Resources

Sample papers one can present:

CV

1. A ConvNet for the 2020s

OPT

1. An Empirical Study of Example Forgetting During Deep Neural Network Learning
2. GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

NLP

1. Survey of large GPT-like models (Wu Dao, Jurassic-1, Megatron-Turing NLG, GPT-NeoX-20B etc.)

GNN

1. Inductive Representation Learning on Large Graphs
2. BuildingNet: Learning to Label 3D Buildings