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Deep representation learning has become one of the most widely adopted approaches for visual search, recommendation, and identification.
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Convex optimization
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Distinctive image features from scale-invariant keypoints
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Optimizing sparse matrix–vector product computations using unroll and jam
John Mellor-Crummey and John Garvin · 2004
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Sparse matrix-vector multiplication on fpgas
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Fast transpose methods for kernel learning on sparse data
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Sparse matrix computations on reconfigurable hardware
Viktor K Prasanna and Gerald R Morris · 2007
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Efficient learning of sparse representations with an energy-based model
Marc’Aurelio Ranzato, Christopher Poultney, Sumit Chopra, and Yann L Cun · 2007
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Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
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Sparse deep belief net model for visual area v2
Honglak Lee, Chaitanya Ekanadham, and Andrew Y Ng · 2008
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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The group lasso for logistic regression
Lukas Meier, Sara Van De Geer, and Peter Bühlmann · 2008
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Sparse feature learning for deep belief networks
Marc’Aurelio Ranzato, Y-Lan Boureau, and Yann L Cun · 2008
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Cifar-10 and cifar-100 datasets
Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton · 2009
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Locality-sensitive binary codes from shift-invariant kernels
Maxim Raginsky and Svetlana Lazebnik · 2009
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Distance metric learning for large margin nearest neighbor classification
Kilian Q Weinberger and Lawrence K Saul · 2009
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Spectral hashing
Yair Weiss, Antonio Torralba, and Rob Fergus · 2009
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Fpga vs. gpu for sparse matrix vector multiply
Yan Zhang, Yasser H Shalabi, Rishabh Jain, Krishna K Nagar, and Jason D Bakos · 2009
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Fast inference in sparse coding algorithms with applications to object recognition
Koray Kavukcuoglu, Marc’Aurelio Ranzato, and Yann LeCun · 2010
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Parallel symmetric sparse matrix–vector product on scalar multi-core cpus
Marcin Krotkiewski and Marcin Dabrowski · 2010
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Improving the performance of the sparse matrix vector product with gpus
Francisco Vazquez, G Ortega, José-Jesús Fernández, and Ester M Garzón · 2010
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Exclusive lasso for multi-task feature selection
Yang Zhou, Rong Jin, and Steven Chu-Hong Hoi · 2010
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Product quantization for nearest neighbor search
Herve Jegou, Matthijs Douze, and Cordelia Schmid · 2011
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Sparse autoencoder
Andrew Ng et al · 2011
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A new approach for sparse matrix vector product on nvidia gpus
Francisco Vázquez, José-Jesús Fernández, and Ester M Garzón · 2011
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A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality
Xueyi Wang · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Hamming distance metric learning
Mohammad Norouzi, David J Fleet, and Ruslan R Salakhutdinov · 2012
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Eie: efficient inference engine on compressed deep neural network
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A Horowitz, and William J Dally · 2016
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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The megaface benchmark: 1 million faces for recognition at scale
Ira Kemelmacher-Shlizerman, Steven M Seitz, Daniel Miller, and Evan Brossard · 2016
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Large-margin softmax loss for convolutional neural networks
Weiyang Liu, Yandong Wen, Zhiding Yu, and Meng Yang · 2016
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Learning text similarity with siamese recurrent networks
Paul Neculoiu, Maarten Versteegh, and Mihai Rotaru · 2016
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Scalable image retrieval by sparse product quantization
Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven CH Hoi, and Chun Chen · 2016
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Maximum inner-product search using cone trees
Parikshit Ram and Alexander G Gray · 2012
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Adaptive dropout for training deep neural networks
Jimmy Ba and Brendan Frey · 2013
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Optimized product quantization for approximate nearest neighbor search
Tiezheng Ge, Kaiming He, Qifa Ke, and Jian Sun · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Alireza Makhzani and Brendan Frey · 2013
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Learning image embeddings using convolutional neural networks for improved multi-modal semantics
Douwe Kiela and Léon Bottou · 2014
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Learning structured sparsity in deep neural networks
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, and Hai Li · 2016
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A neural algorithm for a fundamental computing problem
Sanjoy Dasgupta, Charles F Stevens, and Saket Navlakha · 2017
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2017
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Deep supervised discrete hashing
Qi Li, Zhenan Sun, Ran He, and Tieniu Tan · 2017
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Variational dropout sparsifies deep neural networks
Dmitry Molchanov, Arsenii Ashukha, and Dmitry Vetrov · 2017
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Agedb: the first manually collected, in-the-wild age database
Stylianos Moschoglou, Athanasios Papaioannou, Christos Sagonas, Jiankang Deng, Irene Kotsia, and Stefanos Zafeiriou · 2017
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No fuss distance metric learning using proxies
Yair Movshovitz-Attias, Alexander Toshev, Thomas K Leung, Sergey Ioffe, and Saurabh Singh · 2017
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Deep metric learning via facility location
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, and Kevin Murphy · 2017
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Scnn: An accelerator for compressed-sparse convolutional neural networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen W Keckler, and William J Dally · 2017
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How should we evaluate supervised hashing?
Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, and Hervé Jégou · 2017
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Deep learning based large scale visual recommendation and search for e-commerce
Devashish Shankar, Sujay Narumanchi, HA Ananya, Pramod Kompalli, and Krishnendu Chaudhury · 2017
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Revisiting the inverted indices for billion-scale approximate nearest neighbors
Dmitry Baranchuk, Artem Babenko, and Yury Malkov · 2018
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Deep cauchy hashing for hamming space retrieval
Yue Cao, Mingsheng Long, Bin Liu, and Jianmin Wang · 2018
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Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices
Sheng Chen, Yang Liu, Xiang Gao, and Zhen Han · 2018
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, and Stefanos Zafeiriou · 2018
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Efficient end-to-end learning for quantizable representations
Yeonwoo Jeong and Hyun Oh Song · 2018
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Fast similarity search via optimal sparse lifting
Wenye Li, Jingwei Mao, Yin Zhang, and Shuguang Cui · 2018
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Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs
Yury A Malkov and Dmitry A Yashunin · 2018
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Adversarial dropout for supervised and semi-supervised learning
Sungrae Park, JunKeon Park, Su-Jin Shin, and Il-Chul Moon · 2018
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How does batch normalization help optimization?
Shibani Santurkar, Dimitris Tsipras, Andrew Ilyas, and Aleksander Madry · 2018
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A survey on learning to hash
Jingdong Wang, Ting Zhang, Nicu Sebe, Heng Tao Shen, et al · 2018
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Spreading vectors for similarity search
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, and Hervé Jégou · 2019
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Low-memory neural network training: A technical report
Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, and Christopher Ré · 2019
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