November 16th
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data
https://cs.stanford.edu/~ermon/group/website/papers/jiaxuan_AAAI17.pdf
November 9th
Generalization in Deep Learning
https://arxiv.org/abs/1710.05468
Nov 2nd
Remco
Robust Physical-World Attacks on Deep Learning Models
https://arxiv.org/pdf/1707.08945.pdf
Practical Black-Box Attacks against Machine Learning
https://arxiv.org/pdf/1602.02697.pdf
October 19th
Mohan Sridharan
Leveraging Commonsense Reasoning and Multimodal Perception for Robot Spoken Dialog System
http://eecs.csuohio.edu/~szhang/papers/2017_CONF_IROS_Lu.pdf
October 12th
Special Guest Speaker
Zahra Ahmadi
University of Mainz, Germany
Modeling recurring concepts in single-label and multi-label streams
Sept 28th
Bernhard Pfahringer
Self-Normalizing Neural Networks
https://arxiv.org/pdf/1706.02515.pdf
Sept 21st
Christiaan Swanepoel
Stochastic Gradient Descent as Approximate Bayesian Inference
https://arxiv.org/pdf/1704.04289.pdf
Early Stopping is Nonparametric Variational Inference
https://arxiv.org/pdf/1504.01344.pdf
September 14th
Diana Benavides Prado
Interpretable Decision Sets: A Joint Framework for
Description and Prediction
September 7th
Alex Peng
UNDERSTANDING DEEP LEARNING REQUIRES RETHINKING GENERALIZATION
https://arxiv.org/pdf/1611.03530.pdf
August 31st
Mohan Sridharan
Learning task goals interactively with visual
demonstrations
James Kirk *, Aaron Mininger, John Laird