jianzhu Goto Github PK
Name: steve
Type: User
Location: Beijing, China
Name: steve
Type: User
Location: Beijing, China
Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018
This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
DeepWalk - Deep Learning for Graphs
code of our WWW 2022 paper Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction
Adaptive Denoising Training (ADT) for Recommendation.
ACL'2021: Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
Disentagnled Graph Collaborative Filtering, SIGIR2020
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Deep Gaussian Processes with Doubly Stochastic Variational Inference
MATLAB code for MAP inference for customized DPP via MIPS (AISTATS 2020)
Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
The score code of FastBERT (ACL2020)
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
code for ‘Towards Long-term Fairness in Recommendation’
[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
More interactive weak supervision with FlyingSquid
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.