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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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10
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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5
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Fully convolutional networks for semantic segmentation
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2015
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Jonathan Long
Evan Shelhamer
Trevor Darrell
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4
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CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
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2018
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Yuhong Li
Xiaofan Zhang
Deming Chen
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4
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Re-imagining Algorithmic Fairness in India and Beyond
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2021
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Nithya Sambasivan
Erin Arnesen
Ben Hutchinson
Tulsee Doshi
Vinodkumar Prabhakaran
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4
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Deep Watershed Transform for Instance Segmentation
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2017
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Min Bai
Raquel Urtasun
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3
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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
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2016
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Christopher Choy
Danfei Xu
JunYoung Gwak
Kai Chen
Silvio Savarese
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3
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Zero-Shot Learning Through Cross-Modal Transfer
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2013
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Richard Socher
Milind Ganjoo
Christopher D. Manning
Andrew Y. Ng
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3
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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3
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SSD: Single Shot MultiBox Detector
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2016
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Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
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3
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
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2016
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Jiajun Wu
Chengkai Zhang
Tianfan Xue
William T. Freeman
Joshua B. Tenenbaum
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3
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Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
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2022
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Michael Madaio
Lisa Egede
Hariharan Subramonyam
Jennifer Wortman Vaughan
Hanna Wallach
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3
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Prototypical Networks for Few-shot Learning
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2017
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Jake Snell
Kevin Swersky
Richard S. Zemel
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3
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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
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2019
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Edgar Schönfeld
Sayna Ebrahimi
Samarth Sinha
Trevor Darrell
Zeynep Akata
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3
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Feature Generating Networks for Zero-Shot Learning
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2018
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Yongqin Xian
Tobias Lorenz
Bernt Schiele
Zeynep Akata
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3
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Counting Everyday Objects in Everyday Scenes
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2017
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Prithvijit Chattopadhyay
Ramakrishna Vedantam
Ramprasaath R. Selvaraju
Dhruv Batra
Devi Parikh
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3
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Model Cards for Model Reporting
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2019
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Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
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3
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Where Responsible AI meets Reality
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2021
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Bogdana Rakova
Jingying Yang
Henriette Cramer
Rumman Chowdhury
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3
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Improving Fairness in Machine Learning Systems
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2019
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Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miro Dudík
Hanna Wallach
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3
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph
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2016
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Julie Nutini
Behrooz Sepehry
Issam Laradji
Mark Schmidt
Hoyt Koepke
Alim Virani
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2
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FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
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2017
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Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
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2
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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
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2
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Few-shot Learning: A Survey
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2019
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Yaqing Wang
Quanming Yao
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2
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Learning Shape Priors for Single-View 3D Completion And Reconstruction
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2018
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Jiajun Wu
Chengkai Zhang
Xiuming Zhang
Zhoutong Zhang
William T. Freeman
Joshua B. Tenenbaum
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2
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Label-Embedding for Image Classification
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2015
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Zeynep Akata
Florent Perronnin
Zaïd Harchaoui
Cordelia Schmid
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2
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Distilling the Knowledge in a Neural Network
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2015
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Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
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2
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Zero-Shot Learning Through Cross-Modal Transfer
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2013
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Richard Socher
Milind Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
Andrew Y. Ng
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2
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Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
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2019
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Yuval Atzmon
Gal Chechik
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2
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Counterfactual Fairness in Text Classification through Robustness
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2019
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Sahaj Garg
Vincent Perot
Nicole Limtiaco
Ankur Taly
Ed H.
Alex Beutel
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2
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Multi-modal Cycle-Consistent Generalized Zero-Shot Learning
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2018
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Rafael Felix
B. G. Vijay Kumar
Ian Reid
Gustavo Carneiro
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2
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F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
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2019
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Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
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2
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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2015
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Sergey Ioffe
Christian Szegedy
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2
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Sparse Adversarial Perturbations for Videos
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2019
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Xingxing Wei
Jun Zhu
Sha Yuan
Hang Su
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2
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MarrNet: 3D Shape Reconstruction via 2.5D Sketches
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2017
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Jiajun Wu
Yifan Wang
Tianfan Xue
Xingyuan Sun
William T. Freeman
Joshua B. Tenenbaum
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2
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Learning Deep Representations of Fine-Grained Visual Descriptions
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2016
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Scott Reed
Zeynep Akata
Honglak Lee
Bernt Schiele
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2
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Let's Make Block Coordinate Descent Go Fast: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
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2017
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Julie Nutini
Issam Laradji
Mark Schmidt
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2
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Weakly Supervised Generative Adversarial Networks for 3D Reconstruction.
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2017
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JunYoung Gwak
Christopher Choy
Animesh Garg
Manmohan Chandraker
Silvio Savarese
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2
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Learning Robust Visual-Semantic Embeddings
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2017
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Yao-Hung Hubert Tsai
Liang-Kang Huang
Ruslan Salakhutdinov
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2
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Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
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2017
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Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
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2
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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2017
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Chelsea Finn
Pieter Abbeel
Sergey Levine
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2
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Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting
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2017
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Shohei Kumagai
Kazuhiro Hotta
Takio Kurita
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2
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A survey of recent advances in CNN-based single image crowd counting and density estimation
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2017
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Vishwanath A. Sindagi
Vishal M. Patel
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2
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An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
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2016
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Wei‐Lun Chao
Soravit Changpinyo
Boqing Gong
Fei Sha
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2
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A Simple Neural Attentive Meta-Learner
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2017
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Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
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2
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Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
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2017
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Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
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2
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Stacked Generative Adversarial Networks
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2017
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Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge Belongie
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2
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Where Are the Blobs: Counting by Localization with Point Supervision
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2018
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Issam Laradji
Negar Rostamzadeh
Pedro O. Pinheiro
David Vázquez
Mark Schmidt
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2
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Domain-Adversarial Training of Neural Networks
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2017
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Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
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2
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Latent Embeddings for Zero-Shot Classification
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2016
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Yongqin Xian
Zeynep Akata
Gaurav Sharma
Quynh L. Nguyen
Matthias Hein
Bernt Schiele
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2
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