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Welcome to the UF Machine Learning Reading Group.

In Fall 2017, we are meeting bi-weekly on Thursdays at 4:30 PM in CSE 404.


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.