Pinned Repositories
Bayesian_RNN
The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"
ConvSent
The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
dpfa_icml2015
The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
dsbn_aistats2015
The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"
LXMERT-AdvTrain
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part
SCN_for_video_captioning
Using Semantic Compositional Networks for Video Captioning
Semantic_Compositional_Nets
The Theano code for the CVPR 2017 paper "Semantic Compositional Networks for Visual Captioning"
sentence_classification
sentence classification using CNN/LSTM/GRU
TSBN_code_NIPS2015
The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"
VILLA
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
zhegan27's Repositories
zhegan27/VILLA
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
zhegan27/SCN_for_video_captioning
Using Semantic Compositional Networks for Video Captioning
zhegan27/Semantic_Compositional_Nets
The Theano code for the CVPR 2017 paper "Semantic Compositional Networks for Visual Captioning"
zhegan27/sentence_classification
sentence classification using CNN/LSTM/GRU
zhegan27/TSBN_code_NIPS2015
The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"
zhegan27/ConvSent
The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
zhegan27/Bayesian_RNN
The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"
zhegan27/LXMERT-AdvTrain
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part
zhegan27/dpfa_icml2015
The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
zhegan27/dsbn_aistats2015
The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"
zhegan27/SBN_NVIL
Neural Variational Inference and Learning for Sigmoid Belief Network
zhegan27/Deep_Conflation_Model
The Theano code for the ICASSP 2017 paper "Character-level Deep Conflation for Business Data Analytics"
zhegan27/rnn_music
RNN training on the Polyphonic Music dataset
zhegan27/sta-663-project-zhe-gan
STA 663 Computational Statistics
zhegan27/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
zhegan27/STA663-2015
Course materials for STA663
zhegan27/zhegan27.github.io