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04/04/2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Model-agnostic meta-learning (MAML) is one of the most successful meta-l...
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03/28/2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
Continual domain shift poses a significant challenge in real-world appli...
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02/28/2023
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
Sequential recommenders have made great strides in capturing a user's pr...
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05/28/2022
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline
We study task-agnostic continual reinforcement learning (TACRL) in which...
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02/26/2021
Deep Quantile Aggregation
Conditional quantile estimation is a key statistical learning challenge ...
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08/26/2020
Visual Concept Reasoning Networks
A split-transform-merge strategy has been broadly used as an architectur...
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10/02/2019
Variational Temporal Abstraction
We introduce a variational approach to learning and inference of tempora...
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06/13/2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation
In this paper, a neural architecture search (NAS) framework is proposed ...
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05/04/2019
Edge-labeling Graph Neural Network for Few-shot Learning
In this paper, we propose a novel edge-labeling graph neural network (EG...
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05/01/2019
Fast AutoAugment
Data augmentation is an indispensable technique to improve generalizatio...
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06/11/2018
Bayesian Model-Agnostic Meta-Learning
Learning to infer Bayesian posterior from a few-shot dataset is an impor...
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01/20/2018
A Deep Reinforcement Learning Chatbot (Short Version)
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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09/07/2017
A Deep Reinforcement Learning Chatbot
We present MILABOT: a deep reinforcement learning chatbot developed by t...
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07/19/2017
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition
Layer normalization is a recently introduced technique for normalizing t...
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06/10/2016