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06/12/2023
Sticker820K: Empowering Interactive Retrieval with Stickers
Stickers have become a ubiquitous part of modern-day communication, conv...
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05/20/2023
What Makes for Good Visual Tokenizers for Large Language Models?
We empirically investigate proper pre-training methods to build good vis...
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03/01/2023
ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization
The rise of hate speech on online platforms has led to an urgent need fo...
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01/20/2023
Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse
With the growth of online news over the past decade, empirical studies o...
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05/30/2022
Re-parameterizing Your Optimizers rather than Architectures
The well-designed structures in neural networks reflect the prior knowle...
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03/13/2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
We revisit large kernel design in modern convolutional neural networks (...
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01/10/2022
A Likelihood Ratio based Domain Adaptation Method for E2E Models
End-to-end (E2E) automatic speech recognition models like Recurrent Neur...
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12/21/2021
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
Compared to convolutional layers, fully-connected (FC) layers are better...
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07/30/2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
The existence of redundancy in Convolutional Neural Networks (CNNs) enab...
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05/05/2021
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
We propose RepMLP, a multi-layer-perceptron-style neural network buildin...
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03/24/2021
Diverse Branch Block: Building a Convolution as an Inception-like Unit
We propose a universal building block of Convolutional Neural Network (C...
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01/11/2021
RepVGG: Making VGG-style ConvNets Great Again
We present a simple but powerful architecture of convolutional neural ne...
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07/07/2020
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization
Channel pruning (a.k.a. filter pruning) aims to slim down a convolutiona...
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09/27/2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Deep Neural Network (DNN) is powerful but computationally expensive and ...
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08/11/2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
As designing appropriate Convolutional Neural Network (CNN) architecture...
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05/12/2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
It is not easy to design and run Convolutional Neural Networks (CNNs) du...
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04/08/2019