Representations of Relationships in Images and Text

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=USfGUq2-eek


Duration: 42:54
1,081 views
10

Hal Daume, University of Maryland at College Park
Representation Learning
https://simons.berkeley.edu/talks/hal-daume-2017-3-27



Other Videos By Simons Institute for the Theory of Computing


2017-03-29Evaluating Neural Network Representations Against Human Cognition
2017-03-29Adversarial Perceptual Representation Learning Across Diverse Modalities and Domains
2017-03-29Continuous State Machines and Grammars for Linguistic Structure Prediction
2017-03-28Failures of Deep Learning
2017-03-28Supersizing Self-Supervision: Learning Perception and Action without Human Supervision
2017-03-28Deep Reinforcement Learning
2017-03-28Learning from Unlabeled Video
2017-03-28Unsupervised Discovery Through Adversarial Self-Play
2017-03-27Spotlight Talk: Semi-Random Units for Learning Neural Networks with Guarantees
2017-03-27Spotlight Talk: A Formalization of Representation Learning
2017-03-27Representations of Relationships in Images and Text
2017-03-27The Missing Signal
2017-03-27Representations for Language: From Word Embeddings to Sentence Meanings
2017-03-27A Non-generative Framework and Convex Relaxations for Unsupervised Learning
2017-03-27Geometry, Optimization and Generalization in Multilayer Networks
2017-03-24Understanding Silicon Valley
2017-03-16The Contextual Bandits Problem
2017-03-10A Reduction from Efficient Non-Malleable Extractors to Low-Error Two-Source Extractors
2017-03-10Randomness Intuition
2017-03-10Fast Permutation Property Testing and Metrics of Permutations
2017-03-09Query-to-Communication Lifting for BPP


Tags:
Simons Institute
theoretical computer science
UC Berkeley
Hal Daume
Representation Learning