20 citations · 20 across the 1 of their papers we have counts for
3 papers
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai +1
Self-supervised pre-training of transformer models has revolutionized NLP applications. Such pre-training with language modeling objectives provides a useful initial point for para…
Emission-aware Energy Storage Scheduling for a Greener Grid
Rishikesh Jha, Stephen Lee, Srinivasan Iyengar +3
Reducing our reliance on carbon-intensive energy sources is vital for reducing the carbon footprint of the electric grid. Although the grid is seeing increasing deployments of clea…
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
Trapit Bansal, Rishikesh Jha, Andrew McCallum
Self-supervised pre-training of transformer models has shown enormous success in improving performance on a number of downstream tasks. However, fine-tuning on a new task still req…