ICLR 2024 Conference Submissions

Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Jean-Rémy Conti, Stephan Clémençon
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
Xin Liu, Muhammad Khalifa, Lu Wang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FusionViT: Hierarchical 3D Object Detection via Lidar-Camera Vision Transformer Fusion
Xinhao Xiang, Jiawei Zhang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Learning and Forgetting Unsafe Examples in Large Language Models
Jiachen ZHAO, Zhun Deng, David Madras, James Zou, Mengye Ren
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep-Learning Approaches for Optimized Web Accessibility: Correcting Violations and Enhancing User Experience
Calista Huang, Alyssa Ma, Suchir Vyasamudri, Eugenie Puype, Sayem Kamal, Salar Cheema, Michael Lutz
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Disentangled Heterogeneous Collaborative Filtering
Lianghao Xia, Meiyan Xie, Long Xia, Yong Xu, Dawei Yin, Chao Huang
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Energy-based Automated Model Evaluation
Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Deceptive Fairness Attacks on Graphs via Meta Learning
Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
- Published: 02 Feb 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Village-Net clustering: A novel unsupervised manifold clustering method
Aditya Ballal, Esha Datta, Leighton T Izu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Zero-shot Clustering of Embeddings with Pretrained and Self-Supervised Learning Encoders
Scott C Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Genetic Algorithm for Curriculum Generation in Multi-Agent Reinforcement Learning
Yeeho Song, Jeff Schneider
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Correct and speak: accent reduction with minimum supervision
zhijun jia, Huaying Xue, Xiulian Peng, Yan Lu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Faster Maximum Inner Product Search in High Dimensions
Mo Tiwari, Ryan Kang, Donghyun Lee, Jaeyong Lee, Sebastian Thrun, Christopher J Piech, Ilan Shomorony, Martin Jinye Zhang
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
PINNACLE: PINN Adaptive ColLocation and Experimental points selection
Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
Junyi Li, Feihu Huang, Heng Huang
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Differentiable Physical Simulation Framework for Soft Robots on Multiple-Task Learning
Yu Fang, Jiancheng Liu, Mingrui Zhang, Jiasheng Zhang, Yidong Ma, Minchen Li, Yuanming Hu, Chenfanfu Jiang, Tiantian Liu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
Zhenyu Wu, Meng Jiang, Chao Shen
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Expansion for Hypergraph Learning
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone