EMNLP 2020 Tutorial on Interpreting Predictions of NLP Models with Eric Wallace and Matt Gardner.
NeurIPS 2020 Tutorial on Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities with Himabindu Lakkaraju and Julius Adebayo.
Appeared on the TwiMLAI podcast to talk about Testing NLP models.
Organized the KDD 2020 Deep Learning Day with Zachary Lipton, Hanie Sedghi, and Yuxiao Dong.
Appeared on the NLP Highlights podcast to talk about Explanations for NLP models.
Received the Best Overall Paper Award for CheckList at ACL 2020! Congats to Marco, Tongshuang, and Carlos! Article in UCI News and UW News.
Article in VentureBeat on CheckList.
Select as one of the Best Paper Runners-Up Award at AKBC.
Honored to receive the Dean’s Mid-Career Excellance in Research Award.
Honored to receive the Hellman Fellowship! Article in UCI News.
Awarded an NSF EAGER SaTC-EDU grant at the intersection of adversarial machine learning, cybersecurity, and CS education.
Five papers at ACL 2020, on testing NLP models, sampling latent language models, interpretability of NMNs, intermediate annotations for QA, and sampling batches during training.
Paper presented at the JCDL 2020 Workshop on Mining Scientific Publications (WOSP).
Two papers in ICLR 2020: on RL intepretability and neural-symbolic models for QA.
Paper on Deception detection in International Joint Conference on Neural Networks (IJCNN).
Paper on active learning at the CVPR Workshop on Visual Learning with Limited Labels (VL3).
Quoted in an article in Freethink.
Invited talk at Google Research.
Paper on vulnerabilities in LIME at the AAAI Conference on Artificial Intelligence, Ethics, and Society (AIES).
Paper on Using Minecraft/Malmo to teach AI in the AAAI Symposium on Educational Aadvances in AI (EAAI).
Invited talk at the AAAI workshop on AI Safety (SafeAI).
Invited talk at the AAAI workshop on Reasoning over Complex QA.
Invited talk at the PSB Workshop on AI Ethics and Values in Biomedicine - Technical Challenges and Solutions.
Invited talk at the Re.Work Deep Learning Summit.
Talk at Workshop on Information Theory and Applications (ITA).
Attended and presented at the Dagstuhl seminar on Software Engineering for Machine Learning.
Invited talk at NEC REsearch in Heidelberg, Germany.
Article in the Harvard Business Review on Dylans AIES paper.
Quoted in Wired for work on triggers.
Papers at NeurIPS workshops on PRML and ViGiL.
Awarded the NSF Computing Infrastructure grant as PI for overhauling the UCI ML Repository with Co-PIs [Padhraic Smyth] and Philip Papadoupolous.
Keynote talk at the PyData Los Angeles.
Invited talk at the FEVER 2.0 Workshop at EMNLP 2019 on Inducing Fake, and Real, Information from NLP Models.
AllenNLP Interpret received the Best Demo award at EMNLP 2019! Congrats to Eric, Sanjay, Junlin, Jens, and Matt! Article in UCI News.
Two papers (#1, #2) appearing at the Machine Reading and Question Answering (MRQA), with Best Research Paper to the former! Congrats Anthony, Matt, and Gabi!
Invited speaker at the 2019 SoCal NLP Symposium at USC on September 13.
Article on AllenNLP Interpret in InfoQ.
Organized the NeurIPS 2019 workshop on Knowledge Representation & Reasoning Meets Machine Learning (KR2ML).
Paper at the Mobicom Workshop on Hot Topics in Video Analytics and Intelligent Edges workshop.
Invited talks at the UCI Cognitive Science Department Symposium and the UCI IMBS Symposium.
Gave a talk at IIT Delhi and Adobe Research.