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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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3
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Semi-Supervised Learning with Generative Adversarial Networks
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2016
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Augustus Odena
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Deep Speaker: an End-to-End Neural Speaker Embedding System
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2017
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Chao Li
Xiaokong Ma
Bing Jiang
Xiangang Li
Xuewei Zhang
Xiao Liu
Ying Cao
Ajay Kannan
Zhenyao Zhu
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2
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Least Squares Generative Adversarial Networks
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2017
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Xudong Mao
Qing Li
Haoran Xie
Raymond Y.K. Lau
Zhen Wang
Stephen Paul Smolley
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Understanding the exploding gradient problem
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2012
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Razvan Pascanu
TomĂĄĹĄ Mikolov
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Triple Generative Adversarial Nets
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2017
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Chongxuan Li
Kun Xu
Jun Zhu
Bo Zhang
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1
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A Structured Self-attentive Sentence Embedding
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2017
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Zhouhan Lin
Minwei Feng
CĂcero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
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SEGAN: Speech Enhancement Generative Adversarial Network
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2017
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Santiago Pascual
Antonio Bonafonte
Joan SerrĂ
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BEGAN: Boundary Equilibrium Generative Adversarial Networks
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2017
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David Berthelot
Thomas Schumm
Luke Metz
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Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
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2017
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Chin-Cheng Hsu
Hsin-Te Hwang
Yi-Chiao Wu
Yu Tsao
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VoxCeleb: A Large-Scale Speaker Identification Dataset
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2017
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Arsha Nagrani
Joon Son Chung
Andrew Zisserman
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Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis
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2017
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Bajibabu Bollepalli
Lauri Juvela
Paavo Alku
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mixup: Beyond Empirical Risk Minimization
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2017
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Hongyi Zhang
Moustapha CissĂŠ
Yann Dauphin
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Attentive Statistics Pooling for Deep Speaker Embedding
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2018
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Koji Okabe
Takafumi Koshinaka
Koichi Shinoda
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Gaussian Error Linear Units (GELUs)
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Kevin Gimpel
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Dual Attention Network for Scene Segmentation
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2019
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Jun Fu
Jing Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
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Generalized End-to-End Loss for Speaker Verification
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2018
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Li Wan
Quan Wang
Alan Papir
Ignacio LĂłpez Moreno
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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
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2017
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Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
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Voice Conversion from Unaligned Corpora Using Variational Autoencoding Wasserstein Generative Adversarial Networks
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2017
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Chin-Cheng Hsu
Hsin-Te Hwang
Yi-Chiao Wu
Yu Tsao
HsinâMin Wang
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1
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Image-to-Image Translation with Conditional Adversarial Networks
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2017
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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Non-local Neural Networks
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2018
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Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
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1
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Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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2015
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Jost Tobias Springenberg
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1
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SEGAN: Speech Enhancement Generative Adversarial Network
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2017
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Santiago Pascual
Antonio Bonafonte
Joan SerrĂ
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1
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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2015
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Alec Radford
Luke Metz
Soumith Chintala
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Learning Transferable Architectures for Scalable Image Recognition
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2018
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Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
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1
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Triple Generative Adversarial Nets
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2017
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Chongxuan Li
Kun Xu
Jun Zhu
Bo Zhang
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1
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GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond
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2019
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Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
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2019
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Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Seong Joon Oh
Youngjoon Yoo
Junsuk Choe
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1
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Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition
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2020
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Xin Liu
Baotian Hu
Qingcai Chen
Xiangping Wu
Jinghan You
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1
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Random Erasing Data Augmentation
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2020
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Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
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1
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Designing Network Design Spaces
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2020
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Ilija Radosavovic
Raj Prateek Kosaraju
Ross Girshick
Kaiming He
Piotr DollĂĄr
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1
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Quantifying Attention Flow in Transformers
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2020
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Samira Abnar
Willem Zuidema
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1
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Randaugment: Practical automated data augmentation with a reduced search space
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2020
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Ekin D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
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1
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BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture
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2021
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Zixiang Ding
Yaran Chen
Nannan Li
Dongbin Zhao
Zhiquan Sun
C. L. Philip Chen
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1
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End-to-End Object Detection with Transformers
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2020
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Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
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1
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Feature Pyramid Transformer
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2020
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Dong Zhang
Hanwang Zhang
Jinhui Tang
Meng Wang
XianâSheng Hua
Qianru Sun
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1
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Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
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2021
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Li Yuan
Yunpeng Chen
Tao Wang
Weihao Yu
Yujun Shi
Zihang Jiang
Francis E. H. Tay
Jiashi Feng
Shuicheng Yan
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1
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Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
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2021
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Thao Nguyen
Maithra Raghu
Simon Kornblith
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1
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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2021
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Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
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1
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Heuristic rank selection with progressively searching tensor ring network
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2021
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Nannan Li
Yu Pan
Yaran Chen
Zixiang Ding
Dongbin Zhao
Zenglin Xu
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1
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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
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2021
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Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
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1
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MLP-Mixer: An all-MLP Architecture for Vision
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2021
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Ilya Tolstikhin
Neil Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
Thomas Unterthiner
Jessica Yung
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
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1
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ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
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2022
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Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
Ădouard Grave
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
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1
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ModuleNet: Knowledge-Inherited Neural Architecture Search
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2021
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Yaran Chen
Ruiyuan Gao
Fenggang Liu
Dongbin Zhao
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1
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Bottleneck Transformers for Visual Recognition
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2021
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Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
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1
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AutoFormer: Searching Transformers for Visual Recognition
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2021
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Minghao Chen
Houwen Peng
Jianlong Fu
Haibin Ling
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1
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CvT: Introducing Convolutions to Vision Transformers
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2021
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Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
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1
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Segmenter: Transformer for Semantic Segmentation
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2021
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Robin Strudel
Ricardo GarcĂa
Ivan Laptev
Cordelia Schmid
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1
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BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search
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2022
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Zixiang Ding
Yaran Chen
Nannan Li
Dongbin Zhao
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1
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Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
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2021
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Zixiang Ding
Yaran Chen
Nannan Li
Dongbin Zhao
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1
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