CPWC: Contextual Point Wise Convolution for Object Recognition. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (ICASSP, 2020)

Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution. - Pravendra Singh; Pratik Mazumder; Vinay P. Namboodiri (IJCNN, 2020)

Calibrating CNNs for Lifelong Learning. - Pravendra Singh; Vinay Kumar Verma; Pratik Mazumder; Lawrence Carin; Piyush Rai (NeurIPS, 2020)

Accuracy Booster: Performance Boosting using Feature Map Re-calibration. - Pravendra Singh; Pratik Mazumder; Vinay P. Namboodiri (WACV, 2020)

GIFSL - grafting based improved few-shot learning. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (Image Vis. Comput., 2020)

Few-Shot Lifelong Learning. - Pratik Mazumder; Pravendra Singh; Piyush Rai (AAAI, 2021)

Rectification-Based Knowledge Retention for Continual Learning. - Pravendra Singh; Pratik Mazumder; Piyush Rai; Vinay P. Namboodiri (CVPR, 2021)

Improving Few-Shot Learning using Composite Rotation based Auxiliary Task. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (WACV, 2021)

RNNP: A Robust Few-Shot Learning Approach. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (WACV, 2021)

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. - Pratik Mazumder; Pravendra Singh; Kranti Kumar Parida; Vinay P. Namboodiri (WACV, 2021)

DILF-EN framework for Class-Incremental Learning. - Mohammed Asad Karim; Indu Joshi; Pratik Mazumder; Pravendra Singh (CoRR, 2021)

Calibrating feature maps for deep CNNs. - Pravendra Singh; Pratik Mazumder; Mohammed Asad Karim; Vinay P. Namboodiri (Neurocomputing, 2021)

Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. - Pravendra Singh; Pratik Mazumder; Mohammed Asad Karim (ECCV (13), 2022)

Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (WACV, 2022)

Few-shot image classification with composite rotation based self-supervised auxiliary task. - Pratik Mazumder; Pravendra Singh; Vinay P. Namboodiri (Neurocomputing, 2022)

Protected attribute guided representation learning for bias mitigation in limited data. - Pratik Mazumder; Pravendra Singh (Knowl. Based Syst., 2022)

Dual class representation learning for few-shot image classification. - Pravendra Singh; Pratik Mazumder (Knowl. Based Syst., 2022)

Context extraction module for deep convolutional neural networks. - Pravendra Singh; Pratik Mazumder; Vinay P. Namboodiri (Pattern Recognit., 2022)

Leveraging joint incremental learning objective with data ensemble for class incremental learning. - Pratik Mazumder; Mohammed Asad Karim; Indu Joshi; Pravendra Singh (Neural Networks, 2023)

Mitigate forgetting in few-shot class-incremental learning using different image views. - Pratik Mazumder; Pravendra Singh (Neural Networks, 2023)

Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting. - Piyush Arora; Pratik Mazumder (WACV, 2024)

Rectification-Based Knowledge Retention for Task Incremental Learning. - Pratik Mazumder; Pravendra Singh; Piyush Rai; Vinay P. Namboodiri (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning. - Rhythm Baghel; Souvik Maji; Pratik Mazumder (CoRR, 2025)