ICLR 2024 Conference Submissions

PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
Haopeng Sun, Lumin Xu, Sheng Jin, Ping Luo, Chen Qian, Wentao Liu
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
Xinyu Yang, Weixin Liang, James Zou
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Language-Agent Approach to Formal Theorem-Proving
Amitayush Thakur, Yeming Wen, Swarat Chaudhuri
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Extensive Analysis on the Underlying Premises Behind Deep Reinforcement Learning Algorithm Design
Ezgi Korkmaz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Differentially Private Clustering Algorithm for Well-Clustered Graphs
Weiqiang He, Hendrik Fichtenberger, Pan Peng
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Follow-the-Perturbed-Leader for Adversarial Bandits: Heavy Tails, Robustness, and Privacy
Duo Cheng, Xingyu Zhou, Bo Ji
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tool-Augmented Reward Modeling
Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Refined Tensorial Radiance Field: Harnessing coordinate based networks for novel view synthesis from sparse inputs
Mingyu Kim, Kim Jun-Seong, Se-Young Yun, Jin-Hwa Kim
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods
Yuto Nishimura, Taiji Suzuki
- Published: 16 Jan 2024, Last Modified: 20 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Reweighted Solutions for Weighted Low Rank Approximation
David Woodruff, Taisuke Yasuda
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
Xiaohan Hu, Yi Ma, Chenjun Xiao, YAN ZHENG, Jianye HAO
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Theory of Unimodal Bias in Multimodal Learning
Yedi Zhang, Peter E. Latham, Andrew M Saxe
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
How well does Persistent Homology generalize on graphs?
Kirill Brilliantov, Amauri H Souza, Vikas Garg
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dynamic Layer Tying for Parameter-Efficient Transformers
Tamir David Hay, Lior Wolf
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Unlearning via Sparse Representations
Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Curtis Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Long Horizon Episodic Decision Making for Cognitively Inspired Robots
Shweta Singh, Vedant Ghatnekar, Sudaman Rajesh Katti
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation
Fabian Otto, Philipp Becker, Vien Anh Ngo, Gerhard Neumann
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CL-Calib: Enhancing Post-training Quantization Calibration through Contrastive Learning
Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
UNITE:Universally Trustworthy GNN Via Subgraph Identification
Qizhang Feng, Qiaoyu Tan, Chaozhuo Li, Lichao Sun, Na Zou, Xing Xie, Xia Hu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
- Published: 16 Jan 2024, Last Modified: 29 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Resonator-Gated RNNs
Robert Deibel, Shahram Eivazi, Martin V. Butz, Sebastian Otte
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning with Language Inference and Tips for Continual Reinforcement Learning
Yifei Chen, Bo Yuan, Xueqian Wang
- 23 Sept 2023 (modified: 02 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone