Pradeep Shenoy
19 papers · 2010–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(15)
Application Areas
(9)
Deep Learning
(8)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Architectures
(4)
Core AI
(4)
Core Methods
(4)
Computer Vision
(3)
Interdisciplinary
(3)
Cognitive Science
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Analysis
(2)
Keywords
generative model
(3)
outlier detection
(2)
bilevel optimization
(2)
decision making
(2)
bayesian inference
(2)
continual learning
(2)
instance weighting
(2)
knowledge distillation
(2)
cognitive modeling
(2)
catastrophic forgetting
(1)
feature extraction
(1)
anomaly detection
(1)
active learning
(1)
domain adaptation
(1)
vision transformer
(1)
image classification
(1)
object detection
(1)
model calibration
(1)
adversarial learning
(1)
uncertainty quantification
(1)
Papers
Masked Generative Nested Transformers with Decode Time Scaling
ICML 2025
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement
ECCV 2024
Improving Generalization via Meta-Learning on Hard Samples
CVPR 2024
Instance-Conditional Timescales of Decay for Non-Stationary Learning
AAAI 2024
Learning model uncertainty as variance-minimizing instance weights
ICLR 2024
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing
ECCV 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
AISTATS 2024
Using Early Readouts To Mediate Featural Bias in Distillation
WACV 2024
Adaptive Mixing of Auxiliary Losses in Supervised Learning
AAAI 2023
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
CVPR 2023
Interactive Concept Bottleneck Models
AAAI 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
ICML 2023
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
IJCAI 2023
FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing
CVPR 2022
GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning
CVPR 2022
Robust Outlier Detection by De-Biasing VAE Likelihoods
CVPR 2022
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans
AAAI 2021
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
NeurIPS 2012
A rational decision making framework for inhibitory control
NeurIPS 2010