ICLR 2024 Conference Submissions

GIO: Gradient Information Optimization for Training Dataset Selection
Dante Everaert, Christopher Potts
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can Euclidean Symmetry Help in Reinforcement Learning and Planning?
Linfeng Zhao, Owen Lewis Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
Micah Goldblum, Marc Anton Finzi, Keefer Rowan, Andrew Gordon Wilson
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FusionShot: Boosting Few Shot Learners with Focal-Diversity Optimized Ensemble Method
Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Ling Liu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jaroslaw Blasiok, Preetum Nakkiran
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Probabilistic Adaptation of Black-Box Text-to-Video Models
Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
Daniel Philip Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, William Yang Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Horizon-Free Regret for Linear Markov Decision Processes
Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon Shaolei Du
- Published: 16 Jan 2024, Last Modified: 02 Oct 2024
- ICLR 2024 poster
- Readers: Everyone
Faithful Rule Extraction for Differentiable Rule Learning Models
Xiaxia Wang, David Jaime Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Cooperative-Game-Theoretical Model for Ad Hoc Teamwork
Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SYRAC: Synthesize, Rank, and Count
Adriano C. D'Alessandro, Ali Mahdavi Amiri, Ghassan Hamarneh
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Delving into LLMs’ visual understanding ability using SVG to bridge image and text
Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sparse Backpropagation for MoE Training
Liyuan Liu, Jianfeng Gao, Weizhu Chen
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling
Yuxuan Yin, Yu Wang, Peng Li
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for Point Clouds
Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Mining latent labels for imbalance classification: a regrouping perspective
Yash Travadi, Le Peng, Ying Cui, Rui Zhang, Ju Sun
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
Frank Cole, Yulong Lu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Scalable Diffusion for Materials Generation
Sherry Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Guess & Sketch: Language Model Guided Transpilation
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M Rush
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding
Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone