Gal Chechik ![](/sites/default/files/person/GalChechik-grey15square.JPG) Gal Chechik is a Sr. Director of AI research, leading NVIDIA research in Israel. Gal is also a Professor of computer science at Bar-Ilan University. Before joining NVIDIA, he was a Staff Research Scientist at Google, a postdoctoral research associate at Stanford University, and received his PhD from the Hebrew University of Jerusalem. Gal published ~160 papers, including publications in *Nature Biotechnology*, *Cell* and *PNAS*, and holds 50 issued patents. His work won awards for outstanding papers at NeurIPS and ICML. Gal's group of [NVIDIA research in Israel](https://research.nvidia.com/labs/par/) spans algorithms, theory and applications of deep learning, with a focus on computer vision and reinforcement learning. A particular interest is in ***perception***, ***action***, and ***reasoning*** (PAR) and their intersection for the purpose of smarter generalization. Research Area(s) [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) [Generative AI](/index.php/research-area/generative-ai) Main Field of Interest [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) Google Scholar [https://scholar.google.com/citations?user=Wk2gAZUAAAAJ&hl=en](https://scholar.google.com/citations?user=Wk2gAZUAAAAJ&hl=en) ### Publications ### 2025 [Policy Optimized Text-to-Image Pipeline Design](/publication/2025-12_policy-optimized-text-image-pipeline-design) Uri Gadot, Rinon Gal, Yftah Zisser, [Gal Chechik](/person/gal-chechik), [Shie Mannor](/person/shie-mannor) [NeurIPS 2025](https://arxiv.org/abs/2505.21478) [Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image](/publication/2025-11_data-driven-loss-functions-inference-time-optimization-text-image) Sapir Yflah, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik) [WACV 2026](https://arxiv.org/pdf/2509.02295) [Identity-Motion Trade-offs in Text-to-Video Generation](/publication/2025-07_identity-motion-trade-offs-text-video-generation) [Yuval Atzmon](/person/yuval-atzmon), Rinon Gal, [Yoad Tewel](/person/yoad-tewel), [Yoni Kasten](/person/yoni-kasten), [Gal Chechik](/person/gal-chechik) [BMVC 2025](https://bmvc2025.bmva.org/proceedings/159/) [TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features](/index.php/publication/2025-06_tritex-learning-texture-single-mesh-triplane-semantic-features) Dana Cohen-Bar, Daniel Cohen-Or, [Gal Chechik](/index.php/person/gal-chechik), [Yoni Kasten](/index.php/person/yoni-kasten) [CVPR 2025](https://cvpr.thecvf.com/virtual/2025/poster/34561) [RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression](/publication/2025-06_rl-rc-dot-block-level-rl-agent-task-aware-video-compression) Uri Gadot, Assaf Shocher, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), [Assaf Hallak](/person/assaf-hallak) [CVPR 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Gadot_RL-RC-DoT_A_Block-level_RL_agent_for_Task-Aware_Video_Compression_CVPR_2025_paper.pdf) [Make It Count: Text-to-Image Generation with an Accurate Number of Objects](/publication/2025-06_make-it-count-text-image-generation-accurate-number-objects) Lital Binyamin, [Yoad Tewel](/person/yoad-tewel), Eran Hirsch, Royi Rassin, [Gal Chechik](/person/gal-chechik) [CVPR 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Binyamin_Make_It_Count_Text-to-Image_Generation_with_an_Accurate_Number_of_CVPR_2025_paper.pdf) [Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds](/publication/2025-06_adapting-unknown-training-free-audio-visual-event-perception-dynamic-thresholds) Eitan Shaar, Ariel Shaulov, [Gal Chechik](/person/gal-chechik), Lior Wolf [CVPR 2025](https://cvpr.thecvf.com/virtual/2025/poster/34008) [Add-it: Training-Free Object Insertion in Images via Pretrained Diffusion Models](/publication/2025-04_add-it-training-free-object-insertion-images-pretrained-diffusion-models) [Yoad Tewel](/person/yoad-tewel), Rinon Gal, Dvir Samuel, [Yuval Atzmon](/person/yuval-atzmon), Lior Wolf, [Gal Chechik](/person/gal-chechik) [ICLR 2025](https://iclr.cc/virtual/2025/poster/29207) [Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models, ](/publication/2025-04_lightning-fast-image-inversion-and-editing-text-image-diffusion-models) Dvir Samuel, Barak Meiri, [Haggai Maron](/person/haggai-maron), [Yoad Tewel](/person/yoad-tewel), Nir