
Multiple Code Hashing for Efficient Image Retrieval
Due to its low storage cost and fast query speed, hashing has been widel...
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ExchNet: A Unified Hashing Network for LargeScale FineGrained Image Retrieval
Retrieving content relevant images from a largescale finegrained datas...
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Stochastic Normalized Gradient Descent with Momentum for Large Batch Training
Stochastic gradient descent (SGD) and its variants have been the dominat...
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TOMA: Topological Map Abstraction for Reinforcement Learning
Animals are able to discover the topological map (graph) of surrounding ...
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BASGD: Buffered Asynchronous SGD for Byzantine Learning
Distributed learning has become a hot research topic, due to its wide ap...
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Stagewise Enlargement of Batch Size for SGDbased Learning
Existing research shows that the batch size can seriously affect the per...
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Weight Normalization based Quantization for Deep Neural Network Compression
With the development of deep neural networks, the size of network models...
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ADASS: Adaptive Sample Selection for Training Acceleration
Stochastic gradient decent (SGD) and its variants, including some accele...
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Clustered Reinforcement Learning
Exploration strategy design is one of the challenging problems in reinfo...
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On the Convergence of MemoryBased Distributed SGD
Distributed stochastic gradient descent (DSGD) has been widely used for ...
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Global Momentum Compression for Sparse Communication in Distributed SGD
With the rapid growth of data, distributed stochastic gradient descent (...
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Deep MultiIndex Hashing for Person ReIdentification
Traditional person reidentification (ReID) methods typically represent ...
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On the Evaluation Metric for Hashing
Due to its low storage cost and fast query speed, hashing has been widel...
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Collaborative SelfAttention for Recommender Systems
Recommender systems (RS), which have been an essential part in a wide ra...
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Gated Group SelfAttention for Answer Selection
Answer selection (answer ranking) is one of the key steps in many kinds ...
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Hashing based Answer Selection
Answer selection is an important subtask of question answering (QA), whe...
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Quantized EpochSGD for CommunicationEfficient Distributed Learning
Due to its efficiency and ease to implement, stochastic gradient descent...
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Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate
Distributed sparse learning with a cluster of multiple machines has attr...
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Convolutional Geometric Matrix Completion
Geometric matrix completion (GMC) has been proposed for recommendation b...
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FeatureDistributed SVRG for HighDimensional Linear Classification
Linear classification has been widely used in many highdimensional appl...
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Asymmetric Deep Supervised Hashing
Hashing has been widely used for largescale approximate nearest neighbo...
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FullTime Supervision based Bidirectional RNN for Factoid Question Answering
Recently, bidirectional recurrent neural network (BRNN) has been widely ...
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A Proximal Stochastic QuasiNewton Algorithm
In this paper, we discuss the problem of minimizing the sum of two conve...
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SCOPE: Scalable Composite Optimization for Learning on Spark
Many machine learning models, such as logistic regression (LR) and suppo...
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Feature Learning based Deep Supervised Hashing with Pairwise Labels
Recent years have witnessed wide application of hashing for largescale ...
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A Parallel algorithm for XArmed bandits
The target of Xarmed bandit problem is to find the global maximum of an...
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Fast Asynchronous Parallel Stochastic Gradient Decent
Stochastic gradient descent (SGD) and its variants have become more and ...
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WuJun Li
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