ICLR 2024 Conference Submissions

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
Chang Gao, Wenxuan Zhang, Guizhen Chen, Wai Lam
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
NAP2: Neural Networks Hyperparameter Optimization Using Weights and Gradients Analysis
Ariel Amsel, Gilad Katz
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Test Time Augmentations are Worth One Million Images for Out-of-Distribution Detection
Zhiyuan He, Yijun YANG, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Certification Paradox: Certifications Admit Better Evasion Attacks
Andrew Craig Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Human-oriented Representation Learning for Robotic Manipulation
Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
Souradip Chakraborty, Amrit Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang
- Published: 16 Jan 2024, Last Modified: 21 May 2024
- ICLR 2024 poster
- Readers: Everyone
Demystifying CLIP Data
Hu Xu, Saining Xie, Xiaoqing Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
- Published: 16 Jan 2024, Last Modified: 03 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
First-Explore, then Exploit: Meta-Learning Intelligent Exploration
Ben Norman, Jeff Clune
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Neural Tangent Kernel Approach for Constrained Policy Gradient Reinforcement Learning
Balazs Varga, Attila Lischka, Balazs Kulcsar, Morteza Haghir Chehreghani
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Making Large Language Models Better Reasoners with Alignment
Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
- Published: 16 Jan 2024, Last Modified: 23 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework
Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Exploring the Generalization Capabilities of AID-based Bi-level Optimization
Congliang Chen, Li Shen, zhiqiang xu, Wei Liu, Zhi-Quan Luo, Peilin Zhao
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
Heyang Zhao, Jiafan He, Quanquan Gu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert D Nowak, Dimitris Papailiopoulos
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Milan Papez, Martin Rektoris, Vaclav Smidl, Tomáš Pevný
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Language-Conditioned Imitation Learning With Base Skill Priors Under Unstructured Data
Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification
Yuan Wu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TKG-LM: Temporal Knowledge Graph Extrapolation Enhanced by Language Models
Tianli Zhang, Tongya Zheng, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Stochastic Adversarial Networks for Multi-Domain Text Classification
Xu Wang, Yuan Wu
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Thresholds with Latent Values and Censored Feedback
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
- Published: 16 Jan 2024, Last Modified: 17 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature
Aaron M Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A space-continuous implementation of Proper Orthogonal Decomposition by means of Neural Networks
Nicola Demo, Dario Coscia, Gianluigi Rozza
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone