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The International Conference on Learning Representations

ICLR 2024 Accepted Papers - ASSET Center Contributors

  1. Adversarial Training Should Be Cast As a Non-Zero-Sum Game
    • Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
  2. Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification

    • Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal

  3. Can Transformers Capture Spatial Relations between Objects?
    • Chuan Wen, Dinesh Jayaraman, Yang Gao
  4. Code Representation Learning at Scale

    • Dejiao Zhang, Wasi Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

  5. Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
    • Hancheng Min, Enrique Mallada, Rene Vidal
  6. Eureka: Human-Level Reward Design via Coding Large Language Models
    • Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar
  7. (Oral) Evaluating Groups of Features via Consistency, Contiguity, and Stability
    • Chaehyeon Kim, Weiqiu You, Shreya Havaldar, Eric Wong
  8. Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models

    • Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin Haeffele, Rene Vidal, Yi Ma

  9. (Spotlight) Learning Performance Improving Code Edits

    • Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob Gardner, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh

  10. Memory-Consistent Neural Networks for Imitation Learning
    • Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
  11. Oracle Efficient Algorithms for Groupwise Regret
    • Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
  12. PAC Prediction Sets Under Label Shift
    • Wenwen Si, Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
  13. (Spotlight) Privileged Sensing Scaffolds Reinforcement Learning 
    • Edward Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
  14. (Spotlight) SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

    • Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

  15. (Spotlight) Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
    • Thomas TCK Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
  16. The trickle-down impact of reward (in-) consistency on RLHF
    • Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu
  17. Time-Varying Propensity Score to Bridge the Gap between the Past and Present
    • Rasool Fakoor, Jonas Mueller, Zachary Lipton, Pratik A Chaudhari, Alex Smola
  18. ZeroFlow: Fast Zero Label Scene Flow via Distillation
    • Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays