Meetings

Date	Presenter(s)	Paper(s)
August 31, 2017	Patrick Emami	Towards Deep Symbolic Reinforcement Learning
August 03, 2017	Hadi Abdullah	Intriguing Properties of Neural Networks
July 06, 2017	Madhu Mithaa	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
June 29, 2017	Rajendra Bhat	Semi-Supervised Knowledge Transfer for Deep Learning from Private Training Data
June 22, 2017	Patrick Emami	The Markov Chain Monte Carlo Revolution
June 15, 2017	Rohit Maholtra	Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
June 08, 2017	Scott Siegel	Inferring and Executing Programs for Visual Reasoning
June 01, 2017	Patrick Emami	Recurrent Environment Simulators
May 09, 2017	Scott Siegel	Deep Reinforcement Learning for Dialogue Generation
May 04, 2017	Patrick Emami	Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
April 20, 2017	Alex Wagner	Topology and Data, Sections 1 and 2
March 30, 2017	Ryan Burt	Pixel Recursive Super Resolution
March 16, 2017	Xiang Gao	Towards Principled Methods for Training Generative Adversarial Networks
March 02, 2017	Alex Wagner	Batch Renormalization- Towards Reducing Minibatch Dependence in Batch-Normalized Models, Batch Normalization- Accelerating Deep Network Training by Reducing Internal Covariate Shift
February 16, 2017	Patrick Emami	A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
February 02, 2017	Francesco Pittaluga	InfoGAN-Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
January 19, 2017	Patrick Emami, Ryan Burt	Neural Machine Translation by Jointly Learning to Align and Translate, Learning to See by Moving

Check back here for updates on reading material for future meetings.