Publications

* Equal contribution.

2022

  1. NeurIPS
    PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
    P. Wang, A. Chan, F. Ilievski, M. Chen, and X. Ren
    {TL4NLP, TSRML} Workshop at NeurIPS, 2022
    arXiv PDF
  2. arXiv
    XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
    D. Lee*, A. Kadakia*, B. Joshi, A. Chan, Z. Liu, K. Narahari, T. Shibuya, R. Mitani, T. Sekiya, J. Pujara, and X. Ren
    arXiv, 2022
    arXiv PDF Website
  3. EMNLP
    FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales
    A. Chan, S. Nie, L. Tan, X. Peng, H. Firooz, M. Sanjabi, and X. Ren
    BlackboxNLP Workshop at EMNLP, 2022
    arXiv PDF
  4. EMNLP
    ER-Test: Evaluating Explanation Regularization Methods for NLP Models
    B. Joshi*, A. Chan*, Z. Liu*, S. Nie, M. Sanjabi, H. Firooz, and X. Ren
    Findings of EMNLP, 2022
    arXiv PDF
  5. ICML
    UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
    A. Chan, M. Sanjabi, L. Mathias, L. Tan, S. Nie, X. Peng, X. Ren, and H. Firooz
    ICML, 2022
    arXiv PDF

2021

  1. NeurIPS
    SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
    A. Chan, J. Xu, B. Long, S. Sanyal, T. Gupta, and X. Ren
    NeurIPS, 2021
    arXiv PDF Code
  2. ACL
    Learning Contextualized Knowledge Structures for Commonsense Reasoning
    J. Yan, M. Raman, A. Chan, T. Zhang, R. Rossi, H. Zhao, S. Kim, N. Lipka, and X. Ren
    Findings of ACL, 2021
    arXiv PDF Code
  3. ICLR
    Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
    M. Raman, A. Chan*, S. Agarwal*, P. Wang, H. Wang, S. Kim, R. Rossi, H. Zhao, N. Lipka, and X. Ren
    ICLR, 2021
    arXiv PDF Code

2018

  1. CVPR
    Egocentric Basketball Motion Planning from a Single First-Person Image
    G. Bertasius, A. Chan, and J. Shi
    CVPR, 2018
    arXiv PDF

2017

  1. ICRA
    6-DoF Object Pose from Semantic Keypoints
    G. Pavlakos, X. Zhou, A. Chan, K.G. Derpanis, and K. Daniilidis
    ICRA, 2017
    arXiv PDF Code

2016

  1. ACIVS
    Scalable Vision System for Mouse Homecage Ethology
    G. Salem, J. Krynitsky, B. Kirkland, E. Lin, A. Chan, S. Anfinrud, S. Anderson, M. Garmendia-Cedillos, R. Belayachi, J. Alonso-Cruz, J. Yu, A. Iano-Fletcher, G. Dold, T. Talbot, A.V. Kravitz, J.B. Mitchell, G. Wu, J.U. Dennis, M. Hayes, K. Branson, and T. Pohida
    ACIVS, 2016
    PDF Website