Shenoy, Pradeep

25 publications

ICML 2025 Masked Generative Nested Transformers with Decode Time Scaling Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul

ICLRW 2025 Masked Generative Nested Transformers with Decode Time Scaling Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul

TMLR 2025 Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation Atharva Abhijit Tambat, Durga S, Ganesh Ramakrishnan, Pradeep Shenoy

ICLRW 2025 Universal LLM Routing with Correctness-Based Representation Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

ECCV 2024 Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty

CVPR 2024 Improving Generalization via Meta-Learning on Hard Samples Nishant Jain, Arun S. Suggala, Pradeep Shenoy

AAAI 2024 Instance-Conditional Timescales of Decay for Non-Stationary Learning Nishant Jain, Pradeep Shenoy

ICLR 2024 Learning Model Uncertainty as Variance-Minimizing Instance Weights Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy

ECCV 2024 OLAF: A Plug-and-Play Framework for Enhanced Multi-Object Multi-Part Scene Parsing Pranav Gupta, Rishubh Singh, Pradeep Shenoy, Ravi Kiran Sarvadevabhatla

AISTATS 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

WACV 2024 Using Early Readouts to Mediate Featural Bias in Distillation Rishabh Tiwari, Durga Sivasubramanian, Anmol Mekala, Ganesh Ramakrishnan, Pradeep Shenoy

AAAI 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning Durga Sivasubramanian, Ayush Maheshwari, Prathosh Ap, Pradeep Shenoy, Ganesh Ramakrishnan

CVPR 2023 Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy

AAAI 2023 Interactive Concept Bottleneck Models Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham

ICML 2023 Overcoming Simplicity Bias in Deep Networks Using a Feature Sieve Rishabh Tiwari, Pradeep Shenoy

IJCAI 2023 Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++ Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan

CVPR 2022 FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla

CVPR 2022 GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, Pradeep Shenoy

CVPR 2022 Robust Outlier Detection by De-Biasing VAE Likelihoods Kushal Chauhan, Barath Mohan U, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan

AAAI 2021 Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans Soumya Chatterjee, Pradeep Shenoy

NeurIPS 2012 Strategic Impatience in Go/NoGo Versus Forced-Choice Decision-Making Pradeep Shenoy, Angela J. Yu

NeurIPS 2010 A Rational Decision Making Framework for Inhibitory Control Pradeep Shenoy, Angela J. Yu, Rajesh P. Rao

CVPR 2008 Combining Brain Computer Interfaces with Vision for Object Categorization Ashish Kapoor, Pradeep Shenoy, Desney S. Tan

AAAI 2005 Real-Time Classification of Electromyographic Signals for Robotic Control Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao

NeurIPS 2004 Dynamic Bayesian Networks for Brain-Computer Interfaces Pradeep Shenoy, Rajesh P. Rao