nlp study
| Topic | Presentor | Date/Time | Location | File |
|---|---|---|---|---|
| Word Vectors 1 | 안세진 | 18.04.25 11:30 | T-Lounge G회의실 | word2_vec_안세진 |
| Word Vectors 2 | 홍석진 | 18.05.02 11:30 | T-Lounge G회의실 | GloVe_홍석진 |
| Neural Networks | 홍석진, 홍준의 | 18.05.09 11:30 | T-Lounge J회의실 | Neural_Networks_홍석진_홍준의 |
| Backpropagation and Project Advice | 송석민 | 18.05.16 12:00 | T-Lounge H | BackPropagation_송석민 |
| Dependency Parsing | 김영진 | 18.05.23 11:30 | T-Lounge G | Depandency_Parsing_김영진 |
| Recurrent Neural Networks and Language Models | 최혜민 | 18.05.30 11:30 | T-Lounge H | RNN_LM_최혜민 |
| Vanishing Gradients, Fancy RNNs | 최경아 | 18.06.07 12:00 | 31층 1회의실 | LSTM_최경아 |
| Machine Translation, Seq2Seq and Attention | 조수환 | 18.06.20 12:00 | T-Lounge G | MT_Seq2Seq_Attention_조수환 |
| Advanced Attention | 홍준의 | |||
| Transformer Networks and CNNs | 박정연 | |||
| Coreference Resolution | 지영미 | 18.07.18 | T-Lounge H | Coreference_지영미 |
| Tree Recursive Neural Networks and Constituency Parsing | 정다예 | |||
| Advanced Architectures and Memory Networks | 홍석진 | |||
| Reinforcement Learning for NLP Guest Lecture | 김지희 | |||
| Semi-supervised Learning for NLP | 최준근 | |||
| Future of NLP Models, Multi-task Learning and QA Systems |