Gal Chechik

Gal Chechik joined NVIDIA in October 2018 as a Director of AI Research, to lead NVIDIA research in Israel. Prior to joining NVIDIA, he was a Staff Research Scientist at Google, working on Deep Learning, Image Understanding, Search, and Machine Hearing. Gal is an Associate Proffessor at the Gonda Brain research institute at Bar-Ilan University. Before joining the faculty, he was a postdoctoral research associate at Stanford Univerity, and received his PhD from the Hebrew University of Jerusalem. Gal published more than 70 papers, including publications in Nature Biotechnology, Cell and PNAS, and holds 40 issued patents. He was an Alon Fellow and a Complexity Fellow.  

Gal's research interests are focusing on systems that learn from their environment, both synthetic and biological: brains and machines. Recently he is particularly interested in developing algorithms that learn with few samples, use language and knowledge, and generalize to new combinations, for smarter machine perception. 

Recent Publications

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Probabilistic AND-OR attribute grouping for Zero-shot learning
Context-aware Captions from Context-agnostic Supervision
Group online adaptive learning
Instance-Level Label Propagation with Multi-Instance Learning
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Openimages: A public dataset for large-scale multi-label and multi-class image classification

 

Additional Research Areas: