Rushil Anirudh
18 papers · 2015–2024 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
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Cross-Pollinator
(9)
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Renaissance Researcher
(5)
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Taxonomy Completionist
(43)
π§¬
Topic Evolution
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Triple Crown
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Dynamic Duo
(13)
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Grand Slam
ποΈ
Keyword Collector
(77)
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Century Club
(18)
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Prolific Year
(5)
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Unstoppable
(5)
Conferences
WACV (4)
CVPR (3)
AAAI (2)
ICCV (2)
NIPS (2)
ACML (1)
ICLR (1)
ICML (1)
INTERSPEECH (1)
MIDL (1)
Top co-authors
Keywords
image reconstruction
(3)
computed tomography
(3)
model calibration
(2)
generative prior
(2)
medical imaging
(2)
epistemic uncertainty
(2)
latent space
(2)
unsupervised learning
(2)
contrastive learning
(2)
uncertainty estimation
(2)
distribution shift
(2)
adversarial learning
(1)
compressive sensing
(1)
principal component analysis
(1)
shortcut learning
(1)
dimensionality reduction
(1)
domain adaptation
(1)
robust classification
(1)
manifold learning
(1)
data augmentation
(1)
Papers
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
ICLR 2024
On the Use of Anchoring for Training Vision Models
NIPS 2024
PAGER: Accurate Failure Characterization in Deep Regression Models
ICML 2024
Improving Diversity With Adversarially Learned Transformations for Domain Generalization
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
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
MIDL 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
WACV 2023
Out of Distribution Detection via Neural Network
Anchoring
ACML 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
NIPS 2022
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
AAAI 2021
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization
WACV 2021
Generative Patch Priors for Practical Compressive Image Recovery
WACV 2021
Dynamic CT Reconstruction From Limited Views With Implicit Neural Representations and Parametric Motion Fields
ICCV 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