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05/31/2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Graph Neural Networks (GNNs) have emerged as a powerful category of lear...
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04/19/2023
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
Style transfer aims to render the style of a given image for style refer...
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03/19/2023
Partial Network Cloning
In this paper, we study a novel task that enables partial knowledge tran...
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10/30/2022
Dataset Distillation via Factorization
In this paper, we study \xw{dataset distillation (DD)}, from a novel per...
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09/07/2022
A Survey of Neural Trees
Neural networks (NNs) and decision trees (DTs) are both popular models o...
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07/17/2022
Learning with Recoverable Forgetting
Life-long learning aims at learning a sequence of tasks without forgetti...
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07/13/2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
One key challenge of exemplar-guided image generation lies in establishi...
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07/04/2022
Factorizing Knowledge in Neural Networks
In this paper, we explore a novel and ambitious knowledge-transfer task,...
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05/05/2022
Spot-adaptive Knowledge Distillation
Knowledge distillation (KD) has become a well established paradigm for c...
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12/05/2021
Safe Distillation Box
Knowledge distillation (KD) has recently emerged as a powerful strategy ...
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08/04/2021
Online Knowledge Distillation for Efficient Pose Estimation
Existing state-of-the-art human pose estimation methods require heavy co...
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03/20/2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Recent advances in deep learning have provided procedures for learning o...
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03/17/2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Exploring the intrinsic interconnections between the knowledge encoded i...
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05/28/2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
Many well-trained Convolutional Neural Network(CNN) models have now been...
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04/23/2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
In this paper, we investigate a novel deep-model reusing task. Our goal ...
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05/11/2017
