19 citations · 58 across the 9 of their papers we have counts for
13 papers
Coarse-to-Fine Curriculum Learning
Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell +1
When faced with learning challenging new tasks, humans often follow sequences of steps that allow them to incrementally build up the necessary skills for performing these new tasks…
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos
TACRED is one of the largest and most widely used sentence-level relation extraction datasets. Proposed models that are evaluated using this dataset consistently set new state-of-t…
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian, Shamit Lal, Hsiao-Yu Tung +2
We propose HyperDynamics, a dynamics meta-learning framework that conditions on an agent's interactions with the environment and optionally its visual observations, and generates t…
Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction
George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos
Relation extraction (RE) aims to predict a relation between a subject and an object in a sentence, while knowledge graph link prediction (KGLP) aims to predict a set of objects, O,…
Learning from Imperfect Annotations
Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric Xing +1
Many machine learning systems today are trained on large amounts of human-annotated data. Data annotation tasks that require a high level of competency make data acquisition expens…
Jelly Bean World: A Testbed for Never-Ending Learning
Emmanouil Antonios Platanios, Abulhair Saparov, Tom Mitchell
Machine learning has shown growing success in recent years. However, current machine learning systems are highly specialized, trained for particular problems or domains, and typica…