Karma Lectures
These Cornell seminars concern topics related to Artificial Intelligence. Attend them to gain wider understanding of the area. They also earn you Karma points for CS 4700.
- When: 1/28 11:40am-12:40pm
Where: Gates G01
Who: Dylan Hadfield-Menell, UC Berkeley
Title: The Principal-Agent Value Alignment Problem in Artificial Intelligence
https://cornell.mediasite.com/Mediasite/Play/f91bf4ab95b34eb0b67093612fbbe6381d
- When: 2/20 11:40am-12:40pm
Where: Gates G01
Who: Amir Gholaminejad, UC Berkeley
Title: An Integrated Approach for Efficient Neural Network Design, Training, and Inference
https://cornell.mediasite.com/Mediasite/Play/ac54888fd85e4b209c0bf8076c313e461d
- When: 2/27 11:40am-12:40pm
Where: Gates G01
Who: Simon Du, Princeton University
Title: Foundations of Learning Systems with (Deep) Function Approximators
https://cornell.mediasite.com/Mediasite/Play/bc0f9eaf6323477da889406741d9b7921d
- When: 3/5 11:40am-12:40pm
Where: Gates G01
Who: Kevin Ellis, MIT
Title: Building Machines that Discover Generalizable, Interpretable Knowledge
https://cornell.mediasite.com/Mediasite/Play/7f3af2aecb264fa1bb18f746091f07491d
- When: 3/10 11:40am-12:40pm
Where: Gates G01
Who: Shenlong Wang, University of Toronto, Stanford
Title: Learning to Drive with a Touch of Human Knowledge
https://cornell.mediasite.com/Mediasite/Play/c859a6ad8d704cb39da444279bfa87391d
- When: 3/12 11:40am-12:40pm
Where: Gates G01
Who: Emma Pierson, Stanford
Title: Data Science Methods to Reduce Inequality and Improve Healthcare
https://cornell.mediasite.com/Mediasite/Play/1223afcf83844cab8bedfbe5e9c2dd631d
- When: 3/17 11:40am-12:40pm
Where: Gates G01
Who: Somil Bansal, UC Berkeley
Title: Safe and Data-efficient Learning for Robotics
https://vod.video.cornell.edu/media/CS+Colloquium-+Somil+Bansal+/1_t3twlqm5/156513711
- When: 3/26 11:40am-12:40pm
Where: Gates G01
Who: Gagandeep Singh, ETH Zurich
Title: Certified Artificial Intelligence
https://vod.video.cornell.edu/media/CS+Colloquium-+Gagandeep+Singh/1_qg7o5l3f/156513711
- When: 4/7 11:40am-12:40pm
Where: Gates G01
Who: David Fridovich-Keil, UC Berkeley
Title: Practical Algorithms for Trustworthy Autonomy
https://vod.video.cornell.edu/media/CS+Colloquium-+David+Fridovich-Keil/1_y8uq16g0/156513711
- When: 4/9 11:40am-12:40pm
Where: Gates G01
Who: Baharan Mirzasoleiman, Stanford
Title: Efficient Machine Learning via Data Summarization
https://vod.video.cornell.edu/media/CS+Colloquium-+Baharan+Mirzasoleiman/1_oowfc32t/156513711
- When: 4/14 11:40am-12:40pm
Where: Gates G01
Who: Tzu-Mao Li, UC Berkeley
Title: Beyond Convolutional Neural Networks: Differentiable Visual Computing
https://vod.video.cornell.edu/media/CS+Colloquium-+Tzu-Mao+Li/1_3qlpdli0/156513711
- When: 4/16 11:40am-12:40pm
Where: Gates G01
Who: Tapomayukh Bhattacharjee, University of Washington
Title: Building Caregiving Robots that can touch, sense, and feed people
https://vod.video.cornell.edu/media/CS+Colloquium-+Tapomayukh+Bhattacharjee/1_2sl6lym3
- When: 4/21 11:40am-12:40pm
Where: Gates G01
Who: Lily Weng, MIT
Title: Evaluating Robustness of Neural Networks
https://vod.video.cornell.edu/media/CS+Colloquium-+Lily+Weng/1_1q6zajy6
- When: 4/28 11:40am-12:40pm
Where: Gates G01
Who: Ashia Wilson, UC Berkeley
Title: TBA
https://cornell.zoom.us/j/276979194