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

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Bibliography

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

Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

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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