MARS: Memory Attention-Aware Recommender System
Petridish: Efficient Forward Neural Architecture Search [0.1]
Petridish, is a neural architecture search (NAS) algorithm which iteratively adds shortcut connections to existing network layers. The added shortcut connections effectively perform gradient boosting on the augmented layers. The proposed algorithm is motivated by…
HCI, IR and the search for better search with Dr. Susan Dumais
Dr. Susan Dumais knows you have things to do, and if you need help finding stuff to get them done (and you probably do) then her long and illustrious career in search technologies has been…
Supervised Deep Hashing for Efficient Audio Retrieval [Video]
Audio Event Classification (AEC) is defined as the inherent ability of machines to assign a semantic label to a given audio segment. In spite of multiple efforts in learning better and robust audio representations (or…
KDD 2019 Workshop on Truth Discovery and Fact Checking: Theory and Practice
The first workshop on Truth Discovery and Fact Checking: Theory and practice will provide a forum where researchers and practitioners from academia, government and industry can share insights and identify new challenges and opportunities in…
Microsoft at KDD 2019
Microsoft is excited to be a Bronze sponsor of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. We will have over 30 Microsoft attendees present at the conference. Stop by our booth…