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Publications

  • Fast Few-shot Debugging for NLU Test Suites

    Deep Learning Inside Out workshop at ACL 2022

    pp. 79-86, 2022

    Christopher Malon , NEC Laboratories America, Inc.; Kai Li, NEC Laboratories America, Inc.; Erik Kruus, NEC Laboratories America, Inc.

    May 26, 2022

  • Improving neural network robustness through neighborhood preserving layers

    Image and Vision Computing: Special Issue on Learning with Manifolds in Computer Vision

    123:104669, 1-9, 2022

    Bingyuan Liu, NEC Laboratories America, Inc., Penn State University; Christopher Malon, NEC Laboratories America, Inc.; Lingzhou Xue, Penn State University; Erik Kruus, NEC Laboratories America, Inc.

    May 1, 2022

  • Fast Few-shot Debugging for NLU Test Suites

    https://arxiv.org/

    https://arxiv.org/abs/2204.06555

    Christopher Malon , NEC Laboratories America, Inc.; Kai Li , NEC Laboratories America, Inc.; Erik Kruus, NEC Laboratories America, Inc.

    April 18, 2022

  • Self-supervised Video Representation Learning with Cascade Positive Retrieval

    https://arxiv.org

    https://arxiv.org/abs/2201.07989

    Cheng-En Wu, NEC Laboratories America, Inc., University of Wisconsin-Madison; Farley Lai, NEC Laboratories America, Inc.; Yu Hen Hu, University of Wisconsin-Madison; Asim Kadav, NEC Laboratories America, Inc.

    Jan. 21, 2022

  • AE-StyleGAN: Improved Training of Style-Based Auto-Encoders

    WACV 2022

    pp. 3134-3143, 2021

    Ligong Han, Rutgers University; Sri Harsha Musunuri, Rutgers University; Martin Renqiang Min, NEC Laboratories America, Inc.; Ruijiang Gao, The University of Texas at Austin; Yu Tian, Rutgers University; Dimitris Metaxas, Rutgers University

    Jan. 4, 2022

  • SplitBrain: Hybrid Data and Model Parallel Deep Learning

    arXiv

    https://arxiv.org/abs/2112.15317

    Farley Lai, NEC Laboratories America, Inc.; Asim Kadav, NEC Laboratories America, Inc.; Erik Kruus, NEC Laboratories America, Inc.

    Jan. 3, 2022

  • A Deep Generative Model for Molecule Optimization via One Fragment Modification

    Nature Machine Intelligence

    pp. 1-10, 2022

    Ziqi Chen, The Ohio State University; Martin Renqiang Min, NEC Laboratories America, Inc.; Srinivasan Parthasarathy, The Ohio Sate University; Xia Ning, The Ohio State University

    Jan. 1, 2022

  • COMPOSER: Compositional Learning of Group Activity in Videos

    https://arxiv.org

    https://arxiv.org/abs/2112.05892

    Honglu Zhou, NEC Laboratories America, Inc., Rutgers University; Asim Kadav, NEC Laboratories America, Inc.; Aviv Shamsian, Bar-Ilan University; Shijie Geng, Bar-Ilan University; Farley Lai, NEC Laboratories America, Inc.; Long Zhao, Rutgers University; Ting Liu, Google LLC; Mubbasir Kapadia, Rutgers University; Hans Peter Graf, NEC Laboratories America, Inc.

    Dec. 17, 2021

  • Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit

    The Fourth Workshop on Fast Extraction and Verificiation (FEVER)

    pp. 40-49, 2021

    Christopher Malon, NEC Laboratories America, Inc.

    Nov. 7, 2021

  • Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning

    EMNLP 2021

    pp. 1990-2000, 2021

    Zhan Shi, Queen’s University; Hui Liu, Queen’s University; Martin Renqiang Min, NEC Laboratories America, Inc.; Christopher Malon, NEC Laboratories America, Inc.; Li Erran Li, Amazon; Xiaodan Zhu, Queen’s University

    Nov. 7, 2021