AJAY JAISWAL
8 papers · 2020–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
👥
Mega-Team · Squad
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(4)
Core Methods
(3)
Computer Vision
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Processing
(2)
Techniques
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Core AI
(1)
Keywords
network pruning
(2)
image restoration
(2)
lottery ticket hypothesis
(1)
self-supervised learning
(1)
medical imaging
(1)
text generation
(1)
face recognition
(1)
deep learning
(1)
neural network optimization
(1)
class imbalance
(1)
multi-class classification
(1)
deep neural network
(1)
gradient flow
(1)
physics-informed learning
(1)
perceptual quality
(1)
sparse neural network
(1)
pre-trained language model
(1)
skip connection
(1)
commonsense reasoning
(1)
graph convolutional network
(1)
Papers
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
WACV 2024
Attend Who Is Weak: Pruning-Assisted Medical Image Localization Under Sophisticated and Implicit Imbalances
WACV 2023
Physics-Driven Turbulence Image Restoration with Stochastic Refinement
ICCV 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
NeurIPS 2023
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
NeurIPS 2022
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model
ECCV 2022
Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles
SemEval 2020
Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning
SemEval 2020