Amit Sethi
10 papers · 2022–2026 · 2 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
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Keywords
network inversion
(3)
vision transformer
(3)
federated learning
(2)
out-of-distribution detection
(2)
wavelet transform
(2)
convolutional neural network
(2)
parameter efficiency
(2)
epistemic uncertainty
(1)
uncertainty quantification
(1)
semi-supervised learning
(1)
feature representation
(1)
image super-resolution
(1)
variance regularization
(1)
generative model
(1)
vision-language model
(1)
privacy preservation
(1)
feature fusion
(1)
knowledge distillation
(1)
inductive bia
(1)
medical imaging
(1)
Papers
Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)
AAAI 2026
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)
AAAI 2026
Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract)
AAAI 2026
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract)
AAAI 2026
Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)
AAAI 2026
Network Inversion of Convolutional Neural Nets (Student Abstract)
AAAI 2025
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract)
AAAI 2025
Reverse Knowledge Distillation: Training a Large Model Using a Small One for Retinal Image Matching on Limited Data
WACV 2024
WaveMixSR: Resource-Efficient Neural Network for Image Super-Resolution
WACV 2024
Resource-Efficient Hybrid X-Formers for Vision
WACV 2022