Darshan, Shai Avidan, [Gal Chechik](/person/gal-chechik), Rami Ben-Ari [ICLR 2025](https://iclr.cc/virtual/2025/poster/28072) [SoftTreeMax: Policy Gradient via tree expansion ](/publication/2025-02_softtreemax-policy-gradient-tree-expansion) [Gal Dalal](/person/gal-dalal), [Assaf Hallak](/person/assaf-hallak), Gugan Thoppe, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [ICML 2025](https://icml.cc/virtual/2025/poster/43515) ### 2024 [MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting](/publication/2024-12_maskedmimic-unified-physics-based-character-control-through-masked-motion) [Chen Tessler](/person/chen-tessler), Kelly Guo, Ofir Nabati, [Gal Chechik](/person/gal-chechik), Jason Peng [SIGGRAPH Asia 2024](https://research.nvidia.com/labs/par/maskedmimic/) [Breathing Life Into Sketches Using Text-to-Video Priors](/publication/2024-07_breathing-life-sketches-using-text-video-priors) Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, [Gal Chechik](/person/gal-chechik) [CVPR 2024](https://arxiv.org/abs/2311.13608) [LCM-Lookahead for Encoder-based Text-to-Image Personalization](/publication/2024-04_lcm-lookahead-encoder-based-text-image-personalization) Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or [ECCV 2024](https://arxiv.org/abs/2404.03620) [ConsiStory: Training-Free Consistent Text-to-Image Generation](/publication/2024-02_consistory-training-free-consistent-text-image-generation) Yoad Tewel, Omri Kaduri, Rinon Gal, [Yoni Kasten](/person/yoni-kasten), Lior Wolf, [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon) [SIGGRAPH](https://arxiv.org/abs/2402.03286) [Generating images of rare concepts using pre-trained diffusion models](/publication/2024-01_generating-images-rare-concepts-using-pre-trained-diffusion-models) Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, [Gal Chechik](/person/gal-chechik) [AAAI 2024](https://arxiv.org/abs/2304.14530) ### 2023 [Point-Cloud Completion with Pretrained Text-to-image Diffusion Models](/publication/2023-12_point-cloud-completion-pretrained-text-image-diffusion-models) [Yoni Kasten](/person/yoni-kasten), Ohad Rahamim, [Gal Chechik](/person/gal-chechik) [NeurIPS 2023](https://arxiv.org/pdf/2306.10533.pdf) [Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models](/publication/2023-12_domain-agnostic-tuning-encoder-fast-personalization-text-image-models) Moab Arar, Rinon Gal, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or, Ariel Shamir, Amit Bermano [SIGGRAPH Asia 2023](https://arxiv.org/abs/2307.06925) [Norm-guided latent space exploration for text-to-image generation](/publication/2023-10_norm-guided-latent-space-exploration-text-image-generation) Dvir Samuel, Rami Ben-Ari, Nir Darshan, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik) [NeurIPS 2023](https://nips.cc/virtual/2023/poster/70922) [Syntactic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment](/publication/2023-10_syntactic-binding-diffusion-models-enhancing-attribute-correspondence-through) Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, [Gal Chechik](/person/gal-chechik) [NeurIPS 2023](https://nips.cc/virtual/2023/oral/73870) Oral presentation [Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models](/publication/2023-08_encoder-based-domain-tuning-fast-personalization-text-image-models) Rinon Gal, Moab Arar, [Yuval Atzmon](/person/yuval-atzmon), Amit H. Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or [SIGGRAPH 2023](https://s2023.siggraph.org/) [Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models](/publication/2023-08_encoder-based-domain-tuning-fast-personalization-text-image-models-0) Rinon Gal, Moab Arar, [Yuval Atzmon](/person/yuval-atzmon), Amit Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or [SIGGRAPH 2023](https://arxiv.org/abs/2302.12228) [Key-Locked Rank One Editing for Text-to-Image Personalization](/publication/2023-08_key-locked-rank-one-editing-text-image-personalization) Yoad Tewel, Rinon Gal, [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon) [SIGGRAPH 2023](https://s2023.siggraph.org/) [Guided Deep Kernel Learning](/publication/2023-08_guided-deep-kernel-learning) Idan Achituve, [Gal Chechik](/person/gal-chechik), Ethan Fetaya [UAI 2023](https://arxiv.org/abs/2302.09574) [Learning to Initiate and Reason in Event-Driven Cascading Processes](/publication/2023-07_learning-initiate-and-reason-event-driven-cascading-processes) [Yuval Atzmon](/person/yuval-atzmon), [Eli Meirom](/person/eli-meirom), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [ICML 2023](https://proceedings.mlr.press/v202/atzmon23a/atzmon23a.pdf) [Train Hard, Fight Easy: Robust Meta Reinforcement Learning](/publication/2023-06_train-hard-fight-easy-robust-meta-reinforcement-learning) Ido Greenberg, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), [Eli Meirom](/person/eli-meirom) [NeuroIPS 2023](https://arxiv.org/pdf/2301.11147) [CALM: Conditional Adversarial Latent Models for Directable Virtual Characters](/publication/2023-05_calm-conditional-adversarial-latent-models-directable-virtual-characters) [Chen Tessler](/person/chen-tessler), [Yoni Kasten](/person/yoni-kasten), Yunrong Guo, [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), Xue Bin Peng [SIGGRAPH 2023](https://s2023.siggraph.org/) [Equivariant Architectures for Learning in Deep Weight Spaces](/publication/2023-03_equivariant-architectures-learning-deep-weight-spaces) Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron) [ICML 2023](https://openreview.net/pdf?id=SCU1xlr9Y4) [Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs](/publication/2023-01_implementing-reinforcement-learning-datacenter-congestion-control-nvidia-nics) Benjamin Fuhrer, Yuval Shpigelman, [Chen Tessler](/person/chen-tessler), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), Eitan Zahavy, [Gal Dalal](/person/gal-dalal) [CCGrid 2023](https://arxiv.org/abs/2207.02295) ### 2022 ["This is my unicorn, Fluffy": Personalizing frozen vision-language representations](/publication/2022-11_my-unicorn-fluffy-personalizing-frozen-vision-language-representations) Niv Cohen, Rinon Gal, [Eli Meirom](/person/eli-meirom), [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon) [ECCV 2022](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136800544.pdf) [On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning](/publication/2022-10_covariate-shift-latent-confounders-imitation-and-reinforcement-learning) Guy Tenneholtz, [Assaf Hallak](/person/assaf-hallak), [Gal Dalal](/person/gal-dalal), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [ICLR](https://iclr.cc/) [An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion](/publication/2022-08_image-worth-one-word-personalizing-text-image-generation-using-textual) Rinon Gal, Yuval Alaluf, [Yuval Atzmon](/person/yuval-atzmon), Or Patashnik, Amit H. Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or [ICLR 2023](https://iclr.cc/virtual/2023/oral/12700) Top 25% [Optimizing tensor network contraction using reinforcement learning](/publication/2022-06_optimizing-tensor-network-contraction-using-reinforcement-learning) [Eli Meirom](/person/eli-meirom), [Haggai Maron](/person/haggai-maron), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [International Conference on Machine Learning, PMLR 162:15278-15292, 2022](https://proceedings.mlr.press/v162/meirom22a.html) [StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators](/publication/2022-05_stylegan-nada-clip-guided-domain-adaptation-image-generators) Rinon Gal, Or Patashnik, [Haggai Maron](/person/haggai-maron), Amir Bermano, [Gal Chechik](/person/gal-chechik), Daniel Cohen-Or [SIGGRAPH 2022](https://s2022.siggraph.org/) ["This is my unicorn, Fluffy": Personalizing frozen vision-language representations](/publication/2022-04_my-unicorn-fluffy-personalizing-frozen-vision-language-representations) Niv Cohen, Rinon Gal, [Gal Chechik](/person/gal-chechik), [Yuval Atzmon](/person/yuval-atzmon) [ECCV 2022](https://eccv2022.ecva.net/) Oral [Reinforcement Learning for Datacenter Congestion Control](/publication/2022-02_reinforcement-learning-datacenter-congestion-control) [Chen Tessler](/person/chen-tessler), Yuval Shpigelman, [Gal Dalal](/person/gal-dalal), Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, [Gal Chechik](/person/gal-chechik), [Shie Mannor](/person/shie-mannor) IAAI 2022 ### 2021 [Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction](/publication/2021-10_improve-agents-without-retraining-parallel-tree-search-policy-correction) [Gal Dalal](/person/gal-dalal), [Assaf Hallak](/person/assaf-hallak), [Steven