ICLR 2024 Conference Submissions

Unsupervised Learning via Network-Aware Embeddings
Anne Sophie Riis Damstrup, Sofie Tosti Madsen, Michele Coscia
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Context-Aware Unsupervised Domain Adaptive Lane Detection
Kunyang Zhou, Yunjian Feng, Jun Li
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese, Mustapha BOUNOUA, Pietro Michiardi
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Fine-grained Separation of Action-Background for Point-Level Temporal Action Localization
Yone Huang, Ying Xu, Fusen Li
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CAST: Clustering self-Attention using Surrogate Tokens for efficient transformers
Adjorn Van Engelenhoven, Nicola Strisciuglio, Estefania Talavera Martinez
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Teacher-Guided Framework for Graph Representation Learning
Arnab Kumar Mondal, Jay Nandy, Manohar Kaul, Prathosh AP
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Point Neighborhood Embeddings
Pedro Hermosilla
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
Jae-Hong Lee, Joon-Hyuk Chang
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations
Jianzhang Zheng, Hao Shen, Xuan Tang, Mingsong Chen, peidong liang, Xian Wei
- 19 Sept 2023 (modified: 14 Nov 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Relaxed State-Adversarial Offline Reinforcement Learning: A Leap Towards Robust Model-Free Policies from Historical Data
Yun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Law of Balance and Stationary Distribution of Stochastic Gradient Descent
Liu Ziyin, Hongchao Li, Masahito Ueda
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mixup Your Own Pairs
Yilei Wu, Zijian Dong, Chongyao Chen, Wangchunshu Zhou, Juan Helen Zhou
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep Reinforcement Learning for Modelling Protein Complexes
Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
fairret: a Framework for Differentiable Fairness Regularization Terms
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao, Kaican Li, Weiyan Xie, Zhi LIN, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Convergence Rates of Deep Nonparametric Regression under Covariate Shift
Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
Jinha Park, Wonguk Cho, Taesup Kim
- 19 Sept 2023 (modified: 08 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Multi-Agent Bayesian Optimization with Coupled Black-box and Affine Constraints
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RoBERT: Low-Cost Bi-Directional Sequence Model for Flexible Robot Behavior Control
Diyuan Shi, Shangke Lyu, Donglin Wang
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
Chuanwen Feng, Wenlong Chen, Ao Ke, Yilong Ren, Xike Xie, S Kevin Zhou
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Easing Non-IID Pain with Dual Relaxations in Federated Learning: SimFAFL redeems an enhanced efficacy
Lu Zhang, Yao Yang, Yiteng Zhai, Yixun Luo, Xu Jiao, Di Li
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
LeBD: A Run-time Defense Against Backdoor Attack in YOLO
Kai Chen, Weijun Shan, Xin Li, XUE YANG, Qing Li, Jun Yu
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Debiasing Algorithm through Model Adaptation
Tomasz Limisiewicz, David Mareček, Tomáš Musil
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Foundation Model for Error Correction Codes
Yoni Choukroun, Lior Wolf
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone