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StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators


Aug 02, 2021
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or


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Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction


Jul 04, 2021
Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik


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Personalized Federated Learning with Gaussian Processes


Jun 29, 2021
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya


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DETReg: Unsupervised Pretraining with Region Priors for Object Detection


Jun 08, 2021
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

* preprint, under review 

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Distributional Robustness Loss for Long-tail Learning


Apr 07, 2021
Dvir Samuel, Gal Chechik


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Personalized Federated Learning using Hypernetworks


Mar 08, 2021
Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik


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Reinforcement Learning for Datacenter Congestion Control


Feb 18, 2021
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor


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GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning


Feb 15, 2021
Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya


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Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning


Jan 26, 2021
Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas Breuel, Gal Chechik, Yale Song


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How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks


Oct 26, 2020
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik


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Teacher-Student Consistency For Multi-Source Domain Adaptation


Oct 20, 2020
Ohad Amosy, Gal Chechik


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On Size Generalization in Graph Neural Networks


Oct 17, 2020
Gilad Yehudai, Ethan Fetaya, Eli Meirom, Gal Chechik, Haggai Maron


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Learning the Pareto Front with Hypernetworks


Oct 08, 2020
Aviv Navon, Aviv Shamsian, Gal Chechik, Ethan Fetaya


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ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization


Oct 07, 2020
Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty

* 11 pages, Findings of EMNLP 2020 

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Learning Object Detection from Captions via Textual Scene Attributes


Sep 30, 2020
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson


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Compositional Video Synthesis with Action Graphs


Jul 13, 2020
Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson


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A causal view of compositional zero-shot recognition


Jun 25, 2020
Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik


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Auxiliary Learning by Implicit Differentiation


Jun 22, 2020
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya


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Contrastive Learning for Weakly Supervised Phrase Grounding


Jun 17, 2020
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem


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Long-tail learning with attributes


Apr 11, 2020
Dvir Samuel, Yuval Atzmon, Gal Chechik


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Self-Supervised Learning for Domain Adaptation on Point-Clouds


Mar 29, 2020
Idan Achituve, Haggai Maron, Gal Chechik


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Learning Object Permanence from Video


Mar 26, 2020
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik


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On Learning Sets of Symmetric Elements


Feb 20, 2020
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya


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Learning Canonical Representations for Scene Graph to Image Generation


Dec 16, 2019
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson


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Cooperative image captioning


Jul 26, 2019
Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik


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Few-Shot Learning with Per-Sample Rich Supervision


Jun 10, 2019
Roman Visotsky, Yuval Atzmon, Gal Chechik

* Accepted to AGI 2019 (oral) 

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Differentiable Scene Graphs


Mar 26, 2019
Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson


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Informative Object Annotations: Tell Me Something I Don't Know


Dec 26, 2018
Lior Bracha, Gal Chechik


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