- Contextual Word Representations: A Contextual Introduction
- DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Attention Is All You Need
- Language Models are Unsupervised Multitask Learners
- Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
- End-to-end Neural Coreference Resolution
- Improving Coreference Resolution by Learning Entity-Level Distributed Representations
- Bag of Tricks for Efficient Text Classification
- MONTRÉAL.AI ACADEMY: ARTIFICIAL INTELLIGENCE 101 FIRST WORLD-CLASS OVERVIEW OF AI FOR ALL
- Contrastive Representation Distillation
- Self-training with Noisy Student improves ImageNet classification
- Rules of Machine Learning
- Machine Learning:The High-Interest Credit Card of Technical Debt
- The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks
- Focal Loss for Dense Object Detection
- Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
- Making Risk Minimization Tolerant to Label Noise
- Massively Parallel Video Networks
- One-Shot Video Object Segmentation
- Learning Video Object Segmentation from Static Images
- Training RNNs as Fast as CNNs
- Learnable pooling with Context Gating for video classification
- Beyond Short Snippets: Deep Networks for Video Classification
- End-to-end Learning of Action Detection from Frame Glimpses in Videos
- FlowNet: Learning Optical Flow with Convolutional Networks
- YouTube-8M: A Large-Scale Video Classification Benchmark
- Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
- Two-Stream Convolutional Networks for Action Recognition in Videos
- Evaluating Two-Stream CNN for Video Classification
- Deep Learning for Video Classification and Captioning
- Anticipating Visual Representations from Unlabeled Video
- Efficient Large Scale Video Classification
- Deriving LSTM Gradient for Backpropagation
- Long-term Recurrent Convolutional Networks for Visual Recognition and Description
- Convolutional Gated Recurrent Networks for Video Segmentation
- Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks, code
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Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
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Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation
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Real-Time User-Guided Image Colorization with Learned Deep Priors
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Weakly Supervised Semantic Segmentation using Web-Crawled Videos
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What's the Point: Semantic Segmentation with Point Supervision
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A Review on Deep Learning Techniques Applied to Semantic Segmentation
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End-to-end Learning of Driving Models from Large-scale Video Datasets
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What is a good evaluation measure for semantic segmentation?
-
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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Image Classification and Segmentation with Tensorflow and TF-Slim
- Bag of Tricks for Image Classification with Convolutional Neural Networks
- Cyclical Learning Rates for Training Neural Networks
- Squeeze-and-Excitation Networks
- AutoAugment: Learning Augmentation Policies from Data
- FitNets: Hints for Thin Deep Nets
- Multi-view Convolutional Neural Networks for 3D Shape Recognition
- Random Erasing Data Augmentation
- mixup: Beyond Empirical Risk Minimization
- A systematic study of the class imbalance problem in convolutional neural networks
- Focal Loss for Dense Object Detection
- One Model To Learn Them All
- How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
- A Test Drive of the NVIDIA Jetson TX1 Developer Kit for Deep Learning and Computer Vision Applications
- Who Said What: Modeling Individual Labelers Improves Classification
- Fast R-CNN
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- DeepNav: Learning to Navigate Large Cities
- 3D Convolutional Neural Networks for Human Action Recognition
- Cost-Effective Active Learning for Deep Image Classification
- Learning From Noisy Large-Scale Datasets With Minimal Supervision
- DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows
- YOLO9000: Better, Faster, Stronger
- Densely Connected Convolutional Networks
- Natural Adversarial Examples
- Adversarial Reprogramming of Neural Networks
- Adversarial Attacks Against Medical Deep Learning Systems
- One pixel attack for fooling deep neural networks
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Countering Adversarial Images using Input Transformations
- NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
- The challenge of verification and testing of machine learning
- Explaining and Harnessing Adversarial Examples
- Intriguing properties of neural networks
- Thoughts on "Adversarial examples in the physical world"
- Speed/accuracy trade-offs for modern convolutional object detectors
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices
- Hardware-oriented Approximation of Convolutional Neural Networks
- Deep Learning with INT8 Optimization on Xilinx Devices
- Trained Ternary Quantization
- Convolutional Neural Networks at Constrained Time Cost
- You Only Look Once: Unified, Real-Time Object Detection
- Improving the speed of neural networks on CPUs
- XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
- EIE: Efficient Inference Engine on Compressed Deep Neural Network
- Deep Learning with Limited Numerical Precision
- An Analysis of Deep Neural Network Models for Practical Applications
- Accelerating Deep Convolutional Networks using low-precision and sparsity
- Pruning Filters for Efficient ConvNets
- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
- Deep Learning with Coherent Nanophotonic Circuits
- DEEP DOUBLE DESCENT: WHERE BIGGER MODELS AND MORE DATA HURT
- Reconciling deep learning with symbolic artificial intelligence: representing objects and relations
- Deep Learning Scaling is Predictable, Empirically
- Group Normalization
- Sensitivity and Generalization in Neural Networks: an Empirical Study
- The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets
- Evolving Culture vs Local Minima
- Generalization in Deep Learning
- Curriculum Learning
- A Closer Look at Memorization in Deep Networks
- Hyperparameter Optimization: A Spectral Approach
- The Shattered Gradients Problem: If resnets are the answer, then what is the question?
