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04/16/2023
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Cross-modal distillation has been widely used to transfer knowledge acro...
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04/01/2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
Random label noises (or observational noises) widely exist in practical ...
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01/05/2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
Long-term time-series forecasting (LTTF) has become a pressing demand in...
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12/20/2022
Temporal Output Discrepancy for Loss Estimation-based Active Learning
While deep learning succeeds in a wide range of tasks, it highly depends...
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11/29/2022
ExpNet: A unified network for Expert-Level Classification
Different from the general visual classification, some classification ta...
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10/20/2022
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning
Interactive image segmentation aims at segmenting a target region throug...
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07/04/2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
While fine-tuning pre-trained networks has become a popular way to train...
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07/04/2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Pool-based Active Learning (AL) has achieved great success in minimizing...
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06/02/2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
To understand human behaviors, action recognition based on videos is a c...
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05/20/2022
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System
With the increasing diversity of ML infrastructures nowadays, distribute...
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03/25/2022
A Comparative Survey of Deep Active Learning
Active Learning (AL) is a set of techniques for reducing labeling cost b...
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12/15/2021
Data Placement for Multi-Tenant Data Federation on the Cloud
Due to privacy concerns of users and law enforcement in data security an...
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12/14/2021
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset
As the COVID-19 pandemic rampages across the world, the demands of video...
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10/24/2021
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing
The operation and management of intelligent transportation systems (ITS)...
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10/07/2021
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow
Principal component analysis (PCA) has been widely used as an effective ...
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10/06/2021
Exploring the Common Principal Subspace of Deep Features in Neural Networks
We find that different Deep Neural Networks (DNNs) trained with the same...
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09/21/2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Contrastive learning has been widely applied to graph representation lea...
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09/08/2021
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization
While artificial neural networks (ANNs) have been widely adopted in mach...
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09/02/2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
Existing interpretation algorithms have found that, even deep models mak...
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07/29/2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
While deep learning succeeds in a wide range of tasks, it highly depends...
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07/21/2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Drug discovery often relies on the successful prediction of protein-liga...
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07/19/2021
Face.evoLVe: A High-Performance Face Recognition Library
In this paper, we develop face.evoLVe – a comprehensive library that col...
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07/02/2021
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Mobile Sensing Apps have been widely used as a practical approach to col...
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06/25/2021
Robust Matrix Factorization with Grouping Effect
Although many techniques have been applied to matrix factorization (MF),...
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06/03/2021
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
In modern internet industries, deep learning based recommender systems h...
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04/29/2021
From Distributed Machine Learning to Federated Learning: A Survey
In recent years, data and computing resources are typically distributed ...
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03/25/2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
To improve the performance of deep learning, mixup has been proposed to ...
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03/19/2021
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond
Deep neural networks have been well-known for their superb performance i...
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12/22/2020
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
The novel coronavirus disease (COVID-19) has crushed daily routines and ...
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12/17/2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
Accurately predicting the binding affinity between drugs and proteins is...
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10/16/2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
Fine-tuning deep neural networks pre-trained on large scale datasets is ...
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07/20/2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup
Transferring knowledge from large source datasets is an effective way to...
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07/07/2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Fine-tuning the deep convolution neural network(CNN) using a pre-trained...
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04/26/2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
Softening labels of training datasets with respect to data representatio...
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03/17/2020
Parameter-Free Style Projection for Arbitrary Style Transfer
Arbitrary image style transfer is a challenging task which aims to styli...
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01/26/2020
Curriculum Audiovisual Learning
Associating sound and its producer in complex audiovisual scene is a cha...
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12/05/2019
Ultrafast Photorealistic Style Transfer via Neural Architecture Search
The key challenge in photorealistic style transfer is that an algorithm ...
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11/27/2019
SecureGBM: Secure Multi-Party Gradient Boosting
Federated machine learning systems have been widely used to facilitate t...
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11/18/2019
Towards Making Deep Transfer Learning Never Hurt
Transfer learning have been frequently used to improve deep neural netwo...
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07/06/2019
Fast Universal Style Transfer for Artistic and Photorealistic Rendering
Universal style transfer is an image editing task that renders an input ...
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06/18/2019
The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation
The randomness in Stochastic Gradient Descent (SGD) is considered to pla...
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06/06/2019
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks
Neural Architecture Search (NAS) has been widely studied for designing d...
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01/26/2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Transfer learning through fine-tuning a pre-trained neural network with ...
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01/18/2019
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent
We interpret the variational inference of the Stochastic Gradient Descen...
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05/22/2018
