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04/21/2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning
Meta-learning performs adaptation through a limited amount of support se...
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09/25/2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
Identity-invariant facial expression recognition (FER) has been one of t...
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06/09/2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
For a long time, anomaly localization has been widely used in industries...
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03/05/2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
Conventional NAS-based pruning algorithms aim to find the sub-network wi...
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12/27/2021
Vision Transformer for Small-Size Datasets
Recently, the Vision Transformer (ViT), which applied the transformer st...
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10/20/2021
Contextual Gradient Scaling for Few-Shot Learning
Model-agnostic meta-learning (MAML) is a well-known optimization-based m...
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04/28/2021
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
Knowledge distillation (KD) is one of the most useful techniques for lig...
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08/29/2019
Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
One of the ways to improve the performance of a target task is to learn ...
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07/04/2019
Graph-based Knowledge Distillation by Multi-head Attention Network
Knowledge distillation (KD) is a technique to derive optimal performance...
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07/04/2019
Graph-based Knowledge Distillation by Multi-head Self-attention Network
Knowledge distillation (KD) is a technique to derive optimal performance...
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07/18/2018
