## Knowledge Graphs and Deep Learning 102

Knowledge Graphs and Deep Learning 102Rate this post In this video, we are going to look into not so exciting developments that connect Deep Learning with Knowledge Graph and...

Knowledge Graphs and Deep Learning 102Rate this post In this video, we are going to look into not so exciting developments that connect Deep Learning with Knowledge Graph and...

Explaining math of GANs to teen (NIPS 2014) Generative Adversarial NetworksRate this post Forbes listed GANs in one of the best innovations in past 3 years. What is the...

Jose Hernandez-Orallo Interview – Kinds of Intelligence: Types, Tests & Meeting the Needs of SocietyRate this post In this episode, I’m joined by Jose Hernandez-Orallo, professor in the department...

Spatio-Temporal Hilbert Maps for Continuous Occupancy Reps in Dynamic Envs, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6541-spatio-temporal-hilbert-maps-for-continuous-occupancy-representation-in-dynamic-environments.pdf We consider the problem of building continuous occupancy representations in dynamic environments for...

Sorting out typicality with the inverse moment matrix SOS polynomial, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6495-sorting-out-typicality-with-the-inverse-moment-matrix-sos-polynomial.pdf We study a surprising phenomenon related to the representation of a cloud of...

Solving Marginal MAP Problems with NP Oracles and Parity Constraints, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6462-solving-marginal-map-problems-with-np-oracles-and-parity-constraints.pdf Arising from many applications at the intersection of decision-making and machine learning, Marginal...

Spectral Learning of Dynamic Systems from Nonequilibrium Data, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6191-spectral-learning-of-dynamic-systems-from-nonequilibrium-data.pdf Observable operator models (OOMs) and related models are one of the most important and powerful...

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6270-stochastic-multiple-choice-learning-for-training-diverse-deep-ensembles.pdf Many practical perception systems exist within larger processes which often include interactions with users...

What Makes Objects Similar: A Unified Multi Metric Learning Approach, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6192-what-makes-objects-similar-a-unified-multi-metric-learning-approach.pdf Linkages are essentially determined by similarity measures that may be derived from multiple...

SURGE: Surface Regularized Geometry Estimation from a Single Image, NIPS 2016 SpotlightRate this post https://papers.nips.cc/paper/6502-surge-surface-regularized-geometry-estimation-from-a-single-image.pdf This paper introduces an approach to regularize 2.5D surface normal and depth predictions at...