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Deep Learning

Deep learning

  • Adaptive Computation Time for Recurrent Neural Networks. arxiv ⭐
  • A Deep Learning Approach To Multiple Kernel Fusion. arxiv
  • Aggregated Residual Transformations for Deep Neural Networks. arxiv tensorflow
  • A guide to convolution arithmetic for deep learning. arxiv
  • A New Method to Visualize Deep Neural Networks. pdf
  • A Persona-Based Neural Conversation Model. pdf
  • Architectural Complexity Measures of Recurrent Neural Networks. arxiv
  • Associative Long Short-Term Memory. arxiv ⭐
  • Automatic chemical design using a data-driven continuous representation of molecules. arxiv pytorch
  • A Way out of the Odyssey- Analyzing and Combining Recent Insights for LSTMs. arxiv ⭐
  • Batch Policy Gradient Methods for Improving Neural Conversation Models. url
  • Benefits of depth in neural networks. url
  • BinaryNet-Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. arxiv
  • Bitwise Neural Networks. pdf
  • Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex. arxiv
  • Building Machines That Learn and Think Like People. pdf ⭐
  • Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors. arxiv
  • CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples. arxiv code
  • Composing graphical models with neural networks for structured representations and fast inference .arxiv code
  • Conditional Generative Moment-Matching Networks. arxiv
  • Context Encoders: Feature Learning by Inpainting. arxiv pytorch
  • Conversational Contextual Cues-The Case of Personalization and History for Response Ranking. arxiv
  • Controlling Output Length in Neural Encoder-Decoders. arxiv code
  • Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. arxiv code
  • Data Programming- Creating Large Training Sets, Quickly. arxiv
  • DCM Bandits: Learning to Rank with Multiple Clicks. pdf
  • Decoupled Neural Interfaces using Synthetic Gradients. pdf
  • DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. pdf tensorflow
  • DeepMind Lab. url ⭐
  • Deep API Learning. pdf
  • [DeepCoder] DeepCoder: Learning to Write Programs ⭐
  • [DeepFashion] Powering Robust Clothes Recognition and Retrieval with Rich Annotations. pdf code
  • Deep Learning without Poor Local Minima. arxiv ⭐
  • Deep Learning with Differential Privacy. arxiv tensorflow ⭐
  • Deep Portfolio Theory. arxiv
  • Deeply-Fused Nets. arxiv ⭐
  • DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. arxiv code
  • Densely Connected Convolutional Networks. arxiv pytorch
  • Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling. arxiv code
  • [DenseNet] Densely Connected Convolutional Networks. arxiv pytorch ⭐
  • Density estimation using Real NVP.arxivtensorflow
  • Domain Separation Networks. [url]
  • [DrMAD] Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks.) arxiv code ⭐
  • Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes. arxiv
  • Early Visual Concept Learning with Unsupervised Deep Learning. arxiv code
  • Efficient softmax approximation for GPUs. arxiv code
  • Efficient Training of Very Deep Neural Networks for Supervised Hashing. arxiv
  • Episodic Exploration for Deep Deterministic Policies- An Application to StarCraft Micromanagement Tasks. arxiv
  • Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. arxiv
  • Fathom: Reference Workloads for Modern Deep Learning Methods.arxiv
  • Feedback arcs and node hierarchy in directed networks. arxiv
  • FINN: A framework for fast, scalable binarized neural network inference. arxiv code
  • FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. arxiv code
  • FractalNet-Ultra-Deep Neural Networks without Residuals. arxiv
  • [URNN] Full-Capacity Unitary Recurrent Neural Networks. arxiv code ⭐
  • Fused-Layer CNN Accelerators. pdf
  • Generating long and diverse responses with neural conversation models.arxiv
  • GRAPH CONVOLUTIONAL NETWORKS. url code ⭐
  • Hierarchical Multiscale Recurrent Neural Networks. arxiv ⭐
  • Higher Order Recurrent Neural Networks. arxiv
  • Highway and Residual Networks learn Unrolled Iterative Estimation. pdf
  • Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization. arxiv pytorch ⭐
  • How to Train Your Deep Neural Network with Dictionary Learning. arxiv
  • Improving the Robustness of Deep Neural Networks via Stability Training. arxiv
