Spring 2021 Discussions
We conduct two discussions every week where we dicuss the basic concepts and recent advancements in the field of Deep Learning.
Basic Discussions
We discuss a few fundamental concepts on Wednesdays.
| Date | Topic | Resources |
|---|---|---|
| 14-04-2021 | Linear Algebra | Slides |
| 21-04-2021 | Probability and Stats | Slides |
| 05-05-2021 | Neural Networks and CNNs | Slides-A Slides B |
Advanced Discussions
We discuss the latest papers published in top tier conferences on Saturdays.
Date |
Paper 1 | Link |
Paper 2 | Link |
|---|---|---|---|---|
| 20-02-2021 | GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields | https://arxiv.org/abs/2011.12100 | Swapping Autoencoder for Deep Image Manipulation | https://taesung.me/SwappingAutoencoder/ |
| 27-02-2021 | ActionBytes: Learning from Trimmed Videos to Localize Actions | https://openaccess.thecvf.com/content_CVPR_2020/papers/Jain_ActionBytes_Learning_From_Trimmed_Videos_to_Localize_Actions_CVPR_2020_paper.pdf | The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective | https://arxiv.org/abs/2012.11448 |
| 13-03-2021 | Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly | https://arxiv.org/abs/2103.00397v1 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | https://arxiv.org/abs/2010.11929 |
| 24-04-2021 | PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition | https://arxiv.org/abs/1911.12409 | Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference | https://arxiv.org/abs/1912.03203 |
| 01-05-2021 | SCOUT: Self-aware Discriminant Counterfactual Explanations | https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_SCOUT_Self-Aware_Discriminant_Counterfactual_Explanations_CVPR_2020_paper.pdf | High-performance brain-to-text communication via imagined handwriting | https://www.biorxiv.org/content/10.1101/2020.07.01.183384v1.full.pdf |
Vision and Language Group
Deep Learning Research Group