Pratik Mazumder

Orcid: 0000-0003-1103-1884

According to our database1, Pratik Mazumder authored at least 22 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Rectification-Based Knowledge Retention for Task Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
Mitigate forgetting in few-shot class-incremental learning using different image views.
Neural Networks, August, 2023

Leveraging joint incremental learning objective with data ensemble for class incremental learning.
Neural Networks, April, 2023

Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting.
CoRR, 2023

2022
Context extraction module for deep convolutional neural networks.
Pattern Recognit., 2022

Dual class representation learning for few-shot image classification.
Knowl. Based Syst., 2022

Protected attribute guided representation learning for bias mitigation in limited data.
Knowl. Based Syst., 2022

Few-shot image classification with composite rotation based self-supervised auxiliary task.
Neurocomputing, 2022

Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Attaining Class-Level Forgetting in Pretrained Model Using Few Samples.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Calibrating feature maps for deep CNNs.
Neurocomputing, 2021

DILF-EN framework for Class-Incremental Learning.
CoRR, 2021

AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

RNNP: A Robust Few-Shot Learning Approach.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Improving Few-Shot Learning using Composite Rotation based Auxiliary Task.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Rectification-Based Knowledge Retention for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Few-Shot Lifelong Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
GIFSL - grafting based improved few-shot learning.
Image Vis. Comput., 2020

Accuracy Booster: Performance Boosting using Feature Map Re-calibration.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Calibrating CNNs for Lifelong Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

CPWC: Contextual Point Wise Convolution for Object Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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