  • Large-Margin Softmax Loss for Convolutional Neural Networks. arxiv
  • Latent Predictor Networks for Code Generation. arxiv
  • [Normalization] Layer Normalization. arxiv code ⭐
  • Learning Discriminative Features via Label Consistent Neural Network. arxiv
  • Learning End-to-End Goal-Oriented Dialog. arxiv
  • Learning Features by Watching Objects Move. arxiv code
  • Learning Python Code Suggestion with a Sparse Pointer Network. arxiv code ⭐
  • Learning to learn by gradient descent by gradient descent. pdf ⭐
  • Machine Comprehension Using Match-LSTM and Answer Pointer. arxiv
  • [AlphaGo] Mastering the game of Go with deep neural networks and tree search. pdf] ⭐
  • Meta-Unsupervised-Learning: A supervised approach to unsupervised learning. arxiv
  • Models, networks and algorithmic complexity. arxiv
  • Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model.url
  • Multiresolution Recurrent Neural Networks- An Application to Dialogue Response Generation. arxiv
  • Mutual information for fitting deep nonlinear models. pdf
  • Natural-Parameter Networks: A Class of Probabilistic Neural Networks. arxiv
  • Neural Paraphrase Generation with Stacked Residual LSTM Networks. arxiv code
  • Outrageously Large Neural Networks- The Sparsely-Gated Mixture-of-Experts Layer. pdf
  • Overcoming catastrophic forgetting in neural networks. arxiv
  • Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences. arxiv tensorflow ⭐
  • Pixel Recurrent Neural Networks. arxiv
  • Polynomial networks and factorization machines new insights and efficient training algorithms. pdf
  • Policy Networks with Two-Stage Training for Dialogue Systems. arxiv
  • [PSPNet] Pyramid Scene Parsing Network. arxiv code⭐
  • Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption. arxiv
  • [QRNN] Quasi-Recurrent Neural Networks. arxiv tensorflow keras pytorch ⭐
  • RAISR: Rapid and Accurate Image Super Resolution. arxiv ⭐
  • Recurrent Batch Normalization. arxiv ⭐
  • Recurrent Dropout without Memory Loss. arxiv ⭐
  • Recurrent Highway Networks. arxiv
  • Residual Networks of Residual Networks- Multilevel Residual Networks. arxiv
  • Revisiting Semi-Supervised Learning with Graph Embeddings. arxiv code
  • Risk versus Uncertainty in Deep Learning: Bayes, Bootstrap and the Dangers of Dropout. pdf
  • RNN-based Encoder-decoder Approach with Word Frequency Estimation. arxiv
  • SampleRNN: An Unconditional End-To-End Neural Audio Generation Model. pdf code
  • Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.arxiv code
  • Semi-Supervised Classification with Graph Convolutional Networks. arxiv
  • SoundNet: Learning Sound Representations from Unlabeled Video. pdf tensorflow ⭐
  • Structured Receptive Fields in CNNs. arxiv code
  • Tagger: Deep Unsupervised Perceptual Grouping. [url]
  • Temporal Ensembling for Semi-Supervised Learning. arxiv code
  • TensorFlow- A system for large-scale machine learning. pdf ⭐
  • Tensors and algebra give interpretable groups for crosstalk mechanisms in breast cancer.arxiv
  • The Inevitability of Probability- Probabilistic Inference in Generic Neural Networks Trained with Non-Probabilistic Feedback. [url]
  • The Predictron: End-To-End Learning and Planning. arxiv code
  • Towards an integration of deep learning and neuroscience. arxiv
  • Training Recurrent Neural Networks by Diffusion. arxiv]
  • Tutorial on Variational Autoencoders.arxiv ⭐
  • Understanding Deep Convolutional Networks. arxiv ⭐
  • [ICLR:Best Paper] Understanding deep learning requires rethinking generalization. arxiv ⭐
  • Understanding deep learning requires rethinking generalization. arxiv code ⭐
  • Understanding Neural Networks through Representation Erasure. arxiv
  • Unsupervised Perceptual Rewards for Imitation Learning.arxiv]
  • Using Fast Weights to Attend to the Recent Past. arxiv code
  • Value Iteration Networks. arxiv code] ⭐
  • Variable Computation in Recurrent Neural Networks. arxiv
  • Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. arxiv tensorflow ⭐
  • Weight Normalization-A Simple Reparameterization to Accelerate Training of Deep Neural Networks. arxiv code ⭐
  • Wide Residual Networks. arxiv pytorch⭐
  • [Xception] Deep Learning with Depthwise Separable Convolutions. arxiv tensorflow ⭐
  • Zoneout- Regularizing RNNs by Randomly Preserving Hidden Activations. arxiv ⭐

