Rushil Anirudh
18 papers · 2015–2024 · 10 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 ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Grand Slam
π
Triple Crown
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(82)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(9)
Computer Vision
(8)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Domain-Specific
(4)
Architectures
(3)
Models
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Keywords
epistemic uncertainty
(4)
computed tomography
(3)
image reconstruction
(3)
uncertainty estimation
(3)
out-of-distribution detection
(3)
model calibration
(2)
unsupervised learning
(2)
distribution shift
(2)
contrastive learning
(2)
latent space
(2)
generative prior
(2)
medical imaging
(2)
neural tangent kernel
(2)
adversarial learning
(1)
compressive sensing
(1)
principal component analysis
(1)
shortcut learning
(1)
dimensionality reduction
(1)
domain adaptation
(1)
robust classification
(1)
Papers
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
ICLR 2024
On the Use of Anchoring for Training Vision Models
NeurIPS 2024
PAGER: Accurate Failure Characterization in Deep Regression Models
ICML 2024
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
WACV 2023
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
CVPR 2023
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
ICCV 2023
Improving Diversity With Adversarially Learned Transformations for Domain Generalization
WACV 2023
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
MIDL 2023
Out of Distribution Detection via Neural Network
Anchoring
ACML 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
NeurIPS 2022
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
AAAI 2021
Dynamic CT Reconstruction From Limited Views With Implicit Neural Representations and Parametric Motion Fields
ICCV 2021
Generative Patch Priors for Practical Compressive Image Recovery
WACV 2021
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization
WACV 2021
Unsupervised Audio Source Separation Using Generative Priors
Interspeech 2020
Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
CVPR 2018
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables
CVPR 2015