Akshay Asthana
6 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π Conference Polyglot Β· Silver
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The Questioner
(2)
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(4)
Computer Vision
(3)
Deep Learning
(3)
Analysis
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Types Β· Machine Learning
(1)
Optimization & Theory Β· Machine Learning
(1)
Keywords
neural network quantization
(1)
model compression
(1)
object detection
(1)
incremental learning
(1)
neural network optimization
(1)
face alignment
(1)
feature representation
(1)
markov chain monte carlo
(1)
probabilistic matrix factorization
(1)
generalization ability
(1)
discriminative regression
(1)
closed-form solution
(1)
out-of-distribution detection
(1)
uncertainty estimation
(1)
edge computing
(1)
straight-through estimator
(1)
large vision-language model
(1)
quantization-aware training
(1)
performance prediction
(1)
sparse data
(1)
Papers
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML 2025
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks
WACV 2024
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
ECCV 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
Incremental Face Alignment in the Wild
CVPR 2014
Robust Discriminative Response Map Fitting with Constrained Local Models
CVPR 2013