AI Weekly Update - March 22nd, 2021 (#29)!

Thanks for watching! Please Subscribe! Content Links: Revisiting ResNets: https://arxiv.org/pdf/2103.07579.pdf Is it Enough to Optimize CNN Architectures on imageNet? https://arxiv.org/pdf/2103.09108.pdf Learning to Resize Images for Computer Vision Tasks: https://arxiv.org/pdf/2103.09950.pdf Large-Scale Zero-Shot Learning: https://arxiv.org/pdf/2103.09669.pdf Training GANs with Stronger Augmentations via Contrastive Discriminator: https://arxiv.org/pdf/2103.09742.pdf Using Latent Space Regression to Analyze and Leverage Compositionality in GANs: https://arxiv.org/pdf/2103.10426.pdf Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction: https://sites.google.com/view/ghvae Unsupervised Image Transformation Learning via Generative Adversarial Networks: https://arxiv.org/pdf/2103.07751.pdf How Many Data Points is a Prompt Worth? https://arxiv.org/pdf/2103.08493.pdf GPT Understands, Too: https://arxiv.org/pdf/2103.10385.pdf Few-Shot Text Classification: https://arxiv.org/pdf/2103.07552.pdf All NLP Tasks are Generation Tasks: https://arxiv.org/pdf/2103.10360.pdf TimeSformer: https://ai.facebook.com/blog/timesformer-a-new-architecture-for-video-understanding/ PapersWithCode Newsletter: https://paperswithcode.com/newsletter/6/ Chapters 0:00 Preview 13:37 Revisiting ResNets 20:40 Is it Enough to Optimize CNN Architectures on ImageNet? 24:27 Learning to Resize 28:27 Large-Scale Zero-Shot Learning 30:51 GANs with Contrastive Discriminator 34:28 Latent Space Regressor 36:38 Greedy Hierarchical Variational Autoencoder 38:43 Unsupervised Image Translation 42:14 How Many Data points is a Prompt Worth? 45:37 GPT Understands, Too 47:13 Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning 48:31 All NLP Tasks are Generation Tasks 49:48 TimeSformer 51:17 PapersWithCode Newsletter