Difference between revisions of "Winter 2021 CS291A Syllabus"
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** [https://arxiv.org/abs/1907.11692 RoBERTa: A Robustly Optimized BERT Pretraining Approach] | ** [https://arxiv.org/abs/1907.11692 RoBERTa: A Robustly Optimized BERT Pretraining Approach] | ||
** [https://arxiv.org/abs/1909.11942 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations] | ** [https://arxiv.org/abs/1909.11942 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations] | ||
− | *2/10 Mid-term project updates | + | *2/10 Mid-term project updates [https://forms.gle/XMKr1nNsJieUK4jD6 upload your slide here] by 2/9 noon |
*2/15 University Holiday: Presidents' Day | *2/15 University Holiday: Presidents' Day | ||
*2/17 Language and vision | *2/17 Language and vision |
Revision as of 19:27, 1 January 2021
- 1/4 Introduction, logistics, and deep learning.
- 1/6 Tips for a successful class project
- 1/11 Neural network basics, & backpropagation
- 1/13 Word embeddings (Project proposal due submission link, HW1 out)
- 1/18 University Holiday: Martin Luther King Jr. Day
- 1/20 RNNs
- 1/25 LSTMs/GRUs
- 1/27 Sequence-to-sequence models
- 2/1 Convolutional Neural Networks (HW1 due and HW2 out)
- 2/3 Attention mechanisms
- 2/8 Transformer and BERT (Mid-term report due submission link)
- 2/10 Mid-term project updates upload your slide here by 2/9 noon
- 2/15 University Holiday: Presidents' Day
- 2/17 Language and vision
- 2/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm)
- 2/24 Deep Reinforcement Learning 2
- 3/1 Generative Adversarial Networks
- 3/3 Project: final presentation (1)
- 3/8 Project: final presentation (2)
- 3/10 Project: final presentation (3)
- 3/19 23:59PM PT Project Final Report Due submission link.