| 2025 | ICML | Masked Generative Nested Transformers with Decode Time Scaling. | Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul |
| 2024 | AAAI | Instance-Conditional Timescales of Decay for Non-Stationary Learning. | Nishant Jain, Pradeep Shenoy |
| 2024 | AISTATS | 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 |
| 2024 | CVPR | Improving Generalization via Meta-Learning on Hard Samples. | Nishant Jain, Arun Sai Suggala, Pradeep Shenoy |
| 2024 | ECCV | OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing. | Pranav Gupta, Rishubh Singh, Pradeep Shenoy, Ravikiran Sarvadevabhatla |
| 2024 | ECCV | Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement. | Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty |
| 2024 | ICLR | Learning model uncertainty as variance-minimizing instance weights. | Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy |
| 2024 | WACV | Using Early Readouts to Mediate Featural Bias in Distillation. | Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy |
| 2023 | AAAI | Interactive Concept Bottleneck Models. | Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham |
| 2023 | AAAI | Adaptive Mixing of Auxiliary Losses in Supervised Learning. | Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan |
| 2023 | CVPR | Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision. | Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy |
| 2023 | ICML | Overcoming Simplicity Bias in Deep Networks using a Feature Sieve. | Rishabh Tiwari, Pradeep Shenoy |
| 2023 | IJCAI | Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++. | Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan |
| 2022 | CogSci | Meta-Learning of Dynamic Policy Adjustments in Inhibitory Control Tasks. | Soumya Chatterjee, Aakriti Kumar, Pradeep Shenoy |
| 2022 | CVPR | Robust outlier detection by de-biasing VAE likelihoods. | Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan |
| 2022 | CVPR | FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing. | Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla |
| 2022 | CVPR | GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. | Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy |
| 2021 | AAAI | Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans. | Soumya Chatterjee, Pradeep Shenoy |
| 2021 | CogSci | Tracking what matters: A decision-variable account of human behavior in bandit tasks. | Vishwajeet Agrawal, Pradeep Shenoy |
| 2013 | CogSci | Rational preference shifts in multi-attribute choice: what is fair? | Pradeep Shenoy, Angela J. Yu |
| 2008 | CHI | 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 |
| 2008 | CHI | Human-aided computing: utilizing implicit human processing to classify images. | Pradeep Shenoy, Desney S. Tan |
| 2008 | CVPR | Combining brain computer interfaces with vision for object categorization. | Ashish Kapoor, Pradeep Shenoy, Desney S. Tan |
| 2005 | AAAI | Real-Time Classification of Electromyographic Signals for Robotic Control. | Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao |
| 2003 | IJCAI | Corpus-based Schema Matching. | Jayant Madhavan, Philip A. Bernstein, Kuang Chen, Alon Y. Halevy, Pradeep Shenoy |
| 2003 | SIGMOD | ROLEX: Relational On-Line Exchange with XML. | Philip Bohannon, Xin Dong, Sumit Ganguly, Henry F. Korth, Chengkai Li, P. P. S. Narayan, Pradeep Shenoy |
| 2002 | ICDE | Exploiting Local Similarity for Indexing Paths in Graph-Structured Data. | Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, Ehud Gudes |
| 2002 | VLDB | Optimizing View Queries in ROLEX to Support Navigable Result Trees. | Philip Bohannon, Sumit Ganguly, Henry F. Korth, P. P. S. Narayan, Pradeep Shenoy |
| 2002 | VLDB | Updates for Structure Indexes. | Raghav Kaushik, Philip Bohannon, Jeffrey F. Naughton, Pradeep Shenoy |
| 2000 | SIGMOD | Turbo-charging Vertical Mining of Large Databases. | Pradeep Shenoy, Jayant R. Haritsa, S. Sudarshan, Gaurav Bhalotia, Mayank Bawa, Devavrat Shah |