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06/27/2023
Verifying Safety of Neural Networks from Topological Perspectives
Neural networks (NNs) are increasingly applied in safety-critical system...
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05/11/2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Classifier-free guidance is an effective sampling technique in diffusion...
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05/05/2023
Repairing Deep Neural Networks Based on Behavior Imitation
The increasing use of deep neural networks (DNNs) in safety-critical sys...
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03/23/2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
The advent of open-source AI communities has produced a cornucopia of po...
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12/02/2022
Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory
Credit assignment problem of neural networks refers to evaluating the cr...
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10/09/2022
Safety Verification for Neural Networks Based on Set-boundary Analysis
Neural networks (NNs) are increasingly applied in safety-critical system...
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09/20/2022
GANet: Goal Area Network for Motion Forecasting
Predicting the future motion of road participants is crucial for autonom...
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06/11/2022
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation
The goal of model compression is to reduce the size of a large neural ne...
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06/07/2022
Recent Advances for Quantum Neural Networks in Generative Learning
Quantum computers are next-generation devices that hold promise to perfo...
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09/01/2021
A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting
Keyword spotting (KWS) on mobile devices generally requires a small memo...
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08/27/2021
Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting
Keyword spotting (KWS) on mobile devices generally requires a small memo...
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06/11/2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
In few-shot domain adaptation (FDA), classifiers for the target domain a...
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06/05/2021
Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication
Nowadays, there is a strong need to deploy the target speaker separation...
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04/19/2021
Conditional Variational Capsule Network for Open Set Recognition
In open set recognition, a classifier has to detect unknown classes that...
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02/08/2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
In learning to discover novel classes(L2DNC), we are given labeled data ...
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01/22/2021
Network Clustering for Multi-task Learning
The Multi-Task Learning (MTL) technique has been widely studied by word-...
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05/14/2020
Deep Hierarchical Classification for Category Prediction in E-commerce System
In e-commerce system, category prediction is to automatically predict ca...
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11/25/2018
