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Richard S. Zemel — all works

215 works · page 1 of 3 · 1–100 · ← Richard S. Zemel

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  1. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  2. Prototypical Networks for Few-shot Learning ↗arXiv:1703.05175 · no summary yetJake Snell, Kevin Swersky, Richard S. Zemel2017 · 5,249 citations
  3. Fairness through awareness ↗no summary yetCynthia Dwork et al.2012 · 3,499 citations
  4. Siamese Neural Networks for One-shot Image Recognition ↗ICML 2015 Deep Learning Workshop · no summary yetGregory Koch, Richard Zemel, Ruslan Salakhutdinov2015 · 3,175 citations
  5. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksarXiv:1506.06724Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  6. Shortcut Learning in Deep Neural Networks ↗arXiv:2004.07780 · no summary yetRobert Geirhos et al.2020 · 2,366 citations
  7. Advances in Neural Information Processing Systems 5 ↗no summary yetRichard S. Zemel, Christopher K. I. Williams, Michael C. Mozer1993 · 1,854 citations
  8. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  9. Skip-Thought Vectors ↗arXiv (Cornell University) · no summary yetRyan Kiros et al.2015 · 1,267 citations
  10. The Helmholtz Machine ↗Neural Computation · no summary yetPeter Dayan et al.1995 · 1,202 citations
  11. Autoencoders, Minimum Description Length and Helmholtz Free Energy ↗no summary yetGeoffrey E. Hinton, Richard S. Zemel1993 · 1,073 citations
  12. Multiscale conditional random fields for image labeling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán2004 · 838 citations
  13. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetWenjie Luo et al.2017 · 771 citations
  14. Information processing with population codes ↗Nature reviews. Neuroscience · no summary yetAlexandre Pouget, Peter Dayan, Richard S. Zemel2000 · 753 citations
  15. Meta-Learning for Semi-Supervised Few-Shot Classification ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2018 · 742 citations
  16. Gated Graph Sequence Neural Networks ↗arXiv:1511.05493 · no summary yetYujia Li et al.2015 · 576 citations
  17. Exploring Models and Data for Image Question Answering ↗arXiv:1505.02074 · no summary yetMengye Ren, Ryan Kiros, Richard Zemel2015 · 455 citations
  18. I NFERENCE AND C OMPUTATION WITH P OPULATION C ODES ↗Annual Review of Neuroscience · no summary yetAlexandre Pouget, Peter Dayan, Richard S. Zemel2003 · 434 citations
  19. Probabilistic Interpretation of Population Codes ↗Neural Computation · no summary yetRichard S. Zemel, Peter Dayan, Alexandre Pouget1998 · 324 citations
  20. Collaborative prediction and ranking with non-random missing data ↗ACM Conference on Recommender Systems (RecSys) · no summary yetBenjamin M. Marlin, Richard S. Zemel2009 · 317 citations
  21. End-to-End Instance Segmentation with Recurrent Attention ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMengye Ren, Richard S. Zemel2017 · 305 citations
  22. Causal Effect Inference with Deep Latent-Variable Models ↗UvA-DARE (University of Amsterdam) · no summary yetChristos Louizos et al.2017 · 290 citations
  23. Neural Relational Inference for Interacting Systems ↗UvA-DARE (University of Amsterdam) · no summary yetThomas Kipf et al.2018 · 281 citations
  24. Learning Adversarially Fair and Transferable Representations ↗arXiv (Cornell University) · no summary yetDavid Madras et al.2018 · 204 citations
  25. Object-based attention and occlusion: Evidence from normal participants and a computational model. ↗Journal of Experimental Psychology Human Perception & Performance · no summary yetMarlene Behrmann, Richard S. Zemel, Michael C. Mozer1998 · 195 citations
  26. Collaborative Filtering and the Missing at Random Assumption ↗arXiv (Cornell University) · no summary yetBenjamin M. Marlin et al.2012 · 180 citations
