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README.md

01/2018

thesis

  • Deep Learning: A Critical Appraisal, 2018 [arXiv]
  • Nested LSTMs, 2018. [arXiv
  • Mask R-CNN, 2018. arxiv
  • DeepMind Control Suite , 2018, [arxiv] [code]
  • Kernel Feature Selection via Conditional Covariance Minimization [NIPS paper] [article] [code]
  • Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents [arXiv] [article] [code]
  • Fine-tuned Language Models for Text Classification [arXiv] [code] (soon)
  • Innateness, AlphaZero, and Artificial Intelligence [arXiv]
  • Expected Policy Gradients for Reinforcement Learning [arXiv]
  • DroNet: Learning to Fly by Driving [UZH docs] [article] [code]
  • Symmetric Decomposition of Asymmetric Games [Scientific Reports] [article]
  • Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor [arXiv] [code]
  • SBNet: Sparse Blocks Network for Fast Inference [arXiv] [article] [code]
  • Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report, 2018 [arXiv]
  • Novel Methods for Enhancing the Performance of Genetic Algorithms, 2018 [arXiv]
  • Generating adversarial examples with adversarial networks, 2018 [arXiv]
  • Generating Neural Networks with Neural Networks, 2018 [arXiv]
  • Adversarial Spheres, 2018 [arXiv]
  • Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes, 2018 [arXiv]
  • Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks, 2018 [arXiv]
  • Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors, 2018 [arXiv]
  • Using reinforcement learning to learn how to play text-based games, 2018 [arXiv]
  • Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time, 2018 [arXiv]
  • Boundary Optimizing Network (BON), 2018 [arXiv]
  • Approximate FPGA-based LSTMs under Computation Time Constraints, 2018 [arXiv]
  • A Note on the Inception Score, 2018 [arXiv] code
  • Fix your classifier: the marginal value of training the last weight layer[arXiv]
  • Can Computers Create Art?[arXiv]
  • Generalizing, Decoding, and Optimizing Support Vector Machine Classification[arXiv]
  • Deep Reinforcement Fuzzing[arXiv]
  • Top k Memory Candidates in Memory Networks for Common Sense Reasoning[arXiv]
  • Deep Learning: An Introduction for Applied Mathematicians[arXiv]
  • Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process, 2018 [arXiv]
  • Active Neural Localization, 2018 [arXiv]
  • Deep Reinforcement Learning using Capsules in Advanced Game Environments, 2018 [arXiv]
  • Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning, 2018 [arXiv]
  • Global and Local Consistent Age Generative Adversarial Networks, 2018 [arXiv]
  • Deep Interactive Evolution, 2018 [arXiv]
  • A Question-Focused Multi-Factor Attention Network for Question Answering, 2018 [arXiv]
  • DKN: Deep Knowledge-Aware Network for News Recommendation, 2018 [arXiv]
  • Etymo: A New Discovery Engine for AI Research, 2018 [arXiv]
  • NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction, 2018 [arXiv]
  • Deflecting Adversarial Attacks with Pixel Deflection, 2018 [arXiv]
  • Neural Algebra of Classifiers, 2018 [arXiv]
  • Hierarchical Spatial Transformer Network, 2018 [arXiv]
  • Improved Training of Generative Adversarial Networks Using Representative Features, 2018 [arXiv]
  • Using Additional Indexes for Fast Full-Text Search of Phrases That Contains Frequently Used Words, 2018 [arXiv]
  • Human-Machine Inference Networks For Smart Decision Making: Opportunities and Challenges- , 2018 [arXiv]

applications

  • Generating Wikipedia by Summarizing Long Sequences [arXiv]
  • eCommerceGAN : A Generative Adversarial Network for E-commerce [arXiv]
  • Learning Tree-based Deep Model for Recommender Systems, 2018 [arXiv]
  • Fusion of ANN and SVM Classifiers for Network Attack Detection, 2018 [arXiv]
  • Learning to Infer Graphics Programs from Hand-Drawn Images, 2017 [arXiv]
  • Building Generalizable Agents with a Realistic and Rich 3D Environment, 2018 [arXiv]
  • Audio Adversarial Examples: Targeted Attacks on Speech-to-Text, 2018 [arXiv]
  • Attacking Speaker Recognition With Deep Generative Models, 2018 [arXiv]
  • SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis, 2018 [arXiv]
  • Biomedical Question Answering via Weighted Neural Network Passage Retrieval, 2018 [arXiv]
  • DeepTraffic: Driving Fast through Dense Traffic with Deep Reinforcement Learning, 2018 [arXiv]
  • Trading the Twitter Sentiment with Reinforcement Learning, 2018 [arXiv]
  • From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots, 2018 [arXiv]
  • A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study, 2018 [arXiv]
  • Building a Conversational Agent Overnight with Dialogue Self-Play[arXiv]
  • Unsupervised Cipher Cracking Using Discrete GANs[arXiv]
  • The Case for Automatic Database Administration using Deep Reinforcement Learning[arXiv]
  • Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification, 2018 [arXiv]
  • DeepWriting: Making Digital Ink Editable via Deep Generative Modeling, 2018 [arXiv]
  • CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition, 2018 [arXiv]
  • FlashRL: A Reinforcement Learning Platform for Flash Games, 2018 [arXiv]
  • Using Deep Autoencoders for Facial Expression Recognition, 2018 [arXiv]
  • Multi-Pointer Co-Attention Networks for Recommendation, 2018 [arXiv]
  • Marketing Analytics: Methods, Practice, Implementation, and Links to Other Fields, 2018 [arXiv]
  • Scalable and accurate deep learning for electronic health records [arXiv]