jianzhu Goto Github PK

compositional_code_learning

Reproduce the results of paper "Compressing Word Embeddings via Deep Compositional Code Learning" accepted ICLR 2018

cosine

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).

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deepwalk

DeepWalk - Deep Learning for Graphs

defer

defuse

code of our WWW 2022 paper Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction

denoisingrec

Adaptive Denoising Training (ADT) for Recommendation.

densephrases

ACL'2021: Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too

deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

dl-notes

dl-rerank

dmin

doubly-stochastic-dgp

Deep Gaussian Processes with Doubly Stochastic Variational Inference

dppmapmips

MATLAB code for MAP inference for customized DPP via MIPS (AISTATS 2020)

dropoutnet

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

dual

dual-bandit-kdd-2020

Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

eeuen

code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"

esam

Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)

exact-k-recommendation

fastbert

The score code of FastBERT (ACL2020)

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fcpo

code for ‘Towards Long-term Fairness in Recommendation’

featgraph

fi_gnn

[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

flyingsquid

More interactive weak supervision with FlyingSquid

free_adv_train

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.