Attention and memory

  • Attention Based Recurrent Neural Networks for Online Advertising. pdf]
  • Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling. arxiv tensorflow ⭐
  • Can Active Memory Replace Attention? arxiv
  • Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. arxiv ⭐
  • Emergent Logical Structure in Vector Representations of Neural Readers. arxiv
  • Gated End-to-End Memory Networks. arxiv
  • Generating Images from Captions with Attention. arxiv
  • GRAM: Graph-based Attention Model for Healthcare Representation Learning. arxiv code
  • Hybrid computing using a neural network with dynamic external memory. url ⭐
  • Hierarchical Memory Networks. arxiv
  • Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning. arxiv
  • [LightRNN] LightRNN: Memory and Computation-Efficient Recurrent Neural Networks.arxiv tensorflow⭐
  • Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. arxiv code
  • Prioritizing Attention in Fast Data: Principles and Promise. pdf
  • Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. pdf ⭐
  • Reducing Redundant Computations with Flexible Attention. arxiv
  • Scan, Attend and Read- End-to-End Handwritten Paragraph Recognition with MDLSTM Attention. arxiv
  • Structural Attention Neural Networks for improved sentiment analysis. arxiv
  • Survey on the attention based RNN model and its applications in computer vision. arxiv

Generative learning

  • Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics. arxiv
  • Adversarial examples in the physical world.arxiv
  • Adversarially Learned Inference.arxiv code ⭐
  • Adversarial Multiclass Classification: A Risk Minimization Perspective. pdf code
  • Adversarial Perturbations Against Deep Neural Networks for Malware Classification. arxiv
  • Adversarial Training For Sketch Retrieval.arxiv
  • A Point Set Generation Network for 3D Object Reconstruction from a Single Image. arxiv code
  • Automatic Description Generation from Images- A Survey of Models, Datasets, and Evaluation Measures. pdf
  • Automatic Colorization with Deep Convolutional Generative Adversarial Networks. stanford
  • Auxiliary Deep Generative Models. arxiv code ⭐
  • [b-GAN] Unified Framework of Generative Adversarial Networks. pdf] ⭐
  • Conditional Image Synthesis With Auxiliary Classifier GANs. arxiv code
  • Connecting Generative Adversarial Networks and Actor-Critic Methods. arxiv
  • Coupled Generative Adversarial Networks. arxiv code
  • DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition. url
  • DeMIAN: Deep Modality Invariant Adversarial Network. [url]
  • Deep Learning Adversarial Examples. url
  • DeepFace: Face Generation using Deep Learning. stanford
  • Enabling Dark Energy Science with Deep Generative Models of Galaxy Images. arxiv
  • [EnergyGAN] Energy-based Generative Adversarial Network. arxiv code ⭐
  • [f-GAN] f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization.arxiv ⭐
  • Generative Image Modeling using Style and Structure Adversarial Networks. arxiv
  • Generating Images Part by Part with Composite Generative Adversarial Networks. arxiv
  • [GRAN] Generating images with recurrent adversarial networks. pdf ⭐
  • Generating Images with Perceptual Similarity Metrics based on Deep Networks. arxiv ⭐
  • Generative Adversarial Imitation Learning. arxiv code
  • [VGNA] Generative Adversarial Networks as Variational Training of Energy Based Models. arxiv code
