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Found 5 papers, 1 papers with code
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio
In collaboration with Big Health, the therapeutics company that created and utilizes Sleepio, we have analysed data from a random sample of 401, 174 sleep diaries and built a neural network to model sleep behaviour and sleep quality of each individual in a personalised manner.
Unsupervised Cross-Task Generalization via Retrieval Augmentation
Humans can perform unseen tasks by recalling relevant skills acquired previously and then generalizing them to the target tasks, even if there is no supervision at all.
Finding Trolls Under Bridges: Preliminary Work on a Motif Detector
We briefly describe an annotation effort to produce data for training motif detection, which is on-going.
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
Relation and event extraction is an important task in natural language processing.
Query-Free Adversarial Transfer via Undertrained Surrogates
Deep neural networks are vulnerable to adversarial examples -- minor perturbations added to a model's input which cause the model to output an incorrect prediction.
