Pinned Repositories
2021-SIGIR-plackett-luce
aio2-soseki-baseline
Baseline QA system for AIO2 competition utilizing BPR (binary passage retrieval)
AIO2_DPR_baseline
https://www.nlp.ecei.tohoku.ac.jp/projects/aio/
arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
cskg
CSKG: The CommonSense Knowledge Graph
CultureBank
czsc
缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易
deep-image-retrieval
End-to-end learning of deep visual representations for image retrieval
ii-research-yu's Repositories
ii-research-yu/splade
ii-research-yu/2021-SIGIR-plackett-luce
ii-research-yu/JPQ
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval. It compresses the index by 30x and provides 10x speedup on CPU and 2x speedup on GPU with negligible performance loss.
ii-research-yu/DRhard
Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).
ii-research-yu/fairlearn
A Python package to assess and improve fairness of machine learning models.
ii-research-yu/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
ii-research-yu/ULTRA_pytorch
Unbiased Learning To Rank Algorithms (ULTRA)
ii-research-yu/fpdgd-ictir2021
Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank
ii-research-yu/LTR_SummerSchool
Project files, etc.
ii-research-yu/deepdow
Portfolio optimization with deep learning.
ii-research-yu/docs
TensorFlow documentation
ii-research-yu/pygaggle
a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
ii-research-yu/ilm
Easily fine tune GPT-2 to fill in missing text
ii-research-yu/deep-image-retrieval
End-to-end learning of deep visual representations for image retrieval
ii-research-yu/fultr
final code for fultr
ii-research-yu/GENRE
Autoregressive Entity Retrieval
ii-research-yu/TREC-Deep-Learning-Quick-Start
ii-research-yu/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
ii-research-yu/ptranking.github.io
Learning to Rank in PyTorch
ii-research-yu/google-research
Google Research
ii-research-yu/Revisiting_Deep_Metric_Learning_PyTorch
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in this field.
ii-research-yu/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
ii-research-yu/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
ii-research-yu/GrowNet
ii-research-yu/Fair-PGRank
Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019
ii-research-yu/OpenNE
An Open-Source Package for Network Embedding (NE)
ii-research-yu/text-to-image
Generative Adversarial Text to Image Synthesis / Please Star -->