howardhsu
interested in Meta-Learning, Lifelong learning, self-supervised learning.
Facebook AI ResearchSeattle, WA
Pinned Repositories
ABSA-on-Complementary-Entity-for-QA-and-Review
Complementary Entity Recognition
ABSA_preprocessing
A simple library to preprocess ABSA related tasks from SemEval
Amazon-Review-Embedding
Pre-trained Amazon Reviews Embeddings
ASC_failure
code for the paper about the failure of ASC
BERT-for-RRC-ABSA
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
DE-CNN
Code for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction"
Dissertation
My Ph.D. dissertation, with source latex in github, wow.
L-DEM
code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"
Meta-Open-World-Learning
code for our WWW 2019 paper: "Open-world Learning and Application to Product Classification"
RCRC
code for our paper "Review Conversational Reading Comprehension"
howardhsu's Repositories
howardhsu/BERT-for-RRC-ABSA
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
howardhsu/DE-CNN
Code for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction"
howardhsu/Meta-Open-World-Learning
code for our WWW 2019 paper: "Open-world Learning and Application to Product Classification"
howardhsu/ABSA_preprocessing
A simple library to preprocess ABSA related tasks from SemEval
howardhsu/L-DEM
code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"
howardhsu/ASC_failure
code for the paper about the failure of ASC
howardhsu/Amazon-Review-Embedding
Pre-trained Amazon Reviews Embeddings
howardhsu/RCRC
code for our paper "Review Conversational Reading Comprehension"
howardhsu/ABSA-on-Complementary-Entity-for-QA-and-Review
Complementary Entity Recognition
howardhsu/Dissertation
My Ph.D. dissertation, with source latex in github, wow.
howardhsu/article
My Research Articles: visit from https://howardhsu.github.io/article/
howardhsu/Adv360-Pro-ZMK
Production repository for the all-new Advantage360 Professional using ZMK engine
howardhsu/CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
howardhsu/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
howardhsu/howardhsu.github.io
Mirror of Homepage: https://howardhsu.github.io
howardhsu/howto100m
Code for the HowTo100M paper
howardhsu/LocalizingMoments
Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"
howardhsu/MIL-NCE_HowTo100M
PyTorch GPU distributed training code for MIL-NCE HowTo100M
howardhsu/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
howardhsu/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
howardhsu/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
howardhsu/TVQA
[EMNLP 2018] PyTorch code for TVQA: Localized, Compositional Video Question Answering
howardhsu/vilbert-multi-task
Multi Task Vision and Language