NIPS Proceedingsβ

Christopher D. Manning

11 Papers

  • On-the-Job Learning with Bayesian Decision Theory (2015)
  • Global Belief Recursive Neural Networks (2014)
  • Learning Distributed Representations for Structured Output Prediction (2014)
  • Simple MAP Inference via Low-Rank Relaxations (2014)
  • Reasoning With Neural Tensor Networks for Knowledge Base Completion (2013)
  • Zero-Shot Learning Through Cross-Modal Transfer (2013)
  • Convolutional-Recursive Deep Learning for 3D Object Classification (2012)
  • Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection (2011)
  • Log-Linear Models for Label Ranking (2003)
  • Fast Exact Inference with a Factored Model for Natural Language Parsing (2002)
  • Natural Language Grammar Induction Using a Constituent-Context Model (2001)