  27. Learning to generate images with perceptual similarity metrics ↗Proceedings - International Conference on Image Processing · no summary yetJake Snell et al.2015 · 179 citations
  28. Efficient Graph Generation with Graph Recurrent Attention Networks ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2019 · 170 citations
  29. LanczosNet: Multi-Scale Deep Graph Convolutional Networks ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2019 · 164 citations
  30. Understanding the Origins of Bias in Word Embeddings ↗arXiv (Cornell University) · no summary yetMarc-Etienne Brunet et al.2018 · 145 citations
  31. Learning and Incorporating Top-Down Cues in Image Segmentation ↗Lecture notes in computer science · no summary yetXuming He, Richard S. Zemel, Debajyoti Ray2006 · 138 citations
  32. Flexibly Fair Representation Learning by Disentanglement ↗arXiv (Cornell University) · no summary yetElliot Creager et al.2019 · 117 citations
  33. Proximity Graphs for Clustering and Manifold Learning ↗neural information processing systems · no summary yetRichard S. Zemel, Miguel Á. Carreira-Perpiñán2004 · 116 citations
  34. HOP-MAP: Efficient Message Passing with High Order Potentials ↗International Conference on Artificial Intelligence and Statistics · no summary yetDaniel Tarlow, Inmar E. Givoni, Richard S. Zemel2010 · 114 citations
  35. The Toronto Paper Matching System: An automated paper-reviewer assignment system ↗no summary yetLaurent Charlin, Richard S. Zemel2013 · 108 citations
  36. Fairness through Causal Awareness ↗no summary yetDavid Madras et al.2019 · 107 citations
  37. BoltzRank ↗International Conference on Machine Learning · no summary yetMaksims Volkovs, Richard S. Zemel2009 · 103 citations
  38. Experience-dependent perceptual grouping and object-based attention. ↗Journal of Experimental Psychology Human Perception & Performance · no summary yetRichard S. Zemel et al.2002 · 101 citations
  39. Deep Spectral Clustering Learning. ↗International Conference on Machine Learning · no summary yetMarc T. Law, Raquel Urtasun, Richard S. Zemel2017 · 100 citations
  40. A Gradient-Based Boosting Algorithm for Regression Problems ↗no summary yetRichard S. Zemel, Toniann Pitassi2000 · 100 citations
  41. A Model for Encoding Multiple Object Motions and Self-Motion in Area MST of Primate Visual Cortex ↗Journal of Neuroscience · no summary yetRichard S. Zemel, Terrence J. Sejnowski1998 · 98 citations
  42. A minimum description length framework for unsupervised learning ↗no summary yetRichard S. Zemel1994 · 95 citations
  43. Proceedings of the 23rd International Conference on Neural Information Processing Systems ↗no summary yetJohn Lafferty et al.2010 · 87 citations
  44. Ranking via Sinkhorn Propagation ↗arXiv (Cornell University) · no summary yetRyan Prescott Adams, Richard S. Zemel2011 · 86 citations
  45. Learning Deep Parsimonious Representations ↗neural information processing systems · no summary yetRenjie Liao et al.2016 · 83 citations
  46. Competition and Multiple Cause Models ↗Neural Computation · no summary yetPeter Dayan, Richard S. Zemel1995 · 83 citations
  47. Learning to Segment Images Using Dynamic Feature Binding ↗Neural Computation · no summary yetMichael C. Mozer et al.1992 · 83 citations
  48. Inference in Probabilistic Graphical Models by Graph Neural Networks ↗2018 52nd Asilomar Conference on Signals, Systems, and Computers · no summary yetKijung Yoon et al.2018 · 82 citations
  49. Few-Shot Learning Through an Information Retrieval Lens ↗arXiv (Cornell University) · no summary yetEleni Triantafillou, Richard S. Zemel, Raquel Urtasun2017 · 81 citations
  50. “I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation ↗ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yetAnaelia Ovalle et al.2023 · 79 citations
