81 citations · 135 across the 9 of their papers we have counts for
4 papers · 1 filter
Curriculum Meta-Learning for Few-shot Classification
Emmanouil Stergiadis, Priyanka Agrawal, Oliver Squire
We propose an adaptation of the curriculum training framework, applicable to state-of-the-art meta learning techniques for few-shot classification. Curriculum-based training popula…
OmniNet: A unified architecture for multi-modal multi-task learning
Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Transformer is a popularly used neural network architecture, especially for language understanding. We introduce an extended and unified architecture that can be used for tasks inv…
On Controllable Sparse Alternatives to Softmax
Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal +3
Converting an n-dimensional vector to a probability distribution over n objects is a commonly used component in many machine learning tasks like multiclass classification, multilab…
Deep Domain Adaptation under Deep Label Scarcity
Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal +1
The goal behind Domain Adaptation (DA) is to leverage the labeled examples from a source domain so as to infer an accurate model in a target domain where labels are not available o…