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Papers-2016.md

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December 2016

  • Unsupervised Perceptual Rewards for Imitation Learning - [Arxiv] [QA]

November 2016

  • High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis - [Arxiv] [QA]
  • Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction - [Arxiv] [QA]
  • Gaze Embeddings for Zero-Shot Image Classification - [Arxiv] [QA]
  • Visual Dialog - [Arxiv] [QA]
  • Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation - [Arxiv] [QA]
  • Self-Supervised Video Representation Learning With Odd-One-Out Networks - [Arxiv] [QA]
  • Learning a Deep Embedding Model for Zero-Shot Learning - [Arxiv] [QA]

October 2016

  • Safety Verification of Deep Neural Networks - [Arxiv] [QA]
  • Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization - [Arxiv] [QA]
  • Supervision via Competition: Robot Adversaries for Learning Tasks - [Arxiv] [QA]
  • Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems - [Arxiv] [QA]

September 2016

  • Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge - [Arxiv] [QA]
  • Discrete Variational Autoencoders - [Arxiv] [QA]

July 2016

  • Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification - [Arxiv] [QA]
  • An Actor-Critic Algorithm for Sequence Prediction - [Arxiv] [QA]

June 2016

  • A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks - [Arxiv] [QA]
  • Learning to Poke by Poking: Experiential Learning of Intuitive Physics - [Arxiv] [QA]
  • Concrete Problems in AI Safety - [Arxiv] [QA]
  • The Mythos of Model Interpretability - [Arxiv] [QA]

May 2016

  • Adversarial Feature Learning - [Arxiv] [QA]
  • An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild - [Arxiv] [QA]
  • Movie Description - [Arxiv] [QA]
  • Not Just a Black Box: Learning Important Features Through Propagating Activation Differences - [Arxiv] [QA]

April 2016

  • Context Encoders: Feature Learning by Inpainting - [Arxiv] [QA]
  • Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering - [Arxiv] [QA]
  • Joint Unsupervised Learning of Deep Representations and Image Clusters - [Arxiv] [QA]
  • The Curious Robot: Learning Visual Representations via Physical Interactions - [Arxiv] [QA]

March 2016

  • Colorful Image Colorization - [Arxiv] [QA]
  • Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance - [Arxiv] [QA]
  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue - [Arxiv] [QA]
  • XGBoost: A Scalable Tree Boosting System - [Arxiv] [QA]

February 2016

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations - [Arxiv] [QA]
  • A Probabilistic Dependent Type System based on Non-Deterministic Beta Reduction - [Arxiv] [QA]
  • "Why Should I Trust You?": Explaining the Predictions of Any Classifier - [Arxiv] [QA]

January 2016

  • Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation - [Arxiv] [QA]