  51. The Elephant in the Room ↗arXiv (Cornell University) · no summary yetAmir Rosenfeld, Richard S. Zemel, John K. Tsotsos2018 · 76 citations
  52. Learning Latent Subspaces in Variational Autoencoders ↗arXiv (Cornell University) · no summary yetJack Klys, Jake Snell, Richard S. Zemel2018 · 72 citations
  53. Lending direction to neural networks ↗Neural Networks · no summary yetRichard S. Zemel, Christopher K. I. Williams, Michael C. Mozer1995 · 72 citations
  54. Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2016 · 71 citations
  55. Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data ↗Data Archiving and Networked Services (DANS) · no summary yetSindy Löwe et al.2020 · 70 citations
  56. Training Deep Neural Networks via Direct Loss Minimization ↗arXiv (Cornell University) · no summary yetYang Song et al.2015 · 69 citations
  57. Generative versus discriminative training of RBMs for classification of fMRI images ↗no summary yetTanya Schmah et al.2008 · 69 citations
  58. Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer ↗arXiv (Cornell University) · no summary yetDavid Madras, Toniann Pitassi, Richard S. Zemel2017 · 68 citations
  59. Recommender systems: missing data and statistical model estimation ↗no summary yetBenjamin M. Marlin et al.2011 · 66 citations
  60. Excessive Invariance Causes Adversarial Vulnerability ↗arXiv (Cornell University) · no summary yetJörn-Henrik Jacobsen et al.2018 · 65 citations
  61. Environment Inference for Invariant Learning ↗arXiv (Cornell University) · no summary yetElliot Creager, Joern-Henrik Jacobsen, Richard S. Zemel2020 · 63 citations
  62. Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models ↗arXiv (Cornell University) · no summary yetGuangyong Chen et al.2019 · 55 citations
  63. Graph Partition Neural Networks for Semi-Supervised Classification ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2018 · 55 citations
  64. Learning Articulated Structure and Motion ↗International Journal of Computer Vision · no summary yetDavid A. Ross, Daniel Tarlow, Richard S. Zemel2010 · 49 citations
  65. Automated detection of unusual events on stairs ↗Image and Vision Computing · no summary yetJasper Snoek et al.2008 · 49 citations
  66. Learning Population Codes by Minimizing Description Length ↗Neural Computation · no summary yetRichard S. Zemel, Geoffrey E. Hinton1995 · 48 citations
  67. A flexible generative model for preference aggregation ↗International World Wide Web Conference (WWW) · no summary yetMaksims Volkovs, Richard S. Zemel2012 · 46 citations
  68. Lorentzian Distance Learning for Hyperbolic Representations ↗International Conference on Machine Learning · no summary yetMarc T. Law et al.2019 · 45 citations
  69. Structured Output Learning with High Order Loss Functions ↗no summary yetDaniel Tarlow, Richard S. Zemel2012 · 45 citations
  70. Proceedings of the 23rd International Conference on Neural Information Processing Systems - Volume 1 ↗no summary yetJohn Lafferty et al.2010 · 45 citations
  71. A Multiplicative Model for Learning Distributed Text-Based Attribute Representations ↗arXiv (Cornell University) · no summary yetRyan Kiros, Richard S. Zemel, Ruslan Salakhutdinov2014 · 44 citations
  72. Collaborative Ranking With 17 Parameters ↗no summary yetMaksims Volkovs, Richard S. Zemel2012 · 44 citations
  73. FLIRT: Feedback Loop In-context Red TeamingConference on Empirical Methods in Natural Language Processing (EMNLP)Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, et al.2024 · 42 citations
  74. Comparing Classification Methods for Longitudinal fMRI Studies ↗Neural Computation · no summary yetTanya Schmah et al.2010 · 40 citations
  75. Learning Hybrid Models for Image Annotation with Partially Labeled Data ↗no summary yetXuming He, Richard S. Zemel2008 · 40 citations
  76. A Neural Autoregressive Approach to Attention-based Recognition ↗International Journal of Computer Vision · no summary yetYin Zheng et al.2014 · 36 citations
  77. Differentially Private Decoding in Large Language Models ↗arXiv (Cornell University) · no summary yetJimit Majmudar et al.2022 · 35 citations
  78. New learning methods for supervised and unsupervised preference aggregation ↗no summary yetMaksims Volkovs, Richard S. Zemel2014 · 35 citations
  79. Self Supervised Boosting ↗no summary yetMax Welling, Richard S. Zemel, Geoffrey E. Hinton2002 · 35 citations
  80. Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and ArabicWorkshop on Language Technology for Equality, Diversity, InclusionAntónio Câmara, Nina Taneja, Tamjeed Azad, et al.2022 · 33 citations
  81. Reviving and Improving Recurrent Back-Propagation ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2018 · 33 citations
  82. Incremental Few-Shot Learning with Attention Attractor Networks ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2018 · 33 citations
  83. Exploring Compositional High Order Pattern Potentials for Structured Output Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYujia Li, Daniel Tarlow, Richard S. Zemel2013 · 33 citations
  84. A Framework for Optimizing Paper Matching ↗arXiv (Cornell University) · no summary yetLaurent Charlin, Richard S. Zemel, Craig E. Boutilier2012 · 33 citations
  85. Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling ↗arXiv (Cornell University) · no summary yetWill Grathwohl et al.2020 · 32 citations
  86. Localist Attractor Networks ↗Neural Computation · no summary yetRichard S. Zemel, Michael C. Mozer2001 · 30 citations
  87. Discovering Viewpoint-Invariant Relationships That Characterize Objects ↗no summary yetRichard S. Zemel, Geoffrey E. Hinton1990 · 30 citations
  88. Variational Model Inversion Attacks ↗arXiv (Cornell University) · no summary yetKuan-Chieh Wang et al.2022 · 29 citations
  89. Adversarial Distillation of Bayesian Neural Network Posteriors ↗arXiv (Cornell University) · no summary yetKuan-Chieh Wang et al.2018 · 29 citations
  90. Active Collaborative Filtering ↗arXiv (Cornell University) · no summary yetCraig E. Boutilier, Richard S. Zemel, Benjamin M. Marlin2012 · 29 citations
  91. A Divergence Minimization Perspective on Imitation Learning Methods ↗arXiv (Cornell University) · no summary yetSeyed Kamyar Seyed Ghasemipour, Richard S. Zemel, Shixiang Gu2019 · 28 citations
  92. On the Representational Efficiency of Restricted Boltzmann Machines ↗no summary yetJames Martens et al.2013 · 27 citations
  93. Fast Exact Inference for Recursive Cardinality Models ↗arXiv (Cornell University) · no summary yetDaniel Tarlow et al.2012 · 27 citations
  94. Encoding and Decoding Spikes for Dynamic Stimuli ↗Neural Computation · no summary yetRama D Natarajan et al.2008 · 27 citations
  95. Multiple Cause Vector Quantization ↗no summary yetDavid A. Ross, Richard S. Zemel2002 · 26 citations
  96. Toward Informal Language Processing: Knowledge of Slang in Large Language Models ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetZhewei Sun et al.2024 · 25 citations
  97. Learning to rank by aggregating expert preferences ↗ACM International Conference on Information and Knowledge Management (CIKM) · no summary yetMaksims Volkovs, Hugo Larochelle, Richard S. Zemel2012 · 25 citations
  98. Mean-Field Networks ↗arXiv (Cornell University) · no summary yetYujia Li, Richard S. Zemel2014 · 23 citations
  99. Topological map learning from outdoor image sequences ↗Journal of Field Robotics · no summary yetXuming He, Richard S. Zemel, Volodymyr Mnih2006 · 23 citations
  100. Advances in Neural Information Processing Systems 21 ↗no summary yetRama D Natarajan et al.2009 · 22 citations

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