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Albert Tseng
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<style> body { max-width: 720px !important; } tbody { border-top: none; border-bottom: none; } header { height:0px;} </style> [About](index.html) | [Research](research.html) | [Experience](experience.html) | albert (at) cs.cornell.edu \

Research

  • QTIP: Quantization with Trellises and Incoherence Processing
    Albert Tseng, Qingyao Sun, David Hou, Christopher De Sa
    Advances in Neural Information Processing Systems (NeurIPS), 2024
    Spotlight
    [Paper] [Code]

  • QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
    Albert Tseng*, Jerry Chee*, Qingyao Sun, Volodymyr Kuleshov, Christopher De Sa
    International Conference on Machine Learning (ICML), 2024
    [Paper] [Code]

  • Shadow Cones: A Generalized Framework for Partial Order Embeddings
    Tao Yu*, Toni J.B. Liu*, Albert Tseng, Christopher De Sa
    International Conference on Learning Representations (ICLR), 2024
    [Paper]

  • Coneheads: Hierarchy Aware Attention
    Albert Tseng, Tao Yu, Toni J.B. Liu, Christopher De Sa
    Advances in Neural Information Processing Systems (NeurIPS), 2023 [Paper]

  • Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
    Albert Tseng, Jennifer J. Sun, Yisong Yue
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    [Paper]

  • Learning Calibratable Policies using Programmatic Style-Consistency
    Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
    International Conference on Machine Learning (ICML), 2020
    [Paper]

* equal contribution

See Google Scholar for more.


Last updated September 2024.