Dec. 18, 2023, 9:29 p.m. | Yannic Kilcher

Yannic Kilcher www.youtube.com

OUTLINE:
0:00 - Intro
0:20 - Graph of Circuits with GNN for Exploring the Optimal Design Space
15:20 - Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
22:11 - Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
28:30 - Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?

Papers:
Graph of Circuits with GNN for Exploring the Optimal Design Space https://openreview.net/pdf?id=VNjJAWjuEU
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss https://arxiv.org/abs/2310.18700
Cluster-aware Semi-supervised Learning: Relational Knowledge …

adversarial assessment cluster clustering collaborative collaborative filtering design distillation evaluation evaluation metrics filtering gnn graph human images intro knowledge loss metrics neurips perception privacy relational semi-supervised semi-supervised learning session space supervised learning wednesday

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Data Science Analyst

@ Mayo Clinic | AZ, United States

Sr. Data Scientist (Network Engineering)

@ SpaceX | Redmond, WA