research
∙
08/17/2023
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?
Pruning has emerged as a powerful technique for compressing deep neural ...
share
research
∙
07/20/2023
Physics-Driven Turbulence Image Restoration with Stochastic Refinement
Image distortion by atmospheric turbulence is a stochastic degradation, ...
research
∙
06/29/2023
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Whole-body biometric recognition is an important area of research due to...
research
∙
06/18/2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
Graphs are omnipresent and GNNs are a powerful family of neural networks...
research
∙
06/18/2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Large pre-trained transformers have been receiving explosive attention i...
research
∙
06/06/2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
Large pre-trained transformers are show-stealer in modern-day deep learn...
research
∙
04/18/2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Large pre-trained language models (LLMs) have been shown to have signifi...
research
∙
03/03/2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Sparse Neural Networks (SNNs) have received voluminous attention predomi...
research
∙
03/02/2023
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Despite their remarkable achievement, gigantic transformers encounter si...
research
∙
12/06/2022
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances
Deep neural networks (DNNs) have rapidly become a de facto choice for me...
research
∙
10/15/2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging
AI-powered Medical Imaging has recently achieved enormous attention due ...
research
∙
10/14/2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Despite the enormous success of Graph Convolutional Networks (GCNs) in m...
research
∙
07/20/2022
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model
Image restoration algorithms for atmospheric turbulence are known to be ...
research
∙
05/18/2022
Team formation and team performance: The balance between team freshness and repeat collaboration
Incorporating fresh members in teams is considered a pathway to team cre...
research
∙
10/28/2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Radiology reports are unstructured and contain the imaging findings and ...
research
∙
10/27/2021
SCALP – Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Computer-aided diagnosis plays a salient role in more accessible and acc...
research
∙
11/25/2020
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays
Chest X-rays become one of the most common medical diagnoses due to its ...
research
∙
09/16/2020
Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles
This paper describes our system (Solomon) details and results of partici...
research
∙
05/09/2017
