Spring 2018 GRASP Seminar Series: Kate Saenko - March 16th
Data Shift Happens, What To Do About It? (Kate Saenko, Boston University) | ECCV CVinW Workshop
Learning Generalizable Visual Representations - Kate Saenko
More Language, Less Labeling with Kate Saenko - #580
Keynote: Kate Saenko (Boston University)
Mitigating Dataset Bias (BMVC 2020 Keynote)
Kate Saenko: How Should We Approach AI-Generated Misinformation (CVPR22 Workshop on Media Forensics)
Fall 2018 GRASP Seminar: GRASP Research Overview - September 14th
Addressing the High Energy Costs of Learning in Artificial Intelligence Systems
MIC 2018 - Women in Machine Intelligence (WiMI) Panel
Learning from Biased and Small Datasets - Red Hat Research Days US 2020
Keynote: Overcoming Dataset Bias in Machine Learning KateSaenko Boston University MIT-IBM Watson Lab
Black-box explanation of object detectors via saliency maps (CVPR 21 Oral)
Fairness, Accountability, Transparency and Ethics (FATE) Tutorial CVPR 2020 - Q&A
FALL 2021 GRASP On Robotics- Cynthia Matuszek, University of Maryland, Baltimore County
AIR Seminar Series: Ahmed Taha & Kuniaki Saito, PhD, University of Maryland and Boston University
Don't Touch. Distance and proximity in literature and in the digital space [dt.]
GT Experts Bring Diverse Perspectives on the Challenges and Importance of Algorithmic Fairness
CyCADA - (CYCLE-CONSISTENT ADVERSARIAL DOMAIN ADAPTATION)