Stanford CS 224N | Office Hours

Office Hours

Attending OHs: Chris Manning's OH's should be booked through Calendly. TA office hours are offered both remotely through Zoom and in-person at the same time.
Time and location: are listed in the calendar at the bottom of this page. Click "more details" to see the Zoom link (remote) or room location (in-person).
Staff information: Each staff member's schedule and areas of expertise are listed in the staff information section below.

Staff information

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: ML = machine learning, LM = language modeling, RL = reinforcement learning, CV = computer vision.

Day	Staff
Mon	Chris Manning Most areas of NLP. Less good on GANs and RL.
Mon	Gaurab Banerjee Vision transformers, speech/audio, pretraining	Angelica Sun NLP, deep learning	Lucia Zheng NLP, knowledge, LMs for law	Vincent Li NLP, knowledge, multi-modal
Tue	Kendrick Shen Representation learning	Allan Zhou RL, meta-learning	Kamil Ali CV, AI for healthcare	Yian Zhang Pretraining, probing, evaluation, syntax
Wed	Eric Mitchell Meta-learning, NLP, continual learning, knowledge editing in LM	Ethan A. Chi Speech recognition, dialogue systems, interpretability, reasoning	Manan Rai NLP, Speech, CV	Kathy Yu ML for health
Thu	Michihiro Yasunaga NLP, knowledge	Ben Newman NLP, evaluation, compositionality, knowledge	Kaili Huang NLP, dialogue systems	Fenglu Hong Generative models	Anna Goldie LM, representation learning, NLP theory, neural net analysis
Fri	Grace Lam LM, ML for healthcare	Sarthak Kanodia NLP, CV, data mining, AI for climate change	Christopher Wolff	Elaine Sui ML for healthcare

CS224n: Natural Language Processing with Deep Learning

Stanford / Winter 2022

Office Hours

Staff information