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06/14/2023
POP: Prompt Of Prompts for Continual Learning
Continual learning (CL) has attracted increasing attention in the recent...
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03/30/2023
MobileInst: Video Instance Segmentation on the Mobile
Although recent approaches aiming for video instance segmentation have a...
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03/22/2023
Dense Network Expansion for Class Incremental Learning
The problem of class incremental learning (CIL) is considered. State-of-...
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09/27/2019
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks
It is expensive to compute residual diffusivity in chaotic in-compressib...
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09/12/2019
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
We study channel number reduction in combination with weight binarizatio...
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03/13/2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Training activation quantized neural networks involves minimizing a piec...
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01/24/2019
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
ShuffleNet is a state-of-the-art light weight convolutional neural netwo...
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11/07/2018
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition
We propose and study a new projection formula for training binary weight...
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08/15/2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Quantized deep neural networks (QDNNs) are attractive due to their much ...
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01/19/2018