ICLR 2024 Conference Submissions

Nuisance-Robust Weighting Network for End-to-End Causal Effect Estimation
Akira Tanimoto
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning
Xinyu Geng, Jiaming Wang, Jiawei Gong, yuerong xue, Jun Xu, Fanglin Chen, Xiaolin Huang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Data Refinement: Mitigating Reward Over-Optimization in Reinforcement Learning with Human Feedback
Banghua Zhu, John Schulman, Jiantao Jiao
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Quadratic Synchronization Rule for Distributed Deep Learning
Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
Tong Zhou, Shaolei Ren, Xiaolin Xu
- Published: 16 Jan 2024, Last Modified: 15 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Referring Expression Matters: Multi-referring Feature Aggregation for Referring Video Object Segmentation
YAN LI, Qiong Wang, Jianwei Zheng, Cong Bai, Lu Zhang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Local-Forward: Towards Biological Plausibility in Deep Reinforcement Learning
Jonas Guan, Shon Eduard Verch, Claas A Voelcker, Ethan C Jackson, Nicolas Papernot, William A Cunningham
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Weight Uncertainty in Individual Treatment Effect
Zhenlei Wang, Xiaoxiao Xu, Xiaoxi Yu, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai
- 24 Sept 2023 (modified: 02 Feb 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Latent Shattering: Turning Unconditional Pretrained Generators Into Conditional Models By Imposing Latent Structure
Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Large Language Models Fine-Tuning on Graphs
Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On information dropping and oversmoothing in graph neural networks
Han Xuanyuan, Tianxiang Zhao, Dongsheng Luo
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HuRef: HUman-REadable Fingerprint for Large Language Models
Boyi Zeng, Chenghu Zhou, Xinbing Wang, Zhouhan Lin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Memory Module for Sequential Planning and Reasoning
Kshitij Gupta, Sean Spinney, Xutong Zhao, Janarthanan Rajendran, Patricia Conrod, Irina Rish, Sarath Chandar
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Projected Subnetworks Scale Adaptation
Siddhartha Datta, Nigel Shadbolt
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multiple Modes for Continual Learning
Siddhartha Datta, Nigel Shadbolt
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robust Graph Neural Networks via Unbiased Aggregation
Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Backdoor Mitigation in Federated Learning with Contrastive Loss
Hal Ferguson, Rui Ning, Jiang Li, Hongyi Wu, Chunsheng Xin
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Turing Complete Transformers: Two Transformers Are More Powerful Than One
Shriyash Kaustubh Upadhyay, Etan Jacob Ginsberg
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PolyFormer: Scalable Graph Transformer via Polynomial Attention
Jiahong Ma, Mingguo He, Zhewei Wei
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Data-Centric Approach for Financial Large Language Models with Abductive Augmentation Reasoning
Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, yijia wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, JUN ZHOU, Sheng Li
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Cost Adaptive Recourse Recommendation by Adaptive Preference Elicitation
Duy Nguyen, Bao Nguyen, Viet Anh Nguyen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-Method Self-Training: Improving Code Generation With Text, And Vice Versa
Shriyash Kaustubh Upadhyay, Etan Jacob Ginsberg
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone