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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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7
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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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4
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Zero-Shot Learning — The Good, the Bad and the Ugly
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2017
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Yongqin Xian
Bernt Schiele
Zeynep Akata
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4
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Invertible Zero-Shot Recognition Flows
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2020
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Yuming Shen
Jie Qin
Lei Huang
Li Liu
Fan Zhu
Ling Shao
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3
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Contrastive Embedding for Generalized Zero-Shot Learning
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2021
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Zongyan Han
Zhenyong Fu
Shuo Chen
Jian Yang
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3
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Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
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2018
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Tushar Nagarajan
Kristen Grauman
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3
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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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3
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Disentangling Visual Embeddings for Attributes and Objects
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2022
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Nirat Saini
Khoi Pham
Abhinav Shrivastava
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3
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Learning Conditional Attributes for Compositional Zero-Shot Learning
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2023
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Qingsheng Wang
Lingqiao Liu
Chenchen Jing
Hao Chen
Guoqiang Liang
Peng Wang
Chunhua Shen
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3
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Counterfactual Zero-Shot and Open-Set Visual Recognition
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2021
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Zhongqi Yue
Tan Wang
Qianru Sun
Xian–Sheng Hua
Hanwang Zhang
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2
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Inferring Analogous Attributes
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2014
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Chao-Yeh Chen
Kristen Grauman
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2
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Efficient Estimation of Word Representations in Vector Space
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2013
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Tomáš Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
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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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Learning a Deep Embedding Model for Zero-Shot Learning
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2017
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Li Zhang
Tao Xiang
Shaogang Gong
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2
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Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
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2023
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Xiaocheng Lu
Song Guo
Ziming Liu
Jingcai Guo
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2
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Zero-Shot Logit Adjustment
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2022
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Dubing Chen
Yuming Shen
Haofeng Zhang
Philip H. S. Torr
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2
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Semantics Disentangling for Generalized Zero-Shot Learning
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2021
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Zhi Chen
Yadan Luo
Ruihong Qiu
Sen Wang
Zi Huang
Jingjing Li
Zheng Zhang
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2
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Open World Compositional Zero-Shot Learning
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2021
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Massimiliano Mancini
Muhammad Ferjad Naeem
Yongqin Xian
Zeynep Akata
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2
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Deep Unsupervised Image Hashing by Maximizing Bit Entropy
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2021
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Yunqiang Li
Jan van Gemert
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2
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Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
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2022
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Massimiliano Mancini
Muhammad Ferjad Naeem
Yongqin Xian
Zeynep Akata
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2
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CIMON: Towards High-quality Hash Codes
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2021
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Xiao Luo
Daqing Wu
Zeyu Ma
Chong Chen
Minghua Deng
Jinwen Ma
Zhongming Jin
Jianqiang Huang
Xian–Sheng Hua
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2
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FREE: Feature Refinement for Generalized Zero-Shot Learning
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2021
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Shiming Chen
Wenjie Wang
Beihao Xia
Qinmu Peng
Xinge You
Feng Zheng
Ling Shao
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2
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Distributed Representations of Words and Phrases and their Compositionality
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2013
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Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jeffrey Dean
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2
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Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
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2022
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Xiangyu Li
Xu Yang
Kun Wei
Cheng Deng
Muli Yang
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2
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A causal view of compositional zero-shot recognition
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2020
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Yuval Atzmon
Felix Kreuk
Uri Shalit
Gal Chechik
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2
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Focal Loss for Dense Object Detection
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2018
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
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2
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Auto-Encoding Twin-Bottleneck Hashing
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2020
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Yuming Shen
Jie Qin
Jiaxin Chen
Mengyang Yu
Li Liu
Fan Zhu
Fumin Shen
Ling Shao
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2
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Binary Generative Adversarial Networks for Image Retrieval
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2018
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Jingkuan Song
Tao He
Lianli Gao
Xing Xu
Alan Hanjalić
Heng Tao Shen
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2
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Task-Driven Modular Networks for Zero-Shot Compositional Learning
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2019
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Senthil Purushwalkam
Maximillian Nickel
Abhinav Gupta
Marc’Aurelio Ranzato
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2
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Unsupervised Hashing with Contrastive Information Bottleneck
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2021
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Zexuan Qiu
Qinliang Su
Zijing Ou
Jianxing Yu
Changyou Chen
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2
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Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning
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2020
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Shaobo Min
Hantao Yao
Hongtao Xie
Chaoqun Wang
Zheng-Jun Zha
Yongdong Zhang
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2
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Zero-Shot Learning via Semantic Similarity Embedding
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2015
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Ziming Zhang
Venkatesh Saligrama
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2
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DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
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2019
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Erkun Yang
Tongliang Liu
Cheng Deng
Wei Liu
Dacheng Tao
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2
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Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective
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2019
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Kai Li
Martin Renqiang Min
Yun Fu
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2
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Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition
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2020
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Zongyan Han
Zhenyong Fu
Jian Yang
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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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Attribute Prototype Network for Zero-Shot Learning
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2020
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Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
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2
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Improved Training of Wasserstein GANs
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2017
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Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
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2
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Evaluation of output embeddings for fine-grained image classification
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2015
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Zeynep Akata
Scott Reed
Daniel Walter
Honglak Lee
Bernt Schiele
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2
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Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
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2020
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Sanath Narayan
Akshita Gupta
Fahad Shahbaz Khan
Cees G. M. Snoek
Ling Shao
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2
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Long-tail learning via logit adjustment
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2020
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Aditya Krishna Menon
Sadeep Jayasumana
Ankit Singh Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
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2
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Learning Graph Embeddings for Compositional Zero-shot Learning
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2021
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Muhammad Ferjad Naeem
Yongqin Xian
Federico Tombari
Zeynep Akata
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2
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Boosting Adversarial Attacks with Momentum
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2018
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Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
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1
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A systematic study of the class imbalance problem in convolutional neural networks
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2018
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Mateusz Buda
Atsuto Maki
Maciej A. Mazurowski
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1
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Semantic Autoencoder for Zero-Shot Learning
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2017
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Elyor Kodirov
Tao Xiang
Shaogang Gong
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1
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Learning Transferable Features with Deep Adaptation Networks
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2015
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Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
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1
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DeepPermNet: Visual Permutation Learning
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2017
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Rodrigo Santa Cruz
Basura Fernando
Anoop Cherian
Stephen Jay Gould
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1
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Colorization as a Proxy Task for Visual Understanding
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2017
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Gustav Larsson
Michael Maire
Gregory Shakhnarovich
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1
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Stochastic Generative Hashing
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2017
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Bo Dai
Ruiqi Guo
Sanjiv Kumar
Niao He
Le Song
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1
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Wasserstein Auto-Encoders
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2018
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Ilya Tolstikhin
Olivier Bousquet
Sylvain Gelly
Bernhard Schölkopf
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1
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