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Pratik Mazumder

Rectification-Based Knowledge Retention for Task Incremental Learning
Context extraction module for deep convolutional neural networks
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
Rectification-Based Knowledge Retention for Continