Group

Zhengli Zhao, UCI (2020). Machine Learning Engineer, Waymo
Marco Tulio Ribeiro, UW (co-advised with Carlos Guestrin) (2018). Senior Researcher at Microsoft Research
Forough Arabshahi, UCI (co-advised with Anima Anandkumar) (2018). Postdoc at CMU

Past Visitors

Qiang Ning, Research Scientist, AI2 Irvine (2020). applied scientist, Amazon
Orion Weller, Intern, AI2 Irvine (2020). undergrad at Brigham Young University
Eric Wallace, Intern, AI2 Irvine (2019). PhD student at UC Berkeley
Yizhong Wang, Intern, AI2 Irvine (2018). PhD student at University of Washington
Yanbing Bai, Visiting Researcher, UCI (2017). Asst. Professor at Renmin Univ of China

Masters

Ananya, UCI (2018). Microsoft
Taylor Shin, UCI (2020). Embodied Inc.
Chirag Choudhary, UCI (2019). Qualcomm

Undergraduates

Jens Tuyls, UCI (2020). PhD student at Princeton University
Liyan Chen, UCI (2019). PhD student at UT Austin
Pasha Khosravi, UCI (2018). PhD student at UCLA
Chang Gao, UCI Exchange (2018). Waymo

High School

Arjun Neervannan (2018-2019). Undergraduate at UPenn
Nitya Parthasarathy (2017-2018). Undergraduate at MIT

Doctoral Committees

Nick Gallo, PhD Candidate at UCI, chair: Alex Ihler
Forest Agostinelli, PhD Candidate at UCI, chair: Pierre Baldi
Jihyun Park, PhD Candidate at UCI, chair: Padhraic Smyth
Junkyu Lee, PhD Candidate at UCI, chair: Rina Dechter
Lars Hertel, PhD Candidate at UCI, chair: Pierre Baldi
Filjor Broka, PhD Candidate at UCI, chair: Rina Dechter

Graduated:

Dimitris Kotzias, PhD at UCI (2018), chair: Padhraic Smyth
Marco Tulio Ribeiro, PhD at UW (2018), chair: Carlos Guestrin
Qi Lou, PhD at UCI (2018), chair: Alex Ihler
Moshe Lichman, PhD at UCI (2017), chair: Padhraic Smyth
William Lam, PhD at UCI (2017), chair: Rina Dechter
Wei Pei, PhD at UCI (2016), chair: Alex Ihler
Xiao Ling, PhD at UW (2015), chair: Dan Weld

Co-Authors, sorted by number of papers

Latest News

Summer 2020

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).

Spring 2020

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.

Winter 2020

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.

Fall 2019

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.

Sameer Singh

Group

Current Members

PhD Students

Visitors

Collaborating PhD Students

Masters Students

Undergraduates

Alumni

Sponsors

Doctoral Committees

Co-Authors, sorted by number of papers