{"list":"other","total":55,"rows":[{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1710.10196","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","created":"2017-10-27","cited_by_count":2988},{"id":"1606.03498","title":"Improved Techniques for Training GANs","created":"2016-06-10","cited_by_count":2970},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"1511.06434","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","created":"2015-11-19","cited_by_count":2054},{"id":"1802.05957","title":"Spectral Normalization for Generative Adversarial Networks","created":"2018-02-16","cited_by_count":1636},{"id":"1506.03365","title":"LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop","created":"2015-06-10","cited_by_count":1355},{"id":"1611.04076","title":"Least Squares Generative Adversarial Networks","created":"2016-11-13","cited_by_count":1001},{"id":"1906.06972","title":"EnlightenGAN: Deep Light Enhancement without Paired Supervision","created":"2019-06-17","cited_by_count":466},{"id":"1908.03826","title":"DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better","created":"2019-08-10","cited_by_count":362},{"id":"1701.00160","title":"NIPS 2016 Tutorial: Generative Adversarial Networks","created":"2016-12-31","cited_by_count":285},{"id":"1812.05239","title":"Improving fairness in machine learning systems: What do industry practitioners need?","created":"2018-12-13","cited_by_count":262},{"id":"1802.06739","title":"Differentially Private Generative Adversarial Network","created":"2018-02-19","cited_by_count":235},{"id":"1710.10916","title":"StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks","created":"2017-10-19","cited_by_count":229},{"id":"1801.01973","title":"A Note on the Inception Score","created":"2018-01-06","cited_by_count":226},{"id":"1802.03446","title":"Pros and Cons of GAN Evaluation Measures","created":"2018-02-09","cited_by_count":224},{"id":"1606.07536","title":"Coupled Generative Adversarial Networks","created":"2016-06-24","cited_by_count":216},{"id":"1611.02163","title":"Unrolled Generative Adversarial Networks","created":"2016-11-07","cited_by_count":208},{"id":"1705.07761","title":"VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning","created":"2017-05-22","cited_by_count":200},{"id":"1905.00641","title":"RetinaFace: Single-stage Dense Face Localisation in the Wild","created":"2019-05-02","cited_by_count":165},{"id":"1805.11202","title":"FairGAN: Fairness-aware Generative Adversarial Networks","created":"2018-05-28","cited_by_count":164},{"id":"1910.11626","title":"Seeing What a GAN Cannot Generate","created":"2019-10-24","cited_by_count":148},{"id":"2004.07999","title":"REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets","created":"2020-04-16","cited_by_count":136},{"id":"1612.02136","title":"Mode Regularized Generative Adversarial Networks","created":"2016-12-07","cited_by_count":123},{"id":"1712.04086","title":"PacGAN: The power of two samples in generative adversarial networks","created":"2017-12-12","cited_by_count":104},{"id":"1908.03835","title":"AutoGAN: Neural Architecture Search for Generative Adversarial Networks","created":"2019-08-11","cited_by_count":94},{"id":"2002.10191","title":"Learning Attentive Pairwise Interaction for Fine-Grained Classification","created":"2020-02-24","cited_by_count":84},{"id":"1611.01673","title":"Generative Multi-Adversarial Networks","created":"2016-11-05","cited_by_count":60},{"id":"1704.02906","title":"Multi-Agent Diverse Generative Adversarial Networks","created":"2017-04-10","cited_by_count":59},{"id":"1810.06758","title":"Discriminator Rejection Sampling","created":"2018-10-16","cited_by_count":49},{"id":"1807.08379","title":"Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study","created":"2018-07-22","cited_by_count":48},{"id":"1905.01354","title":"Controllable Artistic Text Style Transfer via Shape-Matching GAN","created":"2019-05-03","cited_by_count":45},{"id":"1901.03396","title":"Detecting Overfitting of Deep Generative Networks via Latent Recovery","created":"2019-01-09","cited_by_count":44},{"id":"2008.11062","title":"GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework","created":"2020-08-25","cited_by_count":44},{"id":"1811.11357","title":"Metropolis-Hastings Generative Adversarial Networks","created":"2018-11-28","cited_by_count":41},{"id":"2001.02890","title":"Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches","created":"2020-01-09","cited_by_count":37},{"id":"1803.04469","title":"An Introduction to Image Synthesis with Generative Adversarial Nets","created":"2018-03-12","cited_by_count":32},{"id":"1805.09910","title":"Fairness GAN","created":"2018-05-24","cited_by_count":32},{"id":"1806.09283","title":"RAM: A Region-Aware Deep Model for Vehicle Re-Identification","created":"2018-06-25","cited_by_count":30},{"id":"1905.13342","title":"All-In-One Underwater Image Enhancement using Domain-Adversarial Learning","created":"2019-05-30","cited_by_count":29},{"id":"1706.08224","title":"Do GANs actually learn the distribution? An empirical study","created":"2017-06-26","cited_by_count":23},{"id":"1908.03856","title":"Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach","created":"2019-08-11","cited_by_count":23},{"id":"1809.00981","title":"DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification","created":"2018-08-29","cited_by_count":18},{"id":"1812.01936","title":"Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment","created":"2018-12-05","cited_by_count":17},{"id":"1905.08997","title":"Attributes Guided Feature Learning for Vehicle Re-identification","created":"2019-05-22","cited_by_count":12},{"id":"1807.07718","title":"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","created":"2018-07-20","cited_by_count":10},{"id":"2010.02529","title":"PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning","created":"2020-10-06","cited_by_count":7},{"id":"1811.00174","title":"Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks","created":"2018-11-01","cited_by_count":6},{"id":"2010.01158","title":"MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis","created":"2020-10-02","cited_by_count":5},{"id":"1511.06440","title":"Towards Principled Unsupervised Learning","created":"2015-11-19","cited_by_count":4},{"id":"1811.10669","title":"GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation","created":"2018-11-26","cited_by_count":3},{"id":"1708.01729","title":"Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative","created":"2017-08-05","cited_by_count":2},{"id":"2010.06454","title":"The DongNiao International Birds 10000 Dataset","created":"2020-09-21","cited_by_count":1}],"next_cursor":null}