ICLR 2024 Conference Submissions

Submodular Minimax Optimization: Finding Effective Sets
Loay Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark Riedl
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
Fangyuan Xu, Weijia Shi, Eunsol Choi
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Federated Generalization via Information-Theoretic Distribution Diversification
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Defender of privacy and fairness: tiny but reversible generative model via mutually collaborative knowledge distillation
Xiaoxiao Wu, Zehong Huang, Lin Gu, Zhicong Liang, Zheng Li, Tatsuya Harada, Yingying Zhu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
Sachin Kumar, Chan Young Park, Yulia Tsvetkov
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A graph transformer for symbolic regression
Weiheng Zhong, Hadi Meidani
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Latent Structural Causal Models
Jithendaraa Subramanian, Yashas Annadani, Tristan Deleu, Ivaxi Sheth, Nan Rosemary Ke, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Flexible Diffusion for Graph Neural Networks
Songwei Zhao
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
In-Context Learning Dynamics with Random Binary Sequences
Eric J Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer Ullman
- Published: 16 Jan 2024, Last Modified: 10 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Dynamic Representation of Optimal Transport via Ensemble Systems
Yi-Hsuan Shih, Wei Zhang, Jr-Shin Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon Shaolei Du, Jason D. Lee, Wei Hu
- Published: 16 Jan 2024, Last Modified: 16 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
- Published: 16 Jan 2024, Last Modified: 01 May 2024
- ICLR 2024 poster
- Readers: Everyone
GraphECL: Towards Efficient Contrastive Learning for Graphs
Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An Implicit Watermark Framework for Adversary Identification
Sen Li, Minhao Cheng
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric Xing, Zhiting Hu
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Understanding Retrieval Augmentation for Long-Form Question Answering
Hung-Ting Chen, Fangyuan Xu, Shane Arora, Eunsol Choi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Beyond Policy Transfer: Self-Supervised Reward Adaptation in New Environments
Xinhu Li, Ayush Jain, Zhaojing Yang, Erdem Biyik, Joseph J Lim
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos Nikolakakis, Amin Karbasi, Dionysios Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
- Published: 16 Jan 2024, Last Modified: 08 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang, Aly A Khan, Yuxin Chen, Robert L. Grossman
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
Guodong Wang, Yunhong Wang, Xiuguo Bao, Di Huang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
QuantEase: Optimization-based Quantization for Large Language Models
Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi, Rahul Mazumder
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Power of Multitask Representation Learning with Gradient Descent
Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Pushing Boundaries: Mixup's Influence on Neural Collapse
Quinn LeBlanc Fisher, Haoming Meng, Vardan Papyan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone