ICLR 2024 Conference Submissions

Neural Architecture Search for TinyML with Reinforcement Learning
Mark Deutel, Georgios Kontes, Christopher Mutschler, Jürgen Teich
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
A Novel Evaluation Framework for Image Inpainting via Multi-Pass Self-Consistency
Tianyi Chen, Jianfu Zhang, Yan Hong, Liqing Zhang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen
- Published: 02 Feb 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
UniInsertion: A Unified Model-based Insertion Skill Learning via Differentiable Physics-based Simulation
Chenrui Tie, Wang Debang, Gaurav Chaudhary, Weikun Peng, Tianyi Chen, Gang Yang, Yao Mu, Lin Shao
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Directed Graphical Models with Optimal Transport
Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications
Zifeng Wang, Brandon Philip Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
What Text Do Language Models Trust?
Alexander Wan, Eric Wallace
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
Kaiwen Zhou, Kwonjoon Lee, Teruhisa Misu, Xin Eric Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reduce, Reuse, and Recycle: Navigating Test-Time Adaptation with OOD-Contaminated Streams
Jisoo Mok, Jonghyun Lee, Saehyung Lee, Sungroh Yoon
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Confident Sinkhorn Allocation for Pseudo-Labeling
Vu Nguyen, Hisham Husain, Sachin Sudhakar Farfade, Anton van den Hengel
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Information Retention via Learning Supplemental Features
Zhipeng Xie, Yahe Li
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Don't Play Favorites: Minority Guidance for Diffusion Models
Soobin Um, Suhyeon Lee, Jong Chul Ye
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
C-MCTS: Safe Planning with Monte Carlo Tree Search
Dinesh Parthasarathy, Georgios Kontes, Axel Plinge, Christopher Mutschler
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bayesian Preference Elicitation for Personalized Prefactual Recommendation
Lemin Kong, Marshal Arijona Sinaga, Anthony Man-Cho So, Viet Anh Nguyen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ObjectNet Captions: Models are not superhuman captioners
Jesse Cummings, David Mayo, Ian Alexander Palmer, James R. Glass, Boris Katz, Andrei Barbu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation
Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward William Ayers, Dragomir Radev
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Noise-guided Unsupervised Outlier Detection
Zifeng Wan, You LiAC, Yun Lei, Tianyuan Xu, Songgaojun Deng, Jinglin Li, Ning Gui
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Mayfly: a Neural Data Structure for Graph Stream Summarization
Yuan Feng, Yukun Cao, Wang Hairu, Xike Xie, S Kevin Zhou
- Published: 16 Jan 2024, Last Modified: 06 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
Jia Shi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reinforcement Learning-based Layer-wise Aggregation for Personalized Federated Learning
Ziwen Huang, Nikolaos Freris
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone