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Pushmeet Kohli — all works

33 works · ← Pushmeet Kohli

  1. Improved protein structure prediction using potentials from deep learning ↗Nature · no summary yetAndrew Senior et al.2020 · 3,388 citations
  2. A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetNasrin Mostafazadeh et al.2016 · 1,116 citations
  3. Magnetic control of tokamak plasmas through deep reinforcement learning ↗Nature · no summary yetJonas Degrave et al.2022 · 756 citations
  4. Efficient Human Pose Estimation from Single Depth Images ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetJamie Shotton et al.2012 · 582 citations
  5. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding ↗arXiv:1810.02338 · no summary yetKexin Yi et al.2018 · 407 citations
  6. Visual StorytellingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.2016 · 356 citations
  7. Efficient regression of general-activity human poses from depth images ↗International Conference on Computer Vision · no summary yetRoss Girshick et al.2011 · 348 citations
  8. Graph Matching Networks for Learning the Similarity of Graph Structured Objects ↗arXiv (Cornell University) · no summary yetYujia Li et al.2019 · 298 citations
  9. Analysing Mathematical Reasoning Abilities of Neural ModelsarXiv:1904.01557David Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 288 citations
  10. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision ↗arXiv:1904.12584 · no summary yetJiayuan Mao et al.2019 · 241 citations
  11. Challenges in Detoxifying Language ModelsFindings of the Association for Computational LinguisticsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 213 citations
  12. Mathematical Discoveries from Program Search with Large Language ModelsNature 625Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.2023 · 200 citations
  13. Neuro-Symbolic Program Synthesis ↗arXiv:1611.01855 · no summary yetEmilio Parisotto et al.2016 · 152 citations
  14. Scalable Verified Training for Provably Robust Image Classification ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetSven Gowal et al.2019 · 149 citations
  15. Picture: A probabilistic programming language for scene perception ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetTejas D. Kulkarni et al.2015 · 145 citations
  16. Neural Scene De-rendering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli2017 · 119 citations
  17. Reducing Sentiment Bias in Language Models via Counterfactual Evaluation ↗arXiv:1911.03064 · no summary yetPo-Sen Huang et al.2019 · 104 citations
  18. Learning to Understand Goal Specifications by Modelling Reward ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2018 · 91 citations
  19. Sparse projections for high-dimensional binary codes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYan Xia et al.2015 · 84 citations
  20. Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis ↗arXiv:1805.04276 · no summary yetRudy Bunel et al.2018 · 66 citations
  21. GeoF: Geodesic Forests for Learning Coupled Predictors ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPeter Kontschieder et al.2013 · 63 citations
  22. A Principled Deep Random Field Model for Image Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPushmeet Kohli, Anton Osokin, Stefanie Jegelka2013 · 59 citations
  23. Learning Continuous Semantic Representations of Symbolic Expressions ↗arXiv:1611.01423 · no summary yetMiltiadis Allamanis et al.2016 · 57 citations
  24. Solving Mixed Integer Programs Using Neural Networks ↗arXiv:2012.13349 · no summary yetVinod Nair et al.2020 · 52 citations
  25. Can Neural Networks Understand Logical Entailment? ↗arXiv:1802.08535 · no summary yetRichard Evans et al.2018 · 44 citations
  26. Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ↗arXiv (Cornell University) · no summary yetAditya Paliwal et al.2019 · 40 citations
  27. A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities ↗arXiv (Cornell University) · no summary yetSimon Köhl et al.2019 · 23 citations
  28. Strong Generalization and Efficiency in Neural Programs ↗arXiv (Cornell University) · no summary yetYujia Li et al.2020 · 22 citations
  29. Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming ↗arXiv:2010.11645 · no summary yetSumanth Dathathri et al.2020 · 21 citations
  30. Jointly Learning "What" and "How" from Instructions and Goal-States. ↗International Conference on Learning Representations · no summary yetDzmitry Bahdanau et al.2018 · 3 citations
  31. R. Shoulder 0.35 0.40 L. Elbow 0.15 0.15 ↗no summary yetRoss Girshick et al.2015

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