Seunghyun Lee's Projects
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
This project solves a problem of ZSKT in neurips2019
Minjae's Blog
Implementation of Autoslim using Tensorflow2
Awesome Knowledge Distillation
:bread: Template used on CloudCannon Academy screencasts
Colvolutional neural network implementation with Tensorflow2.0 low level API only
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
Metric Learning with Graph Convolutional Neural Networks
:zap: Dynamically generated stats for your github readmes
Google Colab tutorial with simple network training and Tensorboard.
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Implementation of "Interpretable embedding procedure knowledge transfer" on AAAI2021
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
This project attempts to build neural network training and lightweighting cookbook including three kinds of lightweighting solutions, i.e., knowledge distillation, filter pruning, and quantization.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
the presentation materials for Multi-head Graph Distillation ( BMVC2019 oral )
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Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation
95.16% on CIFAR10 with PyTorch
Pytorch implementation of RetinaNet object detection.