Dalton](/person/steven-dalton), [Iuri Frosio](/person/iuri-frosio), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [Advances in Neural Information Processing Systems 34 (NeurIPS 2021)](https://nips.cc/Conferences/2021/) [Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination](/publication/2021-07_known-unknowns-learning-novel-concepts-using-exploratory-reasoning-elimination) Harsh Agrawal, [Eli Meirom](/person/eli-meirom), [Yuval Atzmon](/person/yuval-atzmon), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [ Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Inte…](https://www.auai.org/uai2021/accepted_papers) Oral [Controlling graph dynamics with reinforcement learning and graph neural networks](/publication/2021-06_controlling-graph-dynamics-reinforcement-learning-and-graph-neural-networks-0) [Eli Meirom](/person/eli-meirom), [Haggai Maron](/person/haggai-maron), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik) [ICML 2021](http://proceedings.mlr.press/v139/meirom21a/meirom21a.pdf) [From local structures to size generalization in graph neural networks](/index.php/publication/2021-06_local-structures-size-generalization-graph-neural-networks) Gilad Yehudai, Ethan Fetaya, [Eli Meirom](/index.php/person/eli-meirom), [Gal Chechik](/index.php/person/gal-chechik), [Haggai Maron](/index.php/person/haggai-maron) [ICML 2021](http://proceedings.mlr.press/v139/yehudai21a/yehudai21a.pdf) [Auxiliary Learning by Implicit Differentiation](/publication/2021-04_auxiliary-learning-implicit-differentiation) Aviv Navon, Idan Achituve, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik), Ethan Fetaya [ICLR 2021](https://arxiv.org/abs/2007.02693) [Learning the Pareto Front with Hypernetworks](/publication/2021-04_learning-pareto-front-hypernetworks) Aviv Navon, Aviv Shamsian, Ethan Fetaya, [Gal Chechik](/person/gal-chechik) [ICLR | 2021](https://iclr.cc/) [Planning and Learning with Adaptive Lookahead](/publication/2021-01_planning-and-learning-adaptive-lookahead) Aviv Rosenberg, [Assaf Hallak](/person/assaf-hallak), [Shie Mannor](/person/shie-mannor), [Gal Chechik](/person/gal-chechik), [Gal Dalal](/person/gal-dalal) [Arxiv](https://arxiv.org/abs/2201.12403) [Federated Learning with Heterogeneous Architectures using Graph HyperNetworks](/publication/2021-01_federated-learning-heterogeneous-architectures-using-graph-hypernetworks) Or Litany, [Haggai Maron](/person/haggai-maron), David Acuna, [Jan Kautz](/person/jan-kautz), [Gal Chechik](/person/gal-chechik), Sanja Fidler [Self-Supervised Learning for Domain Adaptation on Point-Clouds](/publication/2021-01_self-supervised-learning-domain-adaptation-point-clouds) Idan Achituve, [Haggai Maron](/person/haggai-maron), [Gal Chechik](/person/gal-chechik) [Winter Conference on Applications of Computer Vision (WACV), 2021](https://arxiv.org/pdf/2003.12641.pdf) [From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors](/index.php/publication/2021-01_generalized-zero-shot-learning-long-tail-class-descriptors) Dvir Samuel, [Yuval Atzmon](/index.php/person/yuval-atzmon), [Gal Chechik](/index.php/person/gal-chechik) [Winter Conference on Applications of Computer Vision (WACV) 2021](http://wacv2021.thecvf.com/home) ### 2020 [A Causal View of Compositional Zero-Shot Recognition](/publication/2020-12_causal-view-compositional-zero-shot-recognition) [Yuval Atzmon](/person/yuval-atzmon), Felix Kreuk, Uri Shalit, [Gal Chechik](/person/gal-chechik) [Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)](https://neurips.cc/Conferences/2020/) [ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization](/publication/2020-11_zest-zero-shot-learning-text-descriptions-using-textual-similarity-and-visual) Tzuf Paz-Argaman, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik), Reut Tsarfaty [Findings of EMNLP](https://2020.emnlp.org/) [Learning Object Permanence from Video](/publication/2020-10_learning-object-permanence-video) Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, [Gal Chechik](/person/gal-chechik) [ECCV 2020](https://arxiv.org/abs/2006.15327) [On Learning Sets of Symmetric Elements](/index.php/publication/2020-07_learning-sets-symmetric-elements) [Haggai Maron](/index.php/person/haggai-maron), Or Litany, [Gal Chechik](/index.php/person/gal-chechik), Ethan Fetaya [International Conference on Machine