Pradeep Shenoy

According to our database, Pradeep Shenoy authored at least 50 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Using Early Readouts to Mediate Featural Bias in Distillation.

Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning model uncertainty as variance-minimizing instance weights.

Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement.

Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty

Proceedings of the Computer Vision - ECCV 2024, 2024

OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing.

Pranav Gupta, Rishubh Singh, Pradeep Shenoy, Ravikiran Sarvadevabhatla

Proceedings of the Computer Vision - ECCV 2024, 2024

Improving Generalization via Meta-Learning on Hard Samples.

Nishant Jain, Arun S. Suggala, Pradeep Shenoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components.

Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Instance-Conditional Timescales of Decay for Non-Stationary Learning.

Nishant Jain, Pradeep Shenoy

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rescuing referral failures during automated diagnosis of domain-shifted medical images.

Anuj Srivastava, Karm Patel, Pradeep Shenoy, Devarajan Sridharan

CoRR, 2023

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings.

Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer

CoRR, 2023

Sifer: Overcoming simplicity bias in deep networks using a feature sieve.

Rishabh Tiwari, Pradeep Shenoy

CoRR, 2023

Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++.

Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Overcoming Simplicity Bias in Deep Networks using a Feature Sieve.

Rishabh Tiwari, Pradeep Shenoy

Proceedings of the International Conference on Machine Learning, 2023

Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision.

Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning.

Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Aniruddha S, Balaraman Ravindran, Pradeep Shenoy

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Adaptive Mixing of Auxiliary Losses in Supervised Learning.

Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Interactive Concept Bottleneck Models.

Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Selective classification using a robust meta-learning approach.

Nishant Jain, Pradeep Shenoy

CoRR, 2022

Learning on non-stationary data with re-weighting.

Nishant Jain, Pradeep Shenoy

CoRR, 2022

Robustifying Deep Vision Models Through Shape Sensitization.

Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy

CoRR, 2022

Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition.

Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava

CoRR, 2022

Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning.

Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Balaraman Ravindran, Pradeep Shenoy

CoRR, 2022

ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing.

Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan

CoRR, 2022

GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning.

Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing.

Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust outlier detection by de-biasing VAE likelihoods.

Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Meta-Learning of Dynamic Policy Adjustments in Inhibitory Control Tasks.

Soumya Chatterjee, Aakriti Kumar, Pradeep Shenoy

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Efficient remedies for outlier detection with variational autoencoders.

Kushal Chauhan, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan

CoRR, 2021

End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks.

Ananye Agarwal, Pradeep Shenoy, Mausam

CoRR, 2021

Tracking what matters: A decision-variable account of human behavior in bandit tasks.

Vishwajeet Agrawal, Pradeep Shenoy

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans.

Soumya Chatterjee, Pradeep Shenoy

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2013

Rational preference shifts in multi-attribute choice: what is fair?

Pradeep Shenoy, Angela J. Yu

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making.

Pradeep Shenoy, Angela J. Yu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010

A rational decision making framework for inhibitory control.

Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008

Generalized Features for Electrocorticographic BCIs.

Pradeep Shenoy, Kai J. Miller, Jeffrey G. Ojemann, Rajesh P. N. Rao

IEEE Trans. Biomed. Eng., 2008

Online Electromyographic Control of a Robotic Prosthesis.

Pradeep Shenoy, Kai J. Miller, Beau Crawford, Rajesh P. N. Rao

IEEE Trans. Biomed. Eng., 2008

Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification.

Kai J. Miller, Pradeep Shenoy, Marcel den Nijs, Larry B. Sorensen, Rajesh P. N. Rao, Jeffrey G. Ojemann

IEEE Trans. Biomed. Eng., 2008

Complementary computing for visual tasks: Meshing computer vision with human visual processing.

Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric Horvitz

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Combining brain computer interfaces with vision for object categorization.

Ashish Kapoor, Pradeep Shenoy, Desney S. Tan

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Human-aided computing: utilizing implicit human processing to classify images.

Pradeep Shenoy, Desney S. Tan

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Feasibility and pragmatics of classifying working memory load with an electroencephalograph.

David B. Grimes, Desney S. Tan, Scott E. Hudson, Pradeep Shenoy, Rajesh P. N. Rao

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007

Real-time functional brain mapping using electrocorticography.

Kai J. Miller, Marcel den Nijs, Pradeep Shenoy, John W. Miller, Rajesh P. N. Rao, Jeffrey G. Ojemann

NeuroImage, 2007

2005

Real-Time Classification of Electromyographic Signals for Robotic Control.

Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao

Proceedings of the Proceedings, 2005

2004

Dynamic Bayesian Networks for Brain-Computer Interfaces.

Pradeep Shenoy, Rajesh P. N. Rao

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

ROLEX: Relational On-Line Exchange with XML.

Philip Bohannon, Xin Dong, Sumit Ganguly, Henry F. Korth, Chengkai Li, P. P. S. Narayan, Pradeep Shenoy

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

Corpus-based Schema Matching.

Jayant Madhavan, Philip A. Bernstein, Kuang Chen, Alon Y. Halevy, Pradeep Shenoy

Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

2002

Updates for Structure Indexes.

Raghav Kaushik, Philip Bohannon, Jeffrey F. Naughton, Pradeep Shenoy

Proceedings of 28th International Conference on Very Large Data Bases, 2002

Optimizing View Queries in ROLEX to Support Navigable Result Trees.

Philip Bohannon, Sumit Ganguly, Henry F. Korth, P. P. S. Narayan, Pradeep Shenoy

Proceedings of 28th International Conference on Very Large Data Bases, 2002

Exploiting Local Similarity for Indexing Paths in Graph-Structured Data.

Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, Ehud Gudes

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

2000

Don't Trash your Intermediate Results, Cache 'em

Prasan Roy, Krithi Ramamritham, S. Seshadri, Pradeep Shenoy, S. Sudarshan

CoRR, 2000

Turbo-charging Vertical Mining of Large Databases.

Pradeep Shenoy, Jayant R. Haritsa, S. Sudarshan, Gaurav Bhalotia, Mayank Bawa, Devavrat Shah

Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000