Pradeep Shenoy

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 34

Top Topics

Information Seeking

Hierarchical Reinforcement Learning

Top Venues

Publications

Nishant Jain, Arun S. Suggala, Pradeep Shenoy
Improving Generalization via Meta-Learning on Hard Samples. CoRR (2024)
Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. AISTATS (2024)
Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy
Learning model uncertainty as variance-minimizing instance weights. ICLR (2024)
Nishant Jain, Pradeep Shenoy
Instance-Conditional Timescales of Decay for Non-Stationary Learning. AAAI (2024)
Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
Using Early Readouts to Mediate Featural Bias in Distillation. WACV (2024)
Rishabh Tiwari, Pradeep Shenoy
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve. ICML (2023)
Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision. CVPR (2023)
Rishabh Tiwari, Pradeep Shenoy
Sifer: Overcoming simplicity bias in deep networks using a feature sieve. CoRR (2023)
Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy
Using Early Readouts to Mediate Featural Bias in Distillation. CoRR (2023)
Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++. IJCAI (2023)
Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Aniruddha S, Balaraman Ravindran, Pradeep Shenoy
Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning. AAMAS (2023)
Anuj Srivastava, Karm Patel, Pradeep Shenoy, Devarajan Sridharan
Rescuing referral failures during automated diagnosis of domain-shifted medical images. CoRR (2023)
Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan
Adaptive Mixing of Auxiliary Losses in Supervised Learning. AAAI (2023)
Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham
Interactive Concept Bottleneck Models. AAAI (2023)
Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. CoRR (2023)
Nishant Jain, Pradeep Shenoy
Selective classification using a robust meta-learning approach. CoRR (2022)
Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy
Robustifying Deep Vision Models Through Shape Sensitization. CoRR (2022)
Soumya Chatterjee, Aakriti Kumar, Pradeep Shenoy
Meta-Learning of Dynamic Policy Adjustments in Inhibitory Control Tasks. CogSci (2022)
Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Balaraman Ravindran, Pradeep Shenoy
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning. CoRR (2022)
Durga Sivasubramanian, Pradeep Shenoy, Prathosh AP, Ganesh Ramakrishnan
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing. CoRR (2022)
Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan
Robust outlier detection by de-biasing VAE likelihoods. CVPR (2022)
Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham
Interactive Concept Bottleneck Models. CoRR (2022)
Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. CVPR (2022)
Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava
Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition. CoRR (2022)
Nishant Jain, Pradeep Shenoy
Learning on non-stationary data with re-weighting. CoRR (2022)
Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing. CVPR (2022)
Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing. CoRR (2022)
Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++. CoRR (2022)
Kushal Chauhan, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan
Efficient remedies for outlier detection with variational autoencoders. CoRR (2021)
Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning. CoRR (2021)
Soumya Chatterjee, Pradeep Shenoy
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans. AAAI (2021)
Ananye Agarwal, Pradeep Shenoy, Mausam
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks. CoRR (2021)
Vishwajeet Agrawal, Pradeep Shenoy
Tracking what matters: A decision-variable account of human behavior in bandit tasks. CogSci (2021)
Soumya Chatterjee, Pradeep Shenoy
Model-agnostic Fits for Understanding Information Seeking Patterns in Humans. CoRR (2020)
Pradeep Shenoy, Angela J. Yu
Rational preference shifts in multi-attribute choice: what is fair? CogSci (2013)
Pradeep Shenoy, Angela J. Yu
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making. NIPS (2012)
Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu
A rational decision making framework for inhibitory control. NIPS (2010)
Pradeep Shenoy, Desney S. Tan
Human-aided computing: utilizing implicit human processing to classify images. CHI (2008)
David B. Grimes, Desney S. Tan, Scott E. Hudson, Pradeep Shenoy, Rajesh P. N. Rao
Feasibility and pragmatics of classifying working memory load with an electroencephalograph. CHI (2008)
Pradeep Shenoy, Kai J. Miller, Jeffrey G. Ojemann, Rajesh P. N. Rao
Generalized Features for Electrocorticographic BCIs. IEEE Trans. Biomed. Eng. 55 (1) (2008)
Pradeep Shenoy, Kai J. Miller, Beau Crawford, Rajesh P. N. Rao
Online Electromyographic Control of a Robotic Prosthesis. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric Horvitz
Complementary computing for visual tasks: Meshing computer vision with human visual processing. FG (2008)
Ashish Kapoor, Pradeep Shenoy, Desney S. Tan
Combining brain computer interfaces with vision for object categorization. CVPR (2008)
Kai J. Miller, Pradeep Shenoy, Marcel den Nijs, Larry B. Sorensen, Rajesh P. N. Rao, Jeffrey G. Ojemann
Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification. IEEE Trans. Biomed. Eng. 55 (5) (2008)
Kai J. Miller, Marcel den Nijs, Pradeep Shenoy, John W. Miller, Rajesh P. N. Rao, Jeffrey G. Ojemann
Real-time functional brain mapping using electrocorticography. NeuroImage 37 (2) (2007)
Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao
Real-Time Classification of Electromyographic Signals for Robotic Control. AAAI (2005)
Pradeep Shenoy, Rajesh P. N. Rao
Dynamic Bayesian Networks for Brain-Computer Interfaces. NIPS (2004)
Jayant Madhavan, Philip A. Bernstein, Kuang Chen, Alon Y. Halevy, Pradeep Shenoy
Corpus-based Schema Matching. IIWeb (2003)
Philip Bohannon, Xin Dong, Sumit Ganguly, Henry F. Korth, Chengkai Li, P. P. S. Narayan, Pradeep Shenoy
ROLEX: Relational On-Line Exchange with XML. SIGMOD Conference (2003)
Philip Bohannon, Sumit Ganguly, Henry F. Korth, P. P. S. Narayan, Pradeep Shenoy
Optimizing View Queries in ROLEX to Support Navigable Result Trees. VLDB (2002)
Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, Ehud Gudes
Exploiting Local Similarity for Indexing Paths in Graph-Structured Data. ICDE (2002)
Raghav Kaushik, Philip Bohannon, Jeffrey F. Naughton, Pradeep Shenoy
Updates for Structure Indexes. VLDB (2002)
Pradeep Shenoy, Jayant R. Haritsa, S. Sudarshan, Gaurav Bhalotia, Mayank Bawa, Devavrat Shah
Turbo-charging Vertical Mining of Large Databases. SIGMOD Conference (2000)
Prasan Roy, Krithi Ramamritham, S. Seshadri, Pradeep Shenoy, S. Sudarshan
Don't Trash your Intermediate Results, Cache 'em CoRR (2000)