Title |
|---|
 Continual Learning With Quasi-Newton MethodsIEEE Access (IEEE Access), 2021 |
 H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2025 |
 CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
 Theory on Mixture-of-Experts in Continual LearningInternational Conference on Learning Representations (ICLR), 2024 |
Targeting Negative Flips in Active Learning using Validation SetsBigData Congress [Services Society] (BSS), 2024 |
 Debiasing Mini-Batch Quadratics for Applications in Deep LearningInternational Conference on Learning Representations (ICLR), 2024 |
 Unified Gradient-Based Machine Unlearning with Remain Geometry
EnhancementNeural Information Processing Systems (NeurIPS), 2024 |
 Continual learning with the neural tangent ensembleNeural Information Processing Systems (NeurIPS), 2024 |
