ICLR 2024 Conference Submissions

A Bayesian Framework for Clustered Federated Learning
Peng Wu, Tales Imbiriba, Pau Closas
- 22 Sept 2023 (modified: 23 Nov 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
OpenPatch: a 3D patchwork for Out-Of-Distribution detection
Paolo Rabino, Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improved Algorithms for Replicable Bandits
Junpei Komiyama, Shinji Ito, Yuichi Yoshida, Souta Koshino
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Explaining recommendation systems through contrapositive perturbations
Jean-Francois Ton, Yegor Klochkov, Yang Liu, Hang Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Gradual Domain Adaptation via Gradient Flow
Zhan Zhuang, Yu Zhang, Ying Wei
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach
Shixi Lian, Jianye HAO, Yi Ma, Jinyi Liu, YAN ZHENG
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adversarial Attacks as Near-Zero Eigenvalues in The Empirical Kernel of Neural Networks
Ouns El Harzli, Bernardo Cuenca Grau
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint
Jordan Frecon, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stephane Canu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Multi-modal Representations Under Incomplete Data Via Dual Level Alignments
Noriaki Kawamae
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
EduGym: An Environment Suite for Reinforcement Learning Education
Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang, Koen Ponse, Bram M. Renting, Michiel van der Meer, Andrius Bernatavicius, Andreas W.M. Sauter, Tom Kouwenhoven, Aske Plaat
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Spatio-Temporal Graph Knowledge Distillation
Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Incentive-Aware Federated Learning with Training-Time Model Rewards
Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar, Bryan Kian Hsiang Low
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DynaEval: A Dynamic Interaction-based Evaluation Framework for Assessing LLMs in Real-world Scenarios
Jiatong Li, Rui Li, Yan Zhuang, Kai Zhang, Linan Yue, Qingchuan Li, Junzhe Jiang, Qi Liu, Enhong Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Gaussian Mixture Models
Farzad Aryan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation
Jingjin Liu, Hankz Hankui Zhuo, Kebing Jin, yuan jiamin, yang zhimin, Zhengan Yao
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Architecture Retrieval
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DAG-based Generative Regression
Hristo Petkov, Feng Dong, Calum Robert MacLellan
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
Hancheng Min, Enrique Mallada, Rene Vidal
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Rethinking the Uniformity Metric in Self-Supervised Learning
Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang
- Published: 16 Jan 2024, Last Modified: 20 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, QIANG FU, Xiaojun Chang, Yaodong Yang
- Published: 16 Jan 2024, Last Modified: 08 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Rethinking Semantic Few-Shot Image Classification
Zihao Jiang, Yunkai Dang, Dong Pang, Huishuai Zhang, Weiran Huang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Data augmentation guided Decouple Knowledge Distillation for low-resolution fine-grained image classification
Haotian Zhang, YongLiang Qiao, Meili Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking Self-Supervise Learning: An Instance-wise Similarity Perspective
Xianghong Fang, Ronghe Qiu, Zenglin Xu, Lei Ma, Qiang Sun, Jie Fu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone