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06/08/2023
Magnitude Attention-based Dynamic Pruning
Existing pruning methods utilize the importance of each weight based on ...
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06/28/2022
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design
This technical report describes the details of our TASK1A submission of ...
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06/24/2022
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification
While using two-dimensional convolutional neural networks (2D-CNNs) in i...
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03/03/2022
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
Word-level adversarial attacks have shown success in NLP models, drastic...
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11/25/2021
Self-Distilled Self-Supervised Representation Learning
State-of-the-art frameworks in self-supervised learning have recently sh...
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11/12/2021
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
It is a practical research topic how to deal with multi-device audio inp...
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09/10/2021
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
With the growth of deep neural networks (DNN), the number of DNN paramet...
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06/25/2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
As edge devices become prevalent, deploying Deep Neural Networks (DNN) o...
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03/25/2021
Prototype-based Personalized Pruning
Nowadays, as edge devices such as smartphones become prevalent, there ar...
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05/22/2020
Position-based Scaled Gradient for Model Quantization and Sparse Training
We propose the position-based scaled gradient (PSG) that scales the grad...
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02/05/2020
Feature-map-level Online Adversarial Knowledge Distillation
Feature maps contain rich information about image intensity and spatial ...
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11/28/2019
QKD: Quantization-aware Knowledge Distillation
Quantization and Knowledge distillation (KD) methods are widely used to ...
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04/19/2019
Feature Fusion for Online Mutual Knowledge Distillation
We propose a learning framework named Feature Fusion Learning (FFL) that...
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09/07/2018
HC-Net: Memory-based Incremental Dual-Network System for Continual learning
Training a neural network for a classification task typically assumes th...
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07/09/2018
Generating objects going well with the surroundings
Since the generative adversarial network has made a breakthrough in the ...
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02/14/2018
