ICLR 2024 Conference Submissions

Efficient Recomputation of Marginal Likelihood upon Adding Training Data in Gaussian Processes and Simulator Fusion
Yusuke Ohtsubo, Hiroki Ohashi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Preconditioning for Physics-Informed Neural Networks
Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Role of Discrete Tokenization in Visual Representation Learning
Tianqi Du, Yifei Wang, Yisen Wang
- Published: 16 Jan 2024, Last Modified: 27 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji, Chongjian GE, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
LLMSelect: Knowledge-based Feature Selection with Large Language Models
Daniel P Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho
- Published: 16 Jan 2024, Last Modified: 03 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
AceGPT, Localizing Large Language Models in Arabic
Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Song Dingjie, Zhihong Chen, Mosen Alharthi, Bang An, Ziche Liu, Zhang Zhiyi, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Improving Large Language Model Fine-tuning for Solving Math Problems
Yixin Liu, Avi Singh, C. Daniel Freeman, John D Co-Reyes, Peter J Liu
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu
- Published: 16 Jan 2024, Last Modified: 02 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
- Published: 16 Jan 2024, Last Modified: 18 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Reinforcement Learning for Large Group Systems using Hierarchical Kernel Representations
Wei Zhang, Jr-Shin Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimizing Interpersonal Communication by Simulating Audiences with Large Language Models
Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Neural Network Transparency through Representation Analysis
Andy Zou, Long Phan, Sarah Li Chen, James Campbell, Phillip Huang Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Annah Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Troy Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J Zico Kolter et al. (1 additional authors not shown)
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
yisheng xiao, Juntao Li, Zechen Sun, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Min Zhang
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
ZHIHAO DING, Jieming Shi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Jorge: Approximate Preconditioning for GPU-Efficient Second-Order Optimization
Siddharth Singh, Zachary Sating, Abhinav Bhatele
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Imitation Bootstrapped Reinforcement Learning
Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Exploring the Promise and Limits of Real-Time Recurrent Learning
Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
Zexi Huang, Joao Pedro Rodrigues Mattos, Mert Kosan, Arlei Lopes da Silva, Ambuj Singh
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Measuring Graph Similarity Using Transfer Cost of Forster Distributions
Lin Li, Bharat Singhal, Wei Zhang, Jr-Shin Li
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
- Published: 16 Jan 2024, Last Modified: 03 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Scaling physics-informed hard constraints with mixture-of-experts
Nithin Chalapathi, Yiheng Du, Aditi S. Krishnapriyan
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Uncovering Causal Variables in Transformers Using Circuit Probing
Michael A. Lepori, Thomas Serre, Ellie Pavlick
- 24 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Discrimination-free Pricing with Privatized Sensitive Attributes
Tianhe Zhang, Suhan Liu, Peng Shi
- 24 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone