Paper-discussions

Papers discussed in the meetings of IITG.ai with summaries and resources.

Papers with summaries and resources

• Deep contextualized word representations. Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer. ACL 2018.
• Mask R-CNN. Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick. ICCV 2017.
• A few useful things to know about machine learning. Pedro Domingos. 2012.
• Deep Learning in Neural Networks: An Overview. 2014.
• Fast R-CNN. Ross Girshick. ICCV 2015.
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. NIPS 2015.
• Visualizing and Understanding Convolutional Networks. Matthew D. Zeiler, Rob Fergus. ECCV 2014.
• Efficient Estimation of Word Representations in Vector Space. Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean. ICLR 2013.

Papers with code and resources

• An overview of gradient descent optimization algorithms. Sebastian Ruder. 2017. [Paper] [Slides] [Summary] [Code]
• You Only Look Once: Unified, Real-Time Object Detection. Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi. CVPR 2016. [Paper] [Slides] [Code]
• A Style-Based Generator Architecture for Generative Adversarial Networks. CVPR 2019. [Paper] [Code]
• Neural Turing Machines. Alex Graves, Greg Wayne, Ivo Danihelka. 2014. [Paper] [Code]
• GloVe: Global Vectors for Word Representation. Jeffrey Pennington, Richard Socher, Christopher Manning. EMNLP 2014. [Slides] [Project Page] [Code]

Other papers with resources

• Generative Adversarial Nets. Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. NIPS 2014. [Paper]
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Alec Radford, Luke Metz, Soumith Chintala. ICLR 2016. [Paper]
• Wasserstein GAN. Martin Arjovsky, Soumith Chintala, Léon Bottou. ICML 2017. [Paper]
• Attention Is All You Need. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin. NIPS 2017. [Paper]
• GloVe: Global Vectors for Word Representation. Jeffrey Pennington, Richard Socher, Christopher Manning. EMNLP 2014. [Project Page]