Learning (ICML) 2020](https://arxiv.org/pdf/2002.08599) Outstanding Paper, ICML 2020 [Contrastive Learning for Weakly Supervised Phrase Grounding](/index.php/publication/2020-06_contrastive-learning-weakly-supervised-phrase-grounding) Tanmay Gupta, [Arash Vahdat](/index.php/person/arash-vahdat), [Gal Chechik](/index.php/person/gal-chechik), Xiaodong Yang, [Jan Kautz](/index.php/person/jan-kautz), Derek Hoiem [European Conference on Computer Vision (ECCV) 2020 (Spotlight)](https://arxiv.org/abs/2006.09920) [Learning Canonical Representations for Scene Graph to Image Generation](/publication/2020-06_learning-canonical-representations-scene-graph-image-generation) Roei Herzig, Amir Bar, Huijuan Xu, [Gal Chechik](/person/gal-chechik), Trevor Darrell, Amir Globerson [ECCV 2020](https://arxiv.org/abs/1912.07414) ### 2019 [Joint Optimization for Cooperative Image Captioning](/publication/2019-11_joint-optimization-cooperative-image-captioning) Gilad Vered, Gal Oren, [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik) [International conference on computer vision (ICCV)](http://openaccess.thecvf.com/content_ICCV_2019/papers/Vered_Joint_Optimization_for_Cooperative_Image_Captioning_ICCV_2019_paper.) [Informative Object Annotations: Tell Me Something I Don't Know](/publication/2019-03_informative-object-annotations-tell-me-something-i-dont-know) Lior Bracha, [Gal Chechik](/person/gal-chechik) Computer Vision and Pattern Recognition [Adaptive Confidence Smoothing for Generalized Zero-Shot Learning](/publication/2019-03_adaptive-confidence-smoothing-generalized-zero-shot-learning) [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik) Computer Vision and Pattern Recognition (CVPR) 2019 ### 2018 [Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction](/publication/2018-12_mapping-images-scene-graphs-permutation-invariant-structured-prediction) Roei Herzig, Moshiko Raboh, [Gal Chechik](/person/gal-chechik), Jonathan Berant, Amir Globerson [Neural Information processing systems (NeurIPS)](http://papers.nips.cc/paper/7951-mapping-images-to-scene-graphs-with-permutation-invariant-structured-prediction) [Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning](/publication/2018-05_probabilistic-and-or-attribute-grouping-zero-shot-learning) [Yuval Atzmon](/person/yuval-atzmon), [Gal Chechik](/person/gal-chechik) [The conference on uncertainty in artificial intelligence (UAI 2018)](http://auai.org/uai2018/) ### 2017 [Group online adaptive learning](/publication/2017-10_group-online-adaptive-learning) Alon Zweig, [Gal Chechik](/person/gal-chechik) [Journal Machine Learning](https://link.springer.com/epdf/10.1007/s10994-017-5661-5?author_access_token=ashLAJKa_v5LXlnRBIWcyPe4RwlQNchNByi7wbcMAY5zAt2h-4_) [Context-aware Captions from Context-agnostic Supervision](/publication/2017-04_context-aware-captions-context-agnostic-supervision) Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, [Gal Chechik](/person/gal-chechik) [Computer Vision and Pattern Recognition](https://arxiv.org/abs/1701.02870) [Learning From Noisy Large-Scale Datasets With Minimal Supervision](/publication/2017-04_learning-noisy-large-scale-datasets-minimal-supervision) Andreas Veit, Neil Alldrin, [Gal Chechik](/person/gal-chechik), Ivan Krasin, Abhinav Gupta, Serge Belongie [Computer Vision and Pattern Recognition](https://arxiv.org/abs/1701.01619) ### 2016 [Learning to generalize to new compositions in image understanding](/publication/2016-08_learning-generalize-new-compositions-image-understanding) [Yuval Atzmon](/person/yuval-atzmon), Jonathan Berant, Vahid Kezami, Amir Globerson, [Gal Chechik](/person/gal-chechik) [Arxiv](https://arxiv.org/abs/1608.07639) ### 2015 [Learning Sparse Metrics, One Feature at a Time](/publication/2015-12_learning-sparse-metrics-one-feature-time) [Yuval Atzmon](/person/yuval-atzmon), Uri Shalit, [Gal Chechik](/person/gal-chechik) [Journal of Machine Learning Research](https://proceedings.mlr.press/v44/atzmon2015.html) [Graph Positional Encoding via Random Feature Propagation](/publication/_graph-positional-encoding-random-feature-propagation) Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, [Gal Chechik](/person/gal-chechik), [Haggai Maron](/person/haggai-maron) [ICML 2023](https://proceedings.mlr.press/v202/eliasof23a/eliasof23a.pdf)