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08/27/2023
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos
Video temporal character grouping locates appearing moments of major cha...
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08/08/2023
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
Temporal sentence grounding (TSG) aims to locate a specific moment from ...
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08/18/2022
See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval
Text-based person retrieval aims to find the query person based on a tex...
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07/14/2022
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
The rise of deep neural networks provides an important driver in optimiz...
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11/27/2021
Head and Body: Unified Detector and Graph Network for Person Search in Media
Person search in media has seen increasing potential in Internet applica...
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06/06/2021
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
Chronological age of healthy people is able to be predicted accurately u...
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04/30/2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
To enable DNNs on edge devices like mobile phones, low-rank approximatio...
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04/20/2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
Modern deep neural networks (DNNs) often require high memory consumption...
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12/02/2019
Neural Predictor for Neural Architecture Search
Neural Architecture Search methods are effective but often use complex a...
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10/09/2019
Traned Rank Pruning for Efficient Deep Neural Networks
To accelerate DNNs inference, low-rank approximation has been widely ado...
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09/25/2019
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30
Generative adversarial network (GAN) has greatly improved the quality of...
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08/27/2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
In seeking for sparse and efficient neural network models, many previous...
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06/19/2019
Joint Pruning on Activations and Weights for Efficient Neural Networks
With rapidly scaling up of deep neural networks (DNNs), extensive resear...
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06/07/2019
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
We propose AutoGrow to automate depth discovery in Deep Neural Networks ...
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01/26/2019
PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training
Model pruning is a popular mechanism to make a network more efficient fo...
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12/06/2018
Trained Rank Pruning for Efficient Deep Neural Networks
The performance of Deep Neural Networks (DNNs) keeps elevating in recent...
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09/30/2018
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
Training convolutional neural networks (CNNs) requires intense computati...
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05/21/2018
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning
In distributed deep learning, a large batch size in Stochastic Gradient ...
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04/10/2018
ConPredictor: Concurrency Defect Prediction in Real-World Applications
Concurrent programs are difficult to test due to their inherent non-dete...
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09/15/2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Model compression is significant for the wide adoption of Recurrent Neur...
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05/22/2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
High network communication cost for synchronizing gradients and paramete...
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03/28/2017
Coordinating Filters for Faster Deep Neural Networks
Very large-scale Deep Neural Networks (DNNs) have achieved remarkable su...
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03/12/2017
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
Recently, DNN model compression based on network architecture design, e....
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02/11/2017
Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks
Synapse crossbar is an elementary structure in Neuromorphic Computing Sy...
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01/07/2017
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses
Brain inspired neuromorphic computing has demonstrated remarkable advant...
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08/12/2016
Learning Structured Sparsity in Deep Neural Networks
High demand for computation resources severely hinders deployment of lar...
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08/04/2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Phenomenally successful in practical inference problems, convolutional n...
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04/03/2016