One Shot Learning
Related Papers
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
AbstractWe present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the art …...
Learning Relational Representations by Analogy using Hierarchical Siamese Networks
AbstractWe address relation extraction as an analogy problem by proposing a novel approach to learn representations of relations expressed by their textual mentions. In our assumption, if two pairs of …...
Measuring Immediate Adaptation Performance for Neural Machine Translation
AbstractIncremental domain adaptation, in which a system learns from the correct output for each input immediately after making its prediction for that input, can dramatically improve system performance for interactive …...
Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming
AbstractMotivated by the needs of resource constrained dialog policy learning, we introduce dialog policy via differentiable inductive logic (DILOG). We explore the tasks of one-shot learning and zero-shot domain transfer …...
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries
AbstractWhile recent advances in deep learning led to significant improvements in machine translation, neural machine translation is often still not able to continuously adapt to the environment. For humans, as …...