talks

invited talks

A brief biosketch for invited talks.

• (Upcoming Keynote:) ICCV DataComps Workshop
  • Oct 2, 2023
• (Upcoming Keynote:) ACL Rep4NLP Workshop
  • July 13, 2023
• (Upcoming) Google Responsible AI
  • June 14, 2023
• Cohere for AI
  • Understanding Dataset Difficulty with 𝒱-Usable Information
  • Mar 14, 2023
• Spotify Research
  • Designing Controls and Filters for Dataset Generation
  • Feb 28, 2023
• Amazon Data-Centric AI
  • What’s in a Dataset? Interpreting datasets to enable better data creation
  • Feb 3, 2023
• CAIS++ Seminar
  • Contextualizing Bias in Hate Speech Detection
  • Feb 1, 2023
• SoCal NLP Symposium
  • Generating Datasets for Robust Generalization
  • Nov 18, 2022
• USC Center for AI in Society (CAIS) Seminar
  • Contextualizing Bias in Hate Speech Detection through Annotator Perspectives
  • Nov 9, 2022
• USC Viterbi Computer Science Department Advisory Board
  • Overview of Research: Data-Centric NLP
  • Nov 8, 2022
• Keynote: ACL Spotlight Talks for Young Rising Stars
  • The Devil’s in the Data: Mapping and Generating Datasets for Robust Generalization
  • May 23, 2022
• UC-Irvine CS Seminar
  • Mapping and Generating Datasets for Robust Generalization
  • May 13, 2022
• IFDS Ethics Seminar @ UCSC
  • Rethinking Dataset Construction: : The Role of Generative Modeling and Annotator Perspectives
  • Mar 16, 2022
• Machine Learning Research Group @ Oracle
  • What’s in your Data? Mapping Datasets and Exploring Data Usability
  • Oct 20, 2021
• NERT Seminar @ Georgetown University
  • Addressing Biases for Robust, Generalizable AI
  • Feb 24, 2020
• NLP Seminar @ Georgia Tech
  • Addressing Biases for Robust, Generalizable AI
  • Feb 12, 2020
• E+D Product Leads Conference: Microsoft (Virtual)
  • Addressing Bias in Datasets and Models
  • Nov 2, 2020
• Rising Stars in EECS: University of Illinois, Urbana-Champaign.
  • Biases and Learning Challenges in Natural Language Processing
  • Oct 30, 2019
• Colloquium: Department of Linguistics, University of Washington
  • Sprucing up a Dataset: Adversarially Filtering Dataset Artifacts
  • Oct 18, 2019
• AI2 Seminar: Allen Institute for AI
  • Learning Challenges in Natural Language Processing
  • Apr 8, 2019
• Stanford NLP Seminar: Stanford University
  • Learning Challenges in Natural Language Processing
  • Apr 4, 2019
• JHU CLSP Seminar: Johns Hopkins University, Baltimore
  • Learning Challenges in Natural Language Processing
  • Mar 13, 2019
• CILVR Seminar New York University, New York
  • Learning Challenges in Natural Language Processing
  • Mar 11, 2019
• Seminar, Microsoft Research, Redmond
  • Learning Challenges in Natural Language Processing
  • Jan 22, 2019
• AI Breakthroughs Workshop, Microsoft Research, Redmond
  • Representation Learning with Linguistic Structure
  • Sep 15, 2018
• NorthWest NLP: Microsoft Research, Redmond
  • Syntactic Scaffolds for Semantic Structures
  • Apr 27, 2018

panels

• AImaginings for USC Sidney Harmon Academy for Polymathic Studies: Polymathic Pizza (with Kate Crawford)
  • Apr 5, 2023
• DADC workshop at NAACL
  • Jul 14, 2022
• Responsible AI Symposium 2022 for AILA
  • Jun 17, 2022