NIPS Proceedingsβ

Honglak Lee

21 Papers

  • A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks (2018)
  • Content preserving text generation with attribute controls (2018)
  • Data-Efficient Hierarchical Reinforcement Learning (2018)
  • Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies (2018)
  • Learning Hierarchical Semantic Image Manipulation through Structured Representations (2018)
  • Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion (2018)
  • Value Prediction Network (2017)
  • Learning What and Where to Draw (2016)
  • Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision (2016)
  • Action-Conditional Video Prediction using Deep Networks in Atari Games (2015)
  • Deep Visual Analogy-Making (2015)
  • Learning Structured Output Representation using Deep Conditional Generative Models (2015)
  • Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis (2015)
  • Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning (2014)
  • Improved Multimodal Deep Learning with Variation of Information (2014)
  • Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising (2013)
  • Learning to Align from Scratch (2012)
  • Measuring Invariances in Deep Networks (2009)
  • Unsupervised feature learning for audio classification using convolutional deep belief networks (2009)
  • Sparse deep belief net model for visual area V2 (2007)
  • Efficient sparse coding algorithms (2006)