【论文整理】机器学习顶会论文，按时间添加x

　【论文整理】机器学习顶会论文，按时间添加 Added 2018/10/01: • UNSUPERVISED LEARNING

　ECCV 2018

　Deep Clustering for Unsupervised Learning of Visual Features • OBJECT DETECTION

　POINT CLOUD

　SELF-DRIVING CARS

　ECCV 2018

　Deep Continuous Fusion for Multi-Sensor 3D Object Detection • AUDIO

　SOUND SOURCE LOCALIZATION

　ACTION RECOGNITION

　SOUND SOURCE SEPARATION

　SELF-SUPERVISED

　ECCV 2018

　Audio-Visual Scene Analysis with Self-Supervised Multisensory Features UNCERTAINTY

　ECCV 2018

　Towards Realistic Predictors • OBJECT DETECTION

　ECCV 2018

　Acquisition of Localization Confidence for Accurate Object Detection • OBJECT DETECTION

　ECCV 2018

　CornerNet: Detecting Objects as Paired Keypoints NORMALIZATION

　ECCV 2018

　Group Normalization • ARCHITECTURES

　ATTENTION

　ECCV 2018

　Convolutional Networks with Adaptive Inference Graphs Added 2018/03/08: • ARCHITECTURES

　ATTENTION

　Spatial Transformer Networks (thanks, alexobednikov) Added 2018/03/06: • LOSS FUNCTIONS

　RECOGNITION

　Working hard to know your neighbor’s margins: Local descriptor learning loss (thanks, alexobednikov) Added 2017/12/13: • FACE RECOGNITION

　FACES

　Neural Aggregation Network for Video Face Recognition (thanks, alexobednikov) Added 2017/12/03: Critical Learning Periods in Deep Neural Networks • GAN

　SELF-DRIVING CARS

　High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs • SELF-DRIVING CARS

　Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art Added 2017/10/28: • GAN

　Progressive Growing of GANs for Improved Quality, Stability, and Variation

　Added 2017/10/24: • SELF-DRIVING CARS

　Systematic Testing of Convolutional Neural Networks for Autonomous Driving • SELF-DRIVING CARS

　SEGMENTATION

　Fast Scene Understanding for Autonomous Driving • SELF-DRIVING CARS

　Argug Machines: Perception-Control System Redundancy and Edge Case Discovery in Real-World Autonomous Driving • SELF-DRIVING CARS

　GAN

　REINFORCEMENT

　Virtual to Real Reinforcement Learning for Autonomous Driving • SELF-DRIVING CARS

　End to End Learning for Self-Driving Cars Added 2017/10/21: Snapshot Ensembles: Train 1, get M for free • Image Crowd Counting Using Convolutional Neural Network and Markov Random Field • REINFORCEMENT

　Rainbow: Combining Improvements in Deep Reinforcement Learning REINFORCEMENT

　Learning Navigate in Complex Environments GAN

　Unsupervised Image-to-Image Translation Networks RNN

　Dilated Recurrent Neural Networks OBJECT DETECTION

　TRACKING

　Detect to Track and Track to Detect • ARCHITECTURES

　Dilated Residual Networks Added 2017/09/24: OBJECT DETECTION

　Feature Pyramid Networks for Object Detection OBJECT DETECTION

　SSD: Single Shot MultiBox Detector • OBJECT DETECTION

　EFFICIENT NETWORKS

　MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications • OBJECT DETECTION

　Mask R-CNN Added 2017/08/08: • FACES

　Multi-view Face Detection Using Deep Convolutional Neural Networks (aka DDFD) (thanks, arnaldog12) Added 2017/06/11: • GAN

　On the Effects of Batch and Weight Normalization in Generative Adversarial Networks GAN

　BEGAN • GAN

　StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks ACTIVATION FUNCTIONS

　Self-Normalizing Neural Networks • GAN

　Wasserstein GAN (aka WGAN)

　Added 2017/03/15: OBJECT DETECTION

　YOLO9000: Better, Faster, Stronger (aka YOLOv2) • OBJECT DETECTION

　You Only Look Once: Unified, Real-Time Object Detection (aka YOLO) • OBJECT DETECTION

　PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection Added 2017/03/14: • OBJECT DETECTION

　R-FCN: Object Detection via Region-based Fully Convolutional Networks OBJECT DETECTION

　er R-CNN OBJECT DETECTION

　Fast R-CNN • OBJECT DETECTION

　Rich feature hierarchies for accurate object detection and semantic segmentation (aka R-CNN) PEDESTRIANS

　Ten Years of Pedestrian Detection, What Have We Learned? • NEURAL STYLE

　Instance Normalization: The Missing Ingredient for Fast Stylization Added 2016/07/29: • HUMAN POSE ESTIMATION

　Stacked Hourglass Networks for Human Pose Estimation • FACES

　DeepFace: Closing the Gap to Human-Level Performance in Face Verification • TRANSLATION

　Character-based Neural Machine Translation Added 2016/07/01: HUMAN POSE ESTIMATION

　Convolutional Pose Machines • FACES

　HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition FACES

　Face Attribute Prediction Using Off-the-Shelf CNN Features • FACES

　CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection Conditional Image Generation with PixelCNN Decoders • GAN

　InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets GAN

　Improved Techniques for Training GANs • Synthesizing the preferred inputs for neurons in neural networks via deep generator networks Added 2016/06/06: ARCHITECTURES

　FractalNet: Ultra-Deep Neural Networks without Residuals • PlaNet - Photo Geolocation with Convolutional Neural Networks

　OPTIMIZERS

　Adam: A Method for Stochastic Optimization GAN

　RNN

　Generating images with recurrent adversarial networks • GAN

　Adversarially Learned Inference Added 2016/06/02: ARCHITECTURES

　Resnet in Resnet: Generalizing Residual Architectures AUTOENCODERS

　Rank Ordered Autoencoders ARCHITECTURES

　Wide Residual Networks ARCHITECTURES

　Identity Mappings in Deep Residual Networks REGULARIZATION

　Swapout: Learning an ensemble of deep architectures Multi-Scale Context Aggregation by Dilated Convolutions • Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints • Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks Added 2016/05/15: • NEURAL STYLE

　Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artwork • Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis • SUPERRESOLUTION

　Accurate Image Super-Resolution Using Very Deep Convolutional Networks • HUMAN POSE ESTIMATION

　Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation • REINFORCEMENT

　Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation • COLORIZATION

　Let there be Color Added 2016/05/08: • NEURAL STYLE

　Artistic Style Transfer for Videos Added 2016/05/03: REINFORCEMENT

　Playing Atari with Deep Reinforcement Learning • GENERATIVE

　Attend, Infer, Repeat: Fast Scene Understanding with Generative Models • ARCHITECTURES

　EFFICIENT NETWORKS

　SqueeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size ACTIVATION FUNCTIONS

　Noisy Activation Functions • OBJECT DETECTION

　IMAGE TO TEXT

　DenseCap: Fully Convolutional Localization Networks for Dense Captioning

　Added 2016/04/01: • REGULARIZATION

　Deep Networks with Stochastic Depth Added 2016/03/31: • GAN

　Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks • GENERATIVE

　RNN

　ATTENTION

　DRAW A Recurrent Neural Network for Image on Generating Images with Perceptual Similarity Metrics based on Deep Networks GENERATIVE

　Generative Moment Matching Networks GENERATIVE

　RNN

　Pixel Recurrent Neural Networks • GAN

　Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Added 2016/03/??: NEURAL STYLE

　A Neural Algorithm for Artistic Style • NORMALIZATION

　REGULARIZATION

　Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift ARCHITECTURES

　Deep Residual Learning for Image Recognition • ACTIVATION FUNCTIONS

　Fast and Accurate Deep Networks Learning By Exponential Linear Units (ELUs) Fractional Max-Pooling GAN

　Generative Adversarial Networks • ARCHITECTURES

　Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning • NORMALIZATION

　Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks