Pratik Mazumder

37 papers A* 3A 6B 1Misc 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Debiased incremental learning (DIL): A novel framework for mitigating bias in incremental learning. Knowl. Based Syst. Shubham Bagwari, Pratik Mazumder
2026	J	`jnl`	Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning. CoRR Jyotin Goel, Souvik Maji, Pratik Mazumder
2025	J	`jnl`	BLADE: Bias-Linked Adaptive DEbiasing. CoRR Piyush Arora, Navlika Singh, Vasubhya Diwan, Pratik Mazumder
2025	J	`jnl`	CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning. CoRR Rhythm Baghel, Souvik Maji, Pratik Mazumder
2024	A	`conf`	Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting. WACV Piyush Arora, Pratik Mazumder
2024	J	`jnl`	Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. Pratik Mazumder, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri
2023	J	`jnl`	Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting. CoRR Piyush Arora, Pratik Mazumder
2023	J	`jnl`	Leveraging joint incremental learning objective with data ensemble for class incremental learning. Neural Networks Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh
2023	J	`jnl`	Mitigate forgetting in few-shot class-incremental learning using different image views. Neural Networks Pratik Mazumder, Pravendra Singh
2022	—	`conf`	Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. ECCV (13) Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
2022	J	`jnl`	Attaining Class-level Forgetting in Pretrained Model using Few Samples. CoRR Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim
2022	J	`jnl`	Context extraction module for deep convolutional neural networks. Pattern Recognit. Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2022	J	`jnl`	Dual class representation learning for few-shot image classification. Knowl. Based Syst. Pravendra Singh, Pratik Mazumder
2022	A	`conf`	Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. WACV Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2022	J	`jnl`	Few-shot image classification with composite rotation based self-supervised auxiliary task. Neurocomputing Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2022	J	`jnl`	Protected attribute guided representation learning for bias mitigation in limited data. Knowl. Based Syst. Pratik Mazumder, Pravendra Singh
2021	A	`conf`	AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. WACV Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri
2021	J	`jnl`	Calibrating feature maps for deep CNNs. Neurocomputing Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim, Vinay P. Namboodiri
2021	J	`jnl`	DILF-EN framework for Class-Incremental Learning. CoRR Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh
2021	J	`jnl`	Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2021	A*	`conf`	Few-Shot Lifelong Learning. AAAI Pratik Mazumder, Pravendra Singh, Piyush Rai
2021	J	`jnl`	Few-Shot Lifelong Learning. CoRR Pratik Mazumder, Pravendra Singh, Piyush Rai
2021	A	`conf`	Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. WACV Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2021	A	`conf`	RNNP: A Robust Few-Shot Learning Approach. WACV Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2021	A*	`conf`	Rectification-Based Knowledge Retention for Continual Learning. CVPR Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
2021	J	`jnl`	Rectification-based Knowledge Retention for Continual Learning. CoRR Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri
2020	J	`jnl`	AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. CoRR Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri
2020	A	`conf`	Accuracy Booster: Performance Boosting using Feature Map Re-calibration. WACV Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2020	Misc	`conf`	CPWC: Contextual Point Wise Convolution for Object Recognition. ICASSP Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	A*	`conf`	Calibrating CNNs for Lifelong Learning. NeurIPS Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
2020	J	`jnl`	GIFSL - grafting based improved few-shot learning. Image Vis. Comput. Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	J	`jnl`	Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2020	B	`conf`	Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. IJCNN Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2020	J	`jnl`	Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. CoRR Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2020	J	`jnl`	RNNP: A Robust Few-Shot Learning Approach. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
2019	J	`jnl`	Accuracy Booster: Performance Boosting using Feature Map Re-calibration. CoRR Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
2019	J	`jnl`	CPWC: Contextual Point Wise Convolution for Object Recognition. CoRR Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri