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17.06 - Self-Normalizing Neural Networks
17.06 - StreetStyle: Exploring world-wide clothing styles from millions of photos
17.05 - Visual Attribute Transfer through Deep Image Analogy
17.05 - pix2code: Generating Code from a Graphical User Interface Screenshot
17.04 - Softmax GAN
17.04 - Generate To Adapt - Aligning Domains using Generative Adversarial Networks
17.03 - Neural Episodic Control
17.03 - Mask R-CNN
17.03 - BEGAN- Boundary Equilibrium Generative Adversarial Networks
17.03 - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
17.02 - Understanding Deep Learning Requires Rethinking Generalization
17.02 - Adversarial Discriminative Domain Adaptation
17.01 - Wasserstein GAN
17.01 - NIPS Tutorial - Generative Adversarial Networks
17.01 - Learning From Noisy Large-Scale Datasets With Minimal Supervision
16.12 - Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
16.12 - YOLO9000: Better, Faster, Stronger
16.11 - Deep Information Propagation
16.11 - Speed/accuracy trade-offs for modern convolutional object detectors
16/11 - Neural Architecture Search with Reinforcement Learning
16.07 - Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
16.05 - Domain-Adversarial Training of Neural Networks
16.01 - Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
15.12 - Deep Residual Learning for Image Recognition
15.11 - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
15.04 - Active Learning by Learning
15.04 - Fast R-CNN
15.02 - Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
14.12 - Dropout: A Simple Way to Prevent Neural Networks from Overfitting
14.11 - Conditional Generative Adversarial Nets
14.09 - Unsupervised Domain Adaptation by Backpropagation
14.06 - Generative Adversarial Nets
14.06 - Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks
11.06 - Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
10.06 - Deconvolutional Networks
10.01 - Active Learning Literature Survey
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