b'Dacheng Tao'

Progressive Multi-Granularity Training for Non-Autoregressive Translation

Non-autoregressive translation (NAT) significantly accelerates the infer...
06/10/2021 ∙ by Liang Ding, et al. ∙ 0 ∙ share

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The dilemma of quantum neural networks

The core of quantum machine learning is to devise quantum models with go...
06/09/2021 ∙ by Yang Qian, et al. ∙ 0 ∙ share

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Commutative Lie Group VAE for Disentanglement Learning

We view disentanglement learning as discovering an underlying structure ...
06/07/2021 ∙ by Xinqi Zhu, et al. ∙ 0 ∙ share

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ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias

Transformers have shown great potential in various computer vision tasks...
06/07/2021 ∙ by Yufei Xu, et al. ∙ 12 ∙ share

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A Comprehensive Survey on Image Dehazing Based on Deep Learning

The presence of haze significantly reduces the quality of images. Resear...
06/07/2021 ∙ by Jie Gui, et al. ∙ 10 ∙ share

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Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss

Chronological age of healthy people is able to be predicted accurately u...
06/06/2021 ∙ by Jian Cheng, et al. ∙ 12 ∙ share

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Patch Slimming for Efficient Vision Transformers

This paper studies the efficiency problem for visual transformers by exc...
06/05/2021 ∙ by Yehui Tang, et al. ∙ 0 ∙ share

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Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation

Knowledge distillation (KD) is commonly used to construct synthetic data...
06/02/2021 ∙ by Liang Ding, et al. ∙ 0 ∙ share

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End-to-end One-shot Human Parsing

Previous human parsing models are limited to parsing humans into pre-def...
05/04/2021 ∙ by Haoyu He, et al. ∙ 0 ∙ share

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Privacy-Preserving Portrait Matting

Recently, there has been an increasing concern about the privacy issue r...
04/29/2021 ∙ by Jizhizi Li, et al. ∙ 0 ∙ share

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Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding

Spoken language understanding (SLU) system usually consists of various p...
04/13/2021 ∙ by Di Wu, et al. ∙ 0 ∙ share

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Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection

Modern human-object interaction (HOI) detection approaches can be divide...
04/12/2021 ∙ by Xubin Zhong, et al. ∙ 0 ∙ share

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MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data

Mild cognitive impairment (MCI) conversion prediction, i.e., identifying...
04/08/2021 ∙ by Hao Guan, et al. ∙ 0 ∙ share

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Where and What? Examining Interpretable Disentangled Representations

Capturing interpretable variations has long been one of the goals in dis...
04/07/2021 ∙ by Xinqi Zhu, et al. ∙ 0 ∙ share

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Affordance Transfer Learning for Human-Object Interaction Detection

Reasoning the human-object interactions (HOI) is essential for deeper sc...
04/07/2021 ∙ by Zhi Hou, et al. ∙ 1 ∙ share

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Online Multiple Object Tracking with Cross-Task Synergy

Modern online multiple object tracking (MOT) methods usually focus on tw...
04/01/2021 ∙ by Song Guo, et al. ∙ 0 ∙ share

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Towards understanding the power of quantum kernels in the NISQ era

A key problem in the field of quantum computing is understanding whether...
03/31/2021 ∙ by Xinbiao Wang, et al. ∙ 0 ∙ share

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Detecting Human-Object Interaction via Fabricated Compositional Learning

Human-Object Interaction (HOI) detection, inferring the relationships be...
03/15/2021 ∙ by Zhi Hou, et al. ∙ 0 ∙ share

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Manifold Regularized Dynamic Network Pruning

Neural network pruning is an essential approach for reducing the computa...
03/10/2021 ∙ by Yehui Tang, et al. ∙ 0 ∙ share

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Learning Compositional Representation for Few-shot Visual Question Answering

Current methods of Visual Question Answering perform well on the answers...
02/21/2021 ∙ by Dalu Guo, et al. ∙ 4 ∙ share

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CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation

Nucleus segmentation is a challenging task due to the crowded distributi...
02/13/2021 ∙ by Shengcong Chen, et al. ∙ 0 ∙ share

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SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning

Word alignment is essential for the down-streaming cross-lingual languag...
02/08/2021 ∙ by Di Wu, et al. ∙ 0 ∙ share

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AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence

Convolutional neural networks (CNN) have been widely used for boosting t...
01/25/2021 ∙ by Yunhe Wang, et al. ∙ 35 ∙ share

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Collaborative Teacher-Student Learning via Multiple Knowledge Transfer

Knowledge distillation (KD), as an efficient and effective model compres...
01/21/2021 ∙ by Liyuan Sun, et al. ∙ 4 ∙ share

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CAA : Channelized Axial Attention for Semantic Segmentation

Self-attention and channel attention, modelling the semantic interdepend...
01/19/2021 ∙ by Ye Huang, et al. ∙ 0 ∙ share

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Bayesian Inference Forgetting

The right to be forgotten has been legislated in many countries but the ...
01/16/2021 ∙ by Shaopeng Fu, et al. ∙ 0 ∙ share

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Neural networks behave as hash encoders: An empirical study

The input space of a neural network with ReLU-like activations is partit...
01/14/2021 ∙ by Fengxiang He, et al. ∙ 20 ∙ share

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SPAGAN: Shortest Path Graph Attention Network

Graph convolutional networks (GCN) have recently demonstrated their pote...
01/10/2021 ∙ by Yiding Yang, et al. ∙ 0 ∙ share

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Understanding and Improving Lexical Choice in Non-Autoregressive Translation

Knowledge distillation (KD) is essential for training non-autoregressive...
12/29/2020 ∙ by Liang Ding, et al. ∙ 0 ∙ share

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Robustness, Privacy, and Generalization of Adversarial Training

Adversarial training can considerably robustify deep neural networks to ...
12/25/2020 ∙ by Fengxiang He, et al. ∙ 0 ∙ share

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Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

Unsupervised cross-modal hashing (UCMH) has become a hot topic recently....
12/25/2020 ∙ by Jun Yu, et al. ∙ 0 ∙ share

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A Survey on Visual Transformer

Transformer is a type of deep neural network mainly based on self-attent...
12/23/2020 ∙ by Kai Han, et al. ∙ 0 ∙ share

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Progressive One-shot Human Parsing

Prior human parsing models are limited to parsing humans into classes pr...
12/22/2020 ∙ by Haoyu He, et al. ∙ 0 ∙ share

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Recent advances in deep learning theory

Deep learning is usually described as an experiment-driven field under c...
12/20/2020 ∙ by Fengxiang He, et al. ∙ 0 ∙ share

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SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

Data mixing augmentation has proved effective in training deep models. R...
12/09/2020 ∙ by Shaoli Huang, et al. ∙ 0 ∙ share

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Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization

There is now extensive evidence demonstrating that deep neural networks ...
12/03/2020 ∙ by Aishan Liu, et al. ∙ 0 ∙ share

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Fast Class-wise Updating for Online Hashing

Online image hashing has received increasing research attention recently...
12/01/2020 ∙ by Mingbao Lin, et al. ∙ 0 ∙ share

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SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses

Deep learning has demonstrated its power in image rectification by lever...
11/30/2020 ∙ by Jinlong Fan, et al. ∙ 5 ∙ share

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DUT: Learning Video Stabilization by Simply Watching Unstable Videos

We propose a Deep Unsupervised Trajectory-based stabilization framework ...
11/30/2020 ∙ by Yufei Xu, et al. ∙ 0 ∙ share

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Inter-layer Transition in Neural Architecture Search

Differential Neural Architecture Search (NAS) methods represent the netw...
11/30/2020 ∙ by Benteng Ma, et al. ∙ 0 ∙ share

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Recent Progress in Appearance-based Action Recognition

Action recognition, which is formulated as a task to identify various hu...
11/25/2020 ∙ by Jack Humphreys, et al. ∙ 3 ∙ share

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Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

In the Internet of Things (IoT) era, billions of sensors and devices col...
11/17/2020 ∙ by Jing Zhang, et al. ∙ 41 ∙ share

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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting

Deep learning is often criticized by two serious issues which rarely exi...
11/12/2020 ∙ by Zeke Xie, et al. ∙ 1 ∙ share

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Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model

Home-cage social behaviour analysis of mice is an invaluable tool to ass...
11/04/2020 ∙ by Zheheng Jiang, et al. ∙ 0 ∙ share

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Context-Aware Cross-Attention for Non-Autoregressive Translation

Non-autoregressive translation (NAT) significantly accelerates the infer...
11/02/2020 ∙ by Liang Ding, et al. ∙ 0 ∙ share

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End-to-end Animal Image Matting

Extracting accurate foreground animals from natural animal images benefi...
10/30/2020 ∙ by Jizhizi Li, et al. ∙ 0 ∙ share

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Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning

Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D ...
10/23/2020 ∙ by Huan Fu, et al. ∙ 0 ∙ share

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SCOP: Scientific Control for Reliable Neural Network Pruning

This paper proposes a reliable neural network pruning algorithm by setti...
10/21/2020 ∙ by Yehui Tang, et al. ∙ 0 ∙ share

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Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

Quantum error mitigation techniques are at the heart of quantum computat...
10/20/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration

Imitation learning from observation (LfO) is more preferable than imitat...
10/16/2020 ∙ by Zhihao Cheng, et al. ∙ 0 ∙ share

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Dacheng Tao

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