- On the Origin of Deep Learning
- Understanding deep learning requires rethinking generalization
- Distilling the Knowledge in a Neural Network
- Deep Learning without Poor Local Minima
- Through-Wall Human Pose Estimation Using Radio Signals
- Deep Learning: A Critical Appraisal
- The Case for Learned Index Structures
- Population Based Training of Neural Networks
- Efficient Processing of Deep Neural Networks: A Tutorial and Survey
- Dynamic Routing Between Capsules
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- Swish: a Self-Gated Activation Function
- Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
- SMASH: One-Shot Model Architecture Search through HyperNetworks
- nuts-flow/ml: data pre-processing for deep learning
- Overcoming catastrophic forgetting in neural networks
- Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
- Comparative Study of Deep Learning Software Frameworks
- When Will AI Exceed Human Performance? Evidence from AI Experts
- The Ladder: A Reliable Leaderboard for Machine Learning Competitions
- Uber Elevate, Fast-Forwarding to a Future of On-Demand Urban Air Transportation
- dl papers
- Benchmarking State-of-the-Art Deep Learning Software Tools
- SoundNet: Learning Sound Representations from Unlabeled Video
- EchoBot: An open-source robotic ultrasound system
- Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
- Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
- Artificial intelligence, bias and clinical safety
- Highlighting nerves and blood vessels for ultrasound-guided axillary nerve block procedures using neural networks
- Why rankings of biomedical image analysis competitions should be interpreted with care
- Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
- A guide to deep learning in healthcare
- Sample size determination for image classification accuracy assessment and comparison
- On Combining Classifiers
- Designing image segmentation studies: Statistical power, sample size and reference standard quality
- Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)
- Institutionally Distributed Deep Learning Networks
- Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
- Clinically applicable deep learning for diagnosis and referral in retinal disease
- Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
- Combining Heterogeneously Labeled Datasets For Training Segmentation Networks
- Confounding variables can degrade generalization performance of radiological deep learning models
- Evaluating Reinforcement Learning Agents for Anatomical Landmark Detection
- Current Applications and Future Impact of Machine Learning in Radiology
- An Augmented Reality Microscope for Cancer Detection
- AlterEgo: APersonalized Wearable Silent Speech Interface
- Opportunities And Obstacles For Deep Learning In Biology And Medicine
- Thoracic Disease Identification and Localization with Limited Supervision
- Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
- Scalable and accurate deep learning for electronic health records
- Artificial Intelligence for Health and Health Care
- Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
- Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
- Medical Imaging Meets NIPS: A summary
- Do machines actually beat doctors?
- Improving Palliative Care with Deep Learning
- High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
- Deep learning with spatiotemporal consistency for nerve segmentation in ultrasound images
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
- Deep learning with convolutional neural networks for EEG decoding and visualization
- Decoding EEG and LFP Signals using Deep Learning: Heading TrueNorth
- Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
- Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance
- SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
- Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
- On evaluating brain tissue classifiers without a ground truth
- Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
- Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
- Concurrent Segmentation and Localization for Tracking of Surgical Instruments
- Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- Opportunities and obstacles for deep learning in biology and medicine
- Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
- Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve
- Deep Learning for Medical Image Analysis
- vessel detection in ultrasound images uisng deep learning
- FastVentricle: Cardiac Segmentation with ENet
- Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- PhD Thesis: Machine Learning for Simplifying the Use of Cardiac Image Databases
- Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease, pdf by email
- MICCAI 2016 Program
- V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- U-Net: Convolutional Networks for Biomedical Image Segmentation
- Automatic Pain Assessment with Facial Activity Descriptors
- DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
- LipNet: End-to-End Sentence-level Lipreading
- DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network
- Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
- Fast Face-swap Using Convolutional Neural Networks
- Emotion Recognition in the Wild from Videos using Images
- Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video
- Spatio-Temporal Pain Recognition in CNN-based Super-Resolved Facial Images
- Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
- Rainbow: Combining Improvements in Deep Reinforcement Learning
- Large-Scale Study of Curiosity-Driven Learning
- Learning Dexterous In-Hand Manipulation
- Parameter Space Noise for Exploration
- Proximal Policy Optimization Algorithms
- How to build your own AlphaZero AI using Python and Keras
- Deep Reinforcement Learning that Matters
- Deep Reinforcement Learning: An Overview
- Reinforcement Learning for Architecture Search by Network Transformation
- DEEP REINFORCEMENT LEARNING: AN OVERVIEW
- Deep Q Learning with Keras and Gym
- Dissecting Reinforcement Learning-Part.3
- Deep Reinforcement Learning applied to the game Bubble Shooter
- Guest Post (Part II): Deep Reinforcement Learning with Neon
- Demystifying Deep Reinforcement Learning
- Hierarchical Object Detection with Deep Reinforcement Learning
- Active Object Localization with Deep Reinforcement Learning
- Designing Neural Network Architectures using Reinforcement Learning
- A Style-Based Generator Architecture for Generative Adversarial Networks
- Everybody Dance Now
- Are GANs Created Equal? A Large-Scale Study
- High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
- Progressive Growing of GANs for Improved Quality, Stability, and Variation
- Be Your Own Prada: Fashion Synthesis with Structural Coherence
- PassGAN: A Deep Learning Approach for Password Guessing
- Wasserstein GAN
- Read-through: Wasserstein GAN
- Learning from Simulated and Unsupervised Images through Adversarial Training
- Delving deep into GANs
- An introduction to Generative Adversarial Networks (with code in TensorFlow)
- Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
- Ensembles of Generative Adversarial Networks
- Generative Adversarial Networks
- SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
- Stacked Generative Adversarial Networks
- StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
- Image-to-Image Translation with Conditional Adversarial Nets
- A path to unsupervised learning through adversarial networks
- PyRobot: An Open-source Robotics Framework for Research and Benchmarking
- A Survey of Robotic Hand Arm Systems
- A brief survey of commercial robotic arms for research on manipulation
- Model evaluation, model selection, and algorithm selection in machine learning
- CS 229 ― Machine Learning
- ICML 2018 Notes
- explained.ai
- Quantdare
- My Curated List of AI and Machine Learning Resources from Around the Web
- The $1700 great Deep Learning box: Assembly, setup and benchmarks
- Learning Deep Learning with Keras
- 41 Essential Machine Learning
- DropBox Blog
- Deep Learning Publication Navigator
- Running Jupyter notebooks on GPU on AWS: a starter guide
- Distill
- AI for all
- Course notes for CS224N Winter17
- CS 20SI: Tensorflow for Deep Learning Research
- Awesome - Most Cited Deep Learning Papers
- Prof. Dr. Laurenz Wiskott
- Hyperparameter optimization for Neural Networks
- GOOGLE CLOUD BIG DATA AND MACHINE LEARNING BLOG
- DeepTesla: End-to-End Learning from Human and Autopilot Driving
- Four Questions For: Geoff Hinton
- Pyimagesearch
- Freecode camp
- Recognizing Traffic Lights With Deep Learning
- Jeremy D. Jackson, blog
- Summary of NIPS 2016
- 50 things I learned at NIPS 2016
- Some interesting papers from NIPS 2016
- A Guide to Deep Learning by NY2
- Deep learning institute
- Hyperparameter optimization for Neural Networks
- 21 Deep Learning Videos, Tutorials & Courses on Youtube from 2016
- Coding a Deep Neural Network to Steer a Car: Step By Step
- How convolutional neural networks see the world
- A Visual and Interactive Guide to the Basics of Neural Networks
- Yes you should understand backprop
- Zero-Shot Translation with Google’s Multilingual Neural Machine Translation System
- NIPS 2016 Barcelona Scheduler
- [WildML] (http://www.wildml.com/)
- DL collection
- Awesome Tensorflow
- Q & A: The future of artificial intelligence
- Deep Learning Papers
- 5 Deep Learning Projects You Can No Longer Overlook
- Facebook: Artificial intelligence, revealed, Yan LeCun
- Neural Networks (General), Colah
- The 9 Deep Learning Papers You Need To Know About
- DeepDrive, self-driving car AI
- Andrej Kaepathy blog
- Arxiv Sanity Preserver
- Trending arXiv
- Semantic Scholar
- AI•ON, Artificial Intelligence Open Network
- Nathan Benaich, A digest of artificial intelligence and machine learning news
- Generative models, Open AI
- Machine Learning: A Complete and Detailed Overview
- Open Review
- Embedded Vision
- CPU benchmarks
- Machine Learning Mastery, Jason Brownlee
- Emergent Future
- Build a super fast deep learning machine for under $1,000