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Phil Blunsom

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Papers (48)

  1. Scalable Syntax-Aware Language Models Using Knowledge Distillation cs.CL · 2019 · author #5
  2. Learning and Evaluating General Linguistic Intelligence cs.LG · 2019 · author #11
  3. e-SNLI: Natural Language Inference with Natural Language Explanations cs.CL · 2018 · author #4
  4. Learning with Stochastic Guidance for Navigation cs.RO · 2018 · author #4
  5. Sentence Encoding with Tree-constrained Relation Networks cs.CL · 2018 · author #4
  6. Learning to Discover, Ground and Use Words with Segmental Neural Language Models cs.CL · 2018 · author #3
  7. Transferring Physical Motion Between Domains for Neural Inertial Tracking cs.LG · 2018 · author #4
  8. Neural Arithmetic Logic Units cs.NE · 2018 · author #6
  9. Encoding Spatial Relations from Natural Language cs.CL · 2018 · author #7
  10. Pushing the bounds of dropout stat.ML · 2018 · author #6
  11. The NarrativeQA Reading Comprehension Challenge cs.CL · 2017 · author #3
  12. On the State of the Art of Evaluation in Neural Language Models cs.CL · 2017 · author #3
  13. Grounded Language Learning in a Simulated 3D World cs.CL · 2017 · author #14
  14. Discovering Discrete Latent Topics with Neural Variational Inference cs.CL · 2017 · author #3
  15. Latent Intention Dialogue Models cs.CL · 2017 · author #3
  16. Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems cs.AI · 2017 · author #4
  17. Robust Incremental Neural Semantic Graph Parsing cs.CL · 2017 · author #2
  18. Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling cs.CL · 2017 · author #3
  19. Generative and Discriminative Text Classification with Recurrent Neural Networks stat.ML · 2017 · author #4
  20. Learning to Compose Words into Sentences with Reinforcement Learning cs.CL · 2016 · author #2
  21. The Neural Noisy Channel cs.CL · 2016 · author #2
  22. Reference-Aware Language Models cs.CL · 2016 · author #2
  23. Semantic Parsing with Semi-Supervised Sequential Autoencoders cs.CL · 2016 · author #6
  24. Online Segment to Segment Neural Transduction cs.CL · 2016 · author #3
  25. Language as a Latent Variable: Discrete Generative Models for Sentence Compression cs.CL · 2016 · author #2
  26. Optimizing Performance of Recurrent Neural Networks on GPUs cs.LG · 2016 · author #3
  27. Latent Predictor Networks for Code Generation cs.CL · 2016 · author #7
  28. Stochastic Collapsed Variational Inference for Sequential Data stat.ML · 2015 · author #2
  29. Stochastic Collapsed Variational Inference for Hidden Markov Models stat.ML · 2015 · author #2
  30. Neural Variational Inference for Text Processing cs.CL · 2015 · author #3
  31. Reasoning about Entailment with Neural Attention cs.CL · 2015 · author #5
  32. A Bayesian Model for Generative Transition-based Dependency Parsing cs.CL · 2015 · author #2
  33. Teaching Machines to Read and Comprehend cs.CL · 2015 · author #7
  34. Learning to Transduce with Unbounded Memory cs.NE · 2015 · author #4
  35. Bayesian Optimisation for Machine Translation cs.CL · 2014 · author #3
  36. Pragmatic Neural Language Modelling in Machine Translation cs.CL · 2014 · author #2
  37. Deep Learning for Answer Sentence Selection cs.CL · 2014 · author #3
  38. Deep Multi-Instance Transfer Learning cs.LG · 2014 · author #3
  39. Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network cs.CL · 2014 · author #4
  40. Compositional Morphology for Word Representations and Language Modelling cs.CL · 2014 · author #2
  41. Learning Bilingual Word Representations by Marginalizing Alignments cs.CL · 2014 · author #3
  42. A Deep Architecture for Semantic Parsing cs.CL · 2014 · author #2
  43. Multilingual Models for Compositional Distributed Semantics cs.CL · 2014 · author #2
  44. A Convolutional Neural Network for Modelling Sentences cs.CL · 2014 · author #3
  45. Modelling the Lexicon in Unsupervised Part of Speech Induction cs.CL · 2014 · author #2
  46. Multilingual Distributed Representations without Word Alignment cs.CL · 2013 · author #2
  47. Recurrent Convolutional Neural Networks for Discourse Compositionality cs.CL · 2013 · author #2
  48. "Not not bad" is not "bad": A distributional account of negation cs.CL · 2013 · author #3

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