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2021-05
TAG: Task-based Accumulated Gradients for Lifelong learning.
A Survey of Data Augmentation Approaches for NLP.
Out-of-Distribution Classification and Clustering
Maximum Reward Formulation In Reinforcement Learning
2021-03
Continuous Coordination As a Realistic Scenario for Lifelong Learning.
2020-12
IIRC: Incremental Implicitly-Refined Classification.
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
2020-09
MLMLM: Link Prediction with Mean Likelihood Masked Language Model.
2020-08
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics
2020-07
Slot Contrastive Networks: A Contrastive Approach for Representing Objects.
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
2020-06
PatchUp: A Regularization Technique for Convolutional Neural Networks
2020-04
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
2020-03
On challenges in training recurrent neural networks
The Hanabi Challenge: A New Frontier for AI Research
2020-01
Toward Training Recurrent Neural Networks for Lifelong Learning.
2019-07
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
2019-06
Towards Lossless Encoding of Sentences
2019-05
Structure Learning for Neural Module Networks.
EMNLP 2019
(2019-05-01)
ui.adsabs.harvard.eduPDF[LATEST on arXiv preprint arXiv:1905.11532 (2019-05-27)]2019-01
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
2018-11
Environments for Lifelong Reinforcement Learning.
2018-01
A Deep Reinforcement Learning Chatbot (Short Version)
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