Jayaraman J. Thiagarajan
22 papers · 2018–2024 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Conference Polyglot (12) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(49)
π
Conference Polyglot
(12)
π€
Dynamic Duo
(13)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(22)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(93)
Conferences
AAAI (4)
ICML (3)
INTERSPEECH (3)
CVPR (2)
ICLR (2)
WACV (2)
ACML (1)
ECCV (1)
ICCV (1)
JMLR (1)
MIDL (1)
NIPS (1)
Top co-authors
Keywords
image reconstruction
(3)
domain adaptation
(3)
contrastive learning
(2)
out-of-distribution detection
(2)
epistemic uncertainty
(2)
medical imaging
(2)
latent space
(2)
unsupervised learning
(2)
computed tomography
(2)
uncertainty quantification
(2)
distribution shift
(2)
model calibration
(2)
generative adversarial network
(2)
embedding learning
(1)
adversarial robustness
(1)
adversarial learning
(1)
test-time adaptation
(1)
source separation
(1)
metric learning
(1)
robust classification
(1)
Papers
On the Use of Anchoring for Training Vision Models
NIPS 2024
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
ECCV 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
ICLR 2024
PAGER: Accurate Failure Characterization in Deep Regression Models
ICML 2024
Target-Aware Generative Augmentations for Single-Shot Adaptation
ICML 2023
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
ICLR 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
WACV 2023
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
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
MIDL 2023
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
ICCV 2023
Out of Distribution Detection via Neural Network
Anchoring
ACML 2022
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
ICML 2022
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
On the Design of Deep Priors for Unsupervised Audio Restoration
INTERSPEECH 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
AAAI 2021
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
AAAI 2021
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
AAAI 2020
Unsupervised Audio Source Separation Using Generative Priors
INTERSPEECH 2020
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms
JMLR 2018
Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
CVPR 2018
Triplet Network with Attention for Speaker Diarization
INTERSPEECH 2018