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Name: DCwang

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DCwang's Projects

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

awesome-incremental-learning

Awesome Incremental Learning

awesome-malware-analysis

A curated list of awesome malware analysis tools and resources.

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

bioentity2vec

Code and data for Bioentity2vec

bort

Repository for the paper "Optimal Subarchitecture Extraction for BERT"

cbam-keras

CBAM implementation on Keras

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

cnn-online-incremental-learning

a method for incremental leraning with large no labeled data

conceptdriftgenerator

Generator for classification with concept drift

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deepwf

DeepWF: Reinforced Website Fingerprinting Attack through Deep Representation Learning

delta

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

den

Lifelong Learning with Dynamically Expandable Networks

dilf

Framework for Incremental Learning in Deep Learning using TensorFlow

dlwf

Source code for our NDSS'18 paper "Automated Website Fingerprinting through Deep Learning"

domain_adaptation

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.