Government
Probably Approximately Correct Constrained Learning
Learning has become a core component of the modern information systems we increasingly rely upon to select job candidates, analyze medical data, and control "smart" applications (home, grid, city).
Probably Approximately Correct Constrained Learning
Learning has become a core component of the modern information systems we increasingly rely upon to select job candidates, analyze medical data, and control "smart" applications (home, grid, city).
We are gen Z โ and AI is our future. Will that be good or bad?
An older family member recently showed me a video on Facebook. I pressed play and saw Donald Trump accusing India of violating the ceasefire agreement with Pakistan. If it weren't so out of character, I would have been fooled too. After cross-referencing the video with news sources, it became clear to me that Trump had been a victim of AI false imaging. I explained this but my family member refused to believe me, insisting that it was real because it looked real.
End-to-End Learning and Intervention in Games
Therefore, learning about the agents is a prerequisite for intervention.
KG: Learning From Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan
First, we propose to create coarse ( Is the KG useful?) and fine ( Which
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees Jue Wang
Communication compression is a crucial technique for modern distributed learning systems to alleviate their communication bottlenecks over slower networks.
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Cornell University
We study the problem of unlearning datapoints from a learnt model.
