Edge-Labeling Graph Neural Network for Few-Shot Learning

Jongmin Kim, Taesup Kim, Sungwoong Kim, +1

Edge-labeling GraphFew-shot LearningEdge-labeling LossGeometric LearningEngineering +10

PixelDefend: Leveraging Generative Models to Understand and Defend\n against Adversarial Examples

Yang Song, Taesup Kim, Sebastian Nowozin, +2

arXiv (Cornell University)

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Yang Song, Taesup Kim, Sebastian Nowozin, +2

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningInformation ForensicsGenerative System +17

Bayesian Model-Agnostic Meta-Learning

Jaesik Yoon, Taesup Kim, Ousmane Dia, +3

Artificial IntelligenceFew-shot LearningBayesian StatisticEngineeringMachine Learning +14

A Deep Reinforcement Learning Chatbot

Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, +15

arXiv (Cornell University)

Artificial IntelligenceChatbotEngineeringMachine LearningDeep Reinforcement +14

Bayesian Model-Agnostic Meta-Learning

Taesup Kim, Jaesik Yoon, Ousmane Dia, +3

arXiv (Cornell University)

Artificial IntelligenceFew-shot LearningBayesian StatisticEngineeringMachine Learning +16

Fast AutoAugment

Sungbin Lim, Ildoo Kim, Taesup Kim, +2

Neural Information Processing Systems

Data AugmentationConvolutional Neural NetworkMachine VisionImage AnalysisData Science +12

Fast AutoAugment.

Sungbin Lim, Ildoo Kim, Taesup Kim, +2

arXiv (Cornell University)

Data AugmentationConvolutional Neural NetworkMachine VisionImage AnalysisData Science +11

Deep Directed Generative Models with Energy-Based Probability Estimation

Taesup Kim, Yoshua Bengio

arXiv (Cornell University)

Artificial IntelligenceEnergy-based Probability EstimationEngineeringMachine LearningData Science +11

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition

Taesup Kim, Inchul Song, Yoshua Bengio

EngineeringMachine LearningLayer NormalizationAcoustic ModelingSpeech Recognition +14