Matthew Riemer
Matthew Riemer
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Cited by
Cited by
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
M Riemer, I Cases, R Ajemian, M Liu, I Rish, Y Tu, G Tesauro
Seventh International Conference on Learning Representations (ICLR 2019), 2018
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
C Rosenbaum, T Klinger, M Riemer
Sixth International Conference on Learning Representations (ICLR 2018), 2017
Learning to Teach in Cooperative Multiagent Reinforcement Learning
S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ...
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2018
Learning Abstract Options
M Riemer, M Liu, G Tesauro
Thirty-Second Conference on Neural Information Processing Systems (NIPS 2018), 2018
Scalable Recollections for Continual Lifelong Learning
M Riemer, T Klinger, D Bouneffouf, M Franceschini
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2017
Correcting Forecasts with Multifactor Neural Attention
M Riemer, A Vempaty, FP Calmon, FF Heath III, R Hull, E Khabiri
Thirty-Third International Conference on Machine Learning (ICML 2016), 2016
Routing Networks and the Challenges of Modular and Compositional Computation
C Rosenbaum, I Cases, M Riemer, T Klinger
arXiv preprint arXiv:1904.12774, 2019
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
I Cases, C Rosenbaum, M Riemer, A Geiger, T Klinger, A Tamkin, O Li, ...
Proceedings of NAACL 2019, 2019
Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning
M Riemer, E Khabiri, R Goodwin
arXiv preprint arXiv:1704.03617, 2016
Learning Hierarchical Teaching Policies for Cooperative Agents
DK Kim, M Liu, S Omidshafiei, S Lopez-Cot, M Riemer, G Habibi, ...
International Conference on Autonomous Agents and Multi-Agent Systems 2020, 2019
A Deep Learning and Knowledge Transfer Based Architecture for Social Media User Characteristic Determination
M Riemer, S Krasikov, H Srinivasan
Proceedings of the Third International Workshop on Natural Language …, 2015
Generative Knowledge Distillation for General Purpose Function Compression
M Riemer, M Franceschini, D Bouneffouf, T Klinger
NIPS 2017 Workshop on Teaching Machines, Robots, and Humans, 2017
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, I Padhi, ...
NIPS 2018 Workshop on Machine Learning for Molecules and Materials, 2018
Alexandria: Extensible Framework for Rapid Exploration of Social Media
FF Heath, R Hull, E Khabiri, M Riemer, N Sukaviriya, R Vaculín
2015 IEEE International Congress on Big Data, 483-490, 2015
On the Role of Weight Sharing During Deep Option Learning
M Riemer, I Cases, C Rosenbaum, M Liu, G Tesauro
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2019
Continual Learning with Self-Organizing Maps
P Bashivan, M Schrimpf, R Ajemian, I Rish, M Riemer, Y Tu
NIPS 2018 Workshop on Continual Learning, 2018
Deep RL with information constrained policies: Generalization in continuous control
T Malloy, CR Sims, T Klinger, M Liu, M Riemer, G Tesauro
arXiv preprint arXiv:2010.04646, 2020
Dispatched Routing Networks
C Rosenbaum, I Cases, M Riemer, A Geiger, L Karttunen, JD Greene, ...
Continual learning by maximizing transfer and minimizing interference
M Riemer, I Cases, R Ajemian, M Liu, I Rish, Y Tu, G Tesauro
NeurIPS, 1-24, 2018
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
T Malloy, T Klinger, M Liu, G Tesauro, M Riemer, CR Sims
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