  • Generative Adversarial Nets from a Density Ratio Estimation Perspective. arxiv
  • [iGNA] Generative Visual Manipulation on the Natural Image Manifold. berkeley code ⭐
  • Generating Videos with Scene Dynamics. pdf code tensorflow⭐
  • How to Train a GAN. code ⭐
  • [Pix2Pix]Image-to-Image Translation with Conditional Adversarial Networks. arxiv tensorflow ⭐
  • [Improved GAN] Image-Text Multi-Modal Representation Learning by Adversarial Backpropagation. arxiv ⭐
  • Improved Techniques for Training GANs.arxiv code tensorflow ⭐
  • [InfoGAN] Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. arxiv code tensorflow ⭐
  • Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. arxiv tensorflow
  • [SimGAN] Learning from Simulated and Unsupervised Images through Adversarial Training. arxiv keras ⭐
  • Learning in Implicit Generative Models. arxiv
  • Learning to Protect Communications with Adversarial Neural Cryptography. arxiv
  • Least Squares Generative Adversarial Networks. arxiv ⭐
  • Medical Image Synthesis with Context-Aware Generative Adversarial Networks. arxiv
  • Mode Regularized Generative Adversarial Networks. arxiv ⭐
  • Neural Fill: Content Aware Image Fill with Generative Adversarial Neural Networks. stanford
  • NIPS 2016 Tutorial: Generative Adversarial Networks. arxiv ⭐
  • [SRGAN] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. arxiv ⭐
  • [DCGAN use] Semantic Image Inpainting with Perceptual and Contextual Losses.arxiv ⭐
  • Semi-Supervised Learning with Generative Adversarial Networks. arxiv
  • [SeqGAN] Sequence Generative Adversarial Nets with Policy Gradient. arxiv code ⭐
  • Simple black-box adversarial perturbations for deep networks. url
  • Stick-Breaking Variational Autoencoders. arxiv code
  • Stochastic Video Prediction with Deep Conditional Generative Models. stanford
  • Task Specific Adversarial Cost Function. arxiv
  • Temporal Generative Adversarial Nets with Singular Value Clipping. arxiv code
  • Towards Principled Methods for Training Generative Adversarial Networks. arxiv]
  • Understanding deep learning requires rethinking generalization.arxiv ⭐
  • Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.arxiv code
  • Unrolled Generative Adversarial Networks. arxiv code
  • Variational Graph Auto-Encoders. arxiv tensorflow ⭐

Transfer learning

  • A survey of transfer learning. url ⭐
  • Building Machines That Learn and Think Like People. arxiv
  • Fast color transfer from multiple images. arxiv
  • Perceptual Losses for Real-Time Style Transfer and Super-Resolution.arxiv code ⭐
  • Personalizing a Dialogue System with Transfer Learning. arxiv
  • Pixel-Level Domain Transfer. arxiv
  • Progressive Neural Networks. arxiv ⭐
  • Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks.arxivcode ⭐
  • [Best Paper]Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. arxiv tensorflow ⭐
  • FastMask: Segment Multi-scale Object Candidates in One Shot.arxiv
  • Learning feed-forward one-shot learners. arxiv
  • Low-shot Visual Recognition by Shrinking and Hallucinating Features. arxiv ⭐
  • Matching Networks for One Shot Learning. arxiv
  • One-Shot Generalization in Deep Generative Models. pdf ⭐
  • One-shot Learning with Memory-Augmented Neural Networks. arxiv tensorflow⭐
  • One-Shot Video Object Segmentation. arxiv tensorflow
  • Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery. arxiv