Learning to Learn without Forgetting by Maximizing Transfer and\n Minimizing Interference

Matthew Riemer, Ignacio Cases, Robert Ajemian, +4

arXiv (Cornell University)

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Matthew Riemer, Ignacio Cases, Robert Ajemian, +4

arXiv (Cornell University)

Artificial IntelligenceIncremental LearningEngineeringMachine LearningSequential Learning +17

Learning to Teach in Cooperative Multiagent Reinforcement Learning

Shayegan Omidshafiei, Dong Ki Kim, Miao Liu, +5

DSpace@MIT (Massachusetts Institute of Technology)

Artificial IntelligenceAgent-based SystemEngineeringCollective Human KnowledgeAgent Decision-making +13

Routing Networks: Adaptive Selection of Non-linear Functions for\n Multi-Task Learning

Clemens M. Rosenbaum, Tim Klinger, Matthew Riemer

arXiv (Cornell University)

Routing Networks and the Challenges of Modular and Compositional Computation

Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, +1

arXiv (Cornell University)

Artificial IntelligenceStructured PredictionEngineeringMachine LearningNetwork Routing +25

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

Clemens Rosenbaum, Tim Klinger, Matthew Riemer

arXiv (Cornell University)

Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningMultistrategy Learning +15

Learning Abstract Options

Matthew Riemer, Miao Liu, Gerald Tesauro

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningSequential LearningGlobal Planning +21

Learning to Teach in Cooperative Multiagent Reinforcement Learning

Shayegan Omidshafiei, Dong Ki Kim, Miao Liu, +5

Proceedings of the AAAI Conference on Artificial Intelligence

Artificial IntelligenceAgent-based SystemEngineeringCollective Human KnowledgeAgent Decision-making +13

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences

Payel Das, Kahini Wadhawan, Oscar Chang, +4

arXiv (Cornell University)

EngineeringMachine LearningPeptide EngineeringAutoencodersSemi-supervised Targeted Design +15

Correcting forecasts with multifactor neural attention

Matthew Riemer, Aditya Vempaty, Flávio P. Calmon, +3

International Conference on Machine Learning

Forecasting MethodologyEngineeringMachine LearningNeural NetworkBusiness Analytics +15