis
Jeremy Levy, Noam Ben-Moshe, Uri Shalit, Joachim Behar
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
System Identification of Neural Systems: Going Beyond Images to Modelling Dynamics
Mai Gamal, Mohamed Rashad Abdel Hamid, Eman Ehab Nasef, Seif Eldawlatly, Mennatullah Siam
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Discovering Localized Pollution Hotspots Using Sparse Sensor Measurements
Ankit Bhardwaj, Ananth Balashankar, Shiva R. Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshmi Subramanian
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
What does GPT store in its MLP weights? A case study of long-range dependencies
Theo Clark, Shay B Cohen, Fazl Barez
- 21 Sept 2023 (modified: 07 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew L Leavitt, Naomi Saphra
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
Wentao Bao, Lichang Chen, Heng Huang, Yu Kong
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MgNO: Efficient Parameterization of Linear Operators via Multigrid
Juncai He, Xinliang Liu, Jinchao Xu
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
Xinwei Zhang, Zhiqi Bu, Steven Wu, Mingyi Hong
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone