ICLR 2024 Conference Submissions

One-Hot Encoding Strikes Back: Fully Orthogonal Coordinate-Aligned Class Representations
Prince Osei Aboagye, Hasan Pourmahmoodaghababa, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Huiyuan Chen, Xin Dai, Liang Wang, Wei Zhang, Jeff M. Phillips
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploiting River Network Topology for Flood Forecasting with Graph Neural Networks
Nikolas Kirschstein, Yixuan Sun
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Linear Indexed Minimum Empirical Divergence Algorithms
Jie Bian, Vincent Tan
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FABRIC: Personalizing Diffusion Models with Iterative Feedback
Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Everyone Counts: Fair and Accurate Heterogeneous Federated Learning with Resource-Adaptive Model Modulation
Feilong Zhang, Xianming Liu, Shiyi Lin, Xiong Zhou, Junjun Jiang, Xiangyang Ji
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learnable Counterfactual Attention for Singer Identification
Yi-Xing Lin, Jen-Chun Lin, Wen-Li Wei, Jia-Ching Wang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah D Helgesen, Michael Felsberg, Jan-Åke Larsson
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improved Regret Bounds in Stochastic Contextual Bandits with Graph Feedback
Xueping Gong, Jiheng Zhang
- 19 Sept 2023 (modified: 03 Dec 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Training-free Linear Image Inversion via Flows
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
On robust overfitting: adversarial training induced distribution matters
Runzhi Tian, Yongyi Mao
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Visual Grounding with attention-driven constraint balancing
Weitai Kang, Luowei Zhou, Junyi Wu, Changchang Sun, Yan Yan
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Semantic-Guided Consistency and Discrimination for Siamese Representation Learning
Zheng Gao, Ioannis Patras
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Automatic Functional Differentiation in JAX
Min Lin
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MaskCLR: Multi-Level Contrastive Learning for Robust Skeletal Action Recognition
Mohamed O Abdelfattah, Mariam Hassan, Alexandre Alahi
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr Kindratenko, Eliu A Huerta, Kibaek Kim, Ravi Madduri
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Consistent123: Improve Consistency for One Image to 3D Object Synthesis
Haohan Weng, Tianyu Yang, Jianan Wang, Yu Li, Tong Zhang, C. L. Philip Chen, Lei Zhang
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Memorization for Good: Encryption with Autoregressive Language Models
Samuel Stevens, Yu Su
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
BioCLIP: A Vision Foundation Model for the Tree of Life
Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Single-Trajectory Distributionally Robust Reinforcement Learning
Zhipeng Liang, Xiaoteng Ma, Jose Blanchet, Jun Yang, Jiheng Zhang, Zhengyuan Zhou
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Robustify the Latent Space: Offline Distributionally Robust Reinforcement Learning with Linear Function Approximation
Zhipeng Liang, Xiaoteng Ma, Jose Blanchet, Mingwen Liu, Jiheng Zhang, Zhengyuan Zhou
- 19 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Desigen: A Pipeline for Controllable Design Template Generation
Haohan Weng, Danqing Huang, YU QIAO, Hu Zheng, Chin-Yew Lin, Tong Zhang, C. L. Philip Chen
- 19 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ADOPD: A Large-Scale Document Page Decomposition Dataset
Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone