QingkaiZeng's Stars
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
jm199504/Financial-Knowledge-Graphs
小型金融知识图谱构建流程(neo4j / python / cypher / KG)
NVlabs/NVAE
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
styfeng/DataAug4NLP
Collection of papers and resources for data augmentation for NLP.
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
princeton-nlp/DensePhrases
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
ucinlp/autoprompt
AutoPrompt: Automatic Prompt Construction for Masked Language Models.
facebookresearch/FiD
Fusion-in-Decoder
songhwanjun/Awesome-Noisy-Labels
A Survey
allenai/dont-stop-pretraining
Code associated with the Don't Stop Pretraining ACL 2020 paper
allenai/specter
SPECTER: Document-level Representation Learning using Citation-informed Transformers
jiangqn/Aspect-Based-Sentiment-Analysis
A paper list for aspect based sentiment analysis.
k-han/AutoNovel
"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)
sgvaze/generalized-category-discovery
Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/
bcmi/Awesome-Weak-Shot-Learning
A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
JieyuZ2/Awesome-Weak-Supervision
A curated list of programmatic weak supervision papers and resources
alibaba/Curvature-Learning-Framework
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
jeniyat/StackOverflowNER
Source Code and Data for Software Domain NER
zjunlp/DART
[ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
drewwilimitis/hyperbolic-learning
Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
clovaai/FocusSeq2Seq
[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)
JunhengH/joie-kdd19
Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.
rpryzant/causal-bert-pytorch
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
yumeng5/RoSTER
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
Planteome/plant-ontology
Repository for the Plant Ontology
chullhwan-song/Neural-Ranking-Study
sheryc/HEF
Code and data for HEF, published in The Web Conference 2021.
liu-zichen/TEMP
zequnl/Graphex
The implementation of the EMNLP 2021 paper "Graphine: A Dataset for Graph-aware Terminology Definition Generation"