These are the usual staff members who will be at each session, along with their areas of expertise (which may be useful for finding project advice).
Abbreviations: QA = question answering, DL = deep learning, LM = language modeling, RL = reinforcement learning.
| Day | Staff | |||||
|---|---|---|---|---|---|---|
| Mon | Chris Manning Most areas of NLP. Less good on GANs and RL. |
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| Mon | Chris Waites DL, Generative Modeling, Privacy, QA/Default Final Project |
Rui Wang RL, DL, Robotics |
Akshay Smit Biomedical applications of deep learning |
Angelica Sun LM, Meta Learning, Model Compression, QA/Default Final Project |
John Hewitt LM, Representation Learning, NLP theory, analysis of neural networks |
|
| Tue | Gita Krishna DL, QA/Default Final Project |
Megan Leszczynski Named entity disambiguation, systems for machine learning |
Mandy Lu QA/Default Final Project |
Yuyan Wang Natural language generation |
||
| Wed | Lauren Zhu DL, Machine Translation, QA/Default Final Project |
Anna Yang Medical Chatbots, HCI |
Alvin Hou Transfer Learning, QA/Default Final Project |
Andrew Wang Graph machine learning, NLP for computational social science |
||
| Thu | Rachel Gardner Vision + Language, BERT, noisy user text, Robotics |
Shikhar Murty Fast Adaptation, Compositionality, Commonsense |
Davide Giovanardi LM, Transfer Learning, Meta Learning |
Zihan Wang DL, Robotics, Meta Learning |
Prerna Khullar NLU, Emotion Recognition, QA/Default Final Project |
|
| Sat | Elissa Li DL for pragmatics/pragmatic inference |
Rui Yan Transfer Learning, Representation Learning |
Daniel Do Transformers, DL, QA/Default Final Project |
Dilara Soylu Dialogue |
Lingjue Xie DL, Search Engine, QA/Default Final Project |