CS 598 LAZ Reading Lists

January 19: Overview of CNN architectures

January 24, 26: RNN Tutorial (Arun Mallya)

January 31: Advanced CNN Architectures (Akshay Mishra, Hong Cheng)

February 2: Advanced training techniques (Prajit)

February 7: Network compression and speedup (Shuochao, Yiwen, Daniel)

February 9: Object detection (Jiajun, Sihao, Kevin)

February 14: Semantic segmentation, pixel labeling (Liwei)

February 16: Similarity learning, Siamese networks (Moitreya, Yunan)

February 21: Visualization, adversarial examples (Ralf, Jyoti, Jiahui)

February 23: Generative Adversarial Networks (Shashank, Bhargav, Binglin)

February 28: Variational Autoencoders (Raymond, Junting, Teck-Yian)

March 2: Advanced generation methods (Hsiao-Ching, Ameya, Anand)

March 7: 3D + Graphics (Qi, Juho)

March 9: Self-supervised Learning (Nate, Christian, Pratik)

March 10: Introduction to Reinforcement Learning - Bonus lecture (Garima, Karan and Unnat)

March 14: Deep Reinforcement Learning - Q-Learning (Garima, Karan and Unnat)

March 16: Policy Gradient and Planning (Raj, Tanmay, Zhizhong)

March 28: Deep learning for manipulation, navigation (Andrey, Tanmay)

March 30: Recurrent Architectures: LSTM, GRU, RNN (Abhishek, Anusri)

April 4: Image captioning (Anjali, Ruihan, Liaonan)

April 6: Image-text embeddings, grounding (Yang, Qing)

April 11: Visual Question Answering (Liang-Wei, Shuai)

April 13: Deep Learning for NLP (Zeqiu, Dongming, Quan)

April 18: Deep Learning for Machine Translation (Yiren, Yisi and Shaoshi)

April 20: Deep Learning for Audio (Matt, Chris, Yuchen)

April 25: Architectures with Memory (Nitish, Shreya)

April 27: Meta-Algorithms (Mariya and Safa)