- Cognitive
- Optimization
- Reinforcement Learning
- Vision
- Natural Language Processing
- (2014. 9) Bahdanau Attention
- (2015. 11) Diversity Conversation
- (2015. 11) Multi Task Seq2seq
- (2015. 12) Byte To Span
- (2015. 12) Vocabulary Strategy
- (2015. 6) Skip Thought
- (2015. 6) Teaching Machine Read And Comprehend
- (2015. 8) Luong Attention
- (2015. 8) Subword NMT
- (2016. 10) Bytenet
- (2016. 10) Diverse Beam Search
- (2016. 10) Fully Conv NMT
- (2016. 11) Bidaf
- (2016. 11) Dual Learning NMT
- (2016. 11) Generate Wiki
- (2016. 11) NMT With Reconstruction
- (2016. 2) Exploring Limits Of Lm
- (2016. 3) Copynet
- (2016. 4) NMT Hybrid Word And Char
- (2016. 5) Adversarial For Semi Supervised Text Classification
- (2016. 6) Sequence Knowledge Distillation
- (2016. 6) Squad
- (2016. 7) Actor Critic For Seq
- (2016. 7) Attn Over Attn NN RC
- (2016. 9) PS LSTM
- (2017. 10) Multi Paragraph RC
- (2017. 11) Neural Text Generation
- (2017. 12) Contextualized Word For RC
- (2017. 3) Self Attn Sentence Embed
- (2017. 6) Slicenet
- (2017. 6) Transformer
- (2017. 7) Text Sum Survey
- (2018. 1) Mask Gan
- (2018. 2) Qanet
- (2018. 5) Minimal Qa
- Generative
- Model