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Found 4 papers, 2 papers with code
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension
Multi-hop reading comprehension requires an ability to reason across multiple documents.
Variational Component Decoder for Source Extraction from Nonlinear Mixture
In many practical scenarios of signal extraction from a nonlinear mixture, only one (signal) source is intended to be extracted.
Clustered Task-Aware Meta-Learning by Learning from Learning Paths
To enable effective learning of new tasks with only few samples, meta-learning acquires common knowledge from the existing tasks with a globally shared meta-learner.
AdaRNN: Adaptive Learning and Forecasting of Time Series
This paper proposes Adaptive RNNs (AdaRNN) to tackle the TCS problem by building an adaptive model that generalizes well on the unseen test data.
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