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An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion


Aug 02, 2022
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

* Project page: https://textual-inversion.github.io 

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Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs


Jul 05, 2022
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal


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Reinforcement Learning with a Terminator


May 30, 2022
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal


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Optimizing Tensor Network Contraction Using Reinforcement Learning


Apr 18, 2022
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik


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"This is my unicorn, Fluffy": Personalizing frozen vision-language representations


Apr 04, 2022
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon


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Example-based Hypernetworks for Out-of-Distribution Generalization


Apr 02, 2022
Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart

* First two authors contributed equally to this work. Our code and data are available at: https://github.com/TomerVolk/Hyper-PADA 

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Learning to reason about and to act on physical cascading events


Feb 02, 2022
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik


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Multi-Task Learning as a Bargaining Game


Feb 02, 2022
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya


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Planning and Learning with Adaptive Lookahead


Jan 28, 2022
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal


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Federated Learning with Heterogeneous Architectures using Graph HyperNetworks


Jan 20, 2022
Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler


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