Must-read papers on improving efficiency for pre-trained language models
Few-shot Visual Relationship Co-localization in python
The FinQA dataset from paper: FinQA: A Dataset of Numerical Reasoning over Financial Data
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation
Self-Supervised Graph Co-Training for Session-based Recommendation
This code is for the paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration".Accepted by ICCV21.
Tracking the latest progress in Scene Text Detection and Recognition: must-read papers well organized
This codebase contains source-code of the Python-based implementation of our CIKM 2021 paper.
The papers published in top-tier AI conferences in recent years.