ICLR 2024 Conference Submissions

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
Shiyu Shen, Xia Xu, Tianyang Shi, Tao Li, Zhenwei Shi, Bin Pan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp
Dibyakanti Kumar, Anirbit Mukherjee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How to Craft Backdoors with Unlabeled Data Alone?
Yifei Wang, Wenhan Ma, Yisen Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
Fahad Sarfraz, Bahram Zonooz, Elahe Arani
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring Pointwise Similarity of Representations
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GraSP: Simple yet Effective Graph Similarity Predictions
Haoran Zheng, Jieming Shi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning from Distinction: Mitigating backdoors using a low-capacity model
Haosen Sun, Xixiang Lyu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Signed-Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off
Sachit Kuhar, Yash Jain, Alexey Tumanov, Sujan Kumar Gonugondla
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generalized Temporal Difference Learning Models for Supervised Learning
Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prompt Backdoors in Visual Prompt Learning
Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Twinned Interventional Flows
Linda Hemmann, Vikas Garg
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Decision Tree Learning with Deep Networks
Prithaj Banerjee, Mahesh Lorik Yadav, Harish Guruprasad Ramaswamy, Chandra Shekar Lakshminarayanan
- 23 Sept 2023 (modified: 10 Feb 2025)
- Submitted to ICLR 2024
- Readers: Everyone
Sparse hyperbolic representation learning
Atsushi Suzuki, Atsushi Nitanda, jing wang, Feng Tian, Kenji Yamanishi
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, Diyi Yang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Constructing Sparse Neural Architecture with Deterministic Ramanujan Graphs
Arindam Biswas, Suryam Arnav Kalra, Pabitra Mitra, BISWAJIT BASU
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q Weinberger
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
Arvind V. Mahankali, Tatsunori Hashimoto, Tengyu Ma
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Dantzig-Wolfe Decomposition and Deep Reinforcement Learning
Fares Chouaki, Rebecca Siân Jeffers
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Deep Graph Neural Networks via Improving Signal Propagation
Senmiao Wang, Yupeng Chen, Yushun Zhang, Bingheng Li, Tian Ding, Ruoyu Sun
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Perpetually Trainable Neural Networks
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Razvan Pascanu, James Martens, Hado van Hasselt, Will Dabney
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints
Minjia Wang, Fangzhou Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Domain Feature Perturbation for Domain Generalization
Chenguang Wang, Zijun Zhang
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tackling Byzantine Clients in Federated Learning
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Interpretable and Generalizable Graph Neural Networks via Subgraph Multilinear Extension
Yongqiang Chen, Yatao Bian, Bo Han, James Cheng
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone