dongkuanx27

AdaNN

Adaptive Neural Network for Node Classification in Dynamic Networks (ICDM'19)

BERT-related-papers

BERT-related papers

Deep-Co-Clustering

Deep Co-Clustering (SDM'19)

DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

MCDA

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection (SDM'21)

ReWOO

Decoupling Reasoning from Observations for Efficient Augmented Language Models

SparseBERT

(SparseBERT) Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm (NAACL'21)

STAR

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)

TRRN

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling (AAAI'21)

autodistil

dongkuanx27/DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

dongkuanx27/STAR

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)

dongkuanx27/Deep-Co-Clustering

Deep Co-Clustering (SDM'19)

dongkuanx27/SparseBERT

(SparseBERT) Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm (NAACL'21)

dongkuanx27/MCDA

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection (SDM'21)

dongkuanx27/TRRN

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling (AAAI'21)

dongkuanx27/BERT-related-papers

BERT-related papers

dongkuanx27/byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

dongkuanx27/DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

dongkuanx27/ReWOO

Decoupling Reasoning from Observations for Efficient Augmented Language Models

dongkuanx27/ADED

Adaptive Draft-Verification for Efficient Large Language Model Decoding

dongkuanx27/archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

dongkuanx27/AttentiveNAS

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

dongkuanx27/CLTC_SL

Cross-lingual Text Classification with Self-Learning

dongkuanx27/data-centric-ai

Resources for Data Centric AI

dongkuanx27/data-science-interviews

Data science interview questions and answers

dongkuanx27/distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dongkuanx27/dongkuanx27.github.io

dongkuanx27/dynamic-KG

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

dongkuanx27/I-BERT

I-BERT: Integer-only BERT Quantization

dongkuanx27/MT-RMN

Multi-Task Recurrent Modular Networks (AAAI'21)

dongkuanx27/mvgrl

dongkuanx27/nlpaug

Data augmentation for NLP

dongkuanx27/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

dongkuanx27/PruningToolsV2

dongkuanx27/PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

dongkuanx27/slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

dongkuanx27/Talks

dongkuanx27/torchquantum

A PyTorch-based framework for Quantum Simulation, with support for easy deployments on real quantum computers.

dongkuanx27/wmg_agent

WMG agent