Publication Meta-Learning For Few-Shot NMT Adaptation Amr Sharaf, Hany Hassan Awadalla, Hal Daumé III April 2020 Project Project
Publication Outpacing the Virus: Digital Response to Containing the Spread of COVID-19 while Mitigating Privacy Risks Vi Hart, Divya Siddarth, Bethan Cantrell, Lila Tretikov, Peter Eckersley, John Langford, Scott Leibrand, Sham Kakade, Steve Latta, Dana Lewis, Stefano Tessaro, E. Glen Weyl Harvard Center for Ethics | April 2020 Project
Publication Disagreement-Regularized Imitation Learning Kiante Brantley, Wen Sun, Mikael Henaff Eighth International Conference on Learning Representations (ICLR) | April 2020
Publication Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, Jennifer Wortman Vaughan CHI 2020 | April 2020 CHI 2020 Honorable Mention Award Github Project
Publication A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition Forough Poursabzi-Sangdeh, Samira Samadi, Jennifer Wortman Vaughan, Hanna Wallach April 2020
Publication Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal Eighth International Conference on Learning Representations (ICLR) | April 2020
Publication Bandits with adversarial scaling Thodoris Lykouris, Vahab Mirrokni, Renato Paes Leme March 2020
Publication Contrastive Estimation Reveals Topic Posterior Information To Linear Models Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu March 2020
Publication Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI Michael Madaio, Luke Stark, Jennifer Wortman Vaughan, Hanna Wallach CHI Conference on Human Factors in Computing Systems | March 2020 CHI 2020 Best Paper Award Project
