2 citations · 6 across the 6 of their papers we have counts for
6 papers
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Ajay Jaiswal, Shiwei Liu, Tianlong Chen +2
Large pre-trained transformers have been receiving explosive attention in the past few years, due to their wide adaptability for numerous downstream applications via fine-tuning, b…
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
Ajay Jaiswal, Shiwei Liu, Tianlong Chen +2
Graphs are omnipresent and GNNs are a powerful family of neural networks for learning over graphs. Despite their popularity, scaling GNNs either by deepening or widening suffers fr…
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Tianhao Li, Sandesh Shetty, Advaith Kamath +4
Large pre-trained language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their a…
Disparity in the Evolving COVID-19 Collaboration Network
Huimin Xu, Redoan Rahman, Ajay Jaiswal +5
The COVID 19 pandemic has paused many ongoing research projects and unified researchers' attention to focus on COVID 19 related issues. Our project traces 712294 scientists' public…
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging
Ajay Jaiswal, Kumar Ashutosh, Justin F Rousseau +3
AI-powered Medical Imaging has recently achieved enormous attention due to its ability to provide fast-paced healthcare diagnoses. However, it usually suffers from a lack of high-q…
Team formation and team performance: The balance between team freshness and repeat collaboration
Meijun Liu, Ajay Jaiswal, Yi Bu +5
Incorporating fresh members in teams is considered a pathway to team creativity. However, whether freshness improves team performance or not remains unclear, as well as the optimal…