(*) denotes equal contribution


  1. ICLR
    Circumventing Concept Erasure Methods For Text-to-Image Generative Models
    Minh Pham, Kelly O. Marshall, Niv Cohen, and 2 more authors
    International Conference on Learning Representations, 2024
  2. CVPR
    DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
    Nastaran Saadati, Minh Pham, Nasla Saleem, and 5 more authors
    IEEE / CVF Computer Vision and Pattern Recognition Conference, 2024


  1. Preprint
    ZeroForge: Feedforward Text-to-Shape Without 3D Supervision
    Kelly O Marshall, Minh Pham, Ameya Joshi, and 4 more authors
    arXiv preprint arXiv:2306.08183, 2023
  2. TMLR
    Distributionally Robust Classification on a Data Budget
    Benjamin Feuer, Ameya Joshi, Minh Pham, and 1 more author
    Transactions on Machine Learning Research, 2023


  1. Preprint
    Revisiting self-distillation
    Minh Pham*, Minsu Cho*, Ameya Joshi*, and 1 more author
    arXiv preprint arXiv:2206.08491, 2022
  2. Preprint
    Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
    Ameya Joshi, Minh Pham, Minsu Cho, and 4 more authors
    arXiv preprint arXiv:2205.06154, 2022


    Toward better speaker embeddings: Automated collection of speech samples from unknown distinct speakers
    Minh Pham, Zeqian Li, and  Jacob Whitehill
    IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
    How does label noise affect the quality of speaker embeddings?
    Minh Pham, Zeqian Li, and  Jacob Whitehill
    Conference of the International Speech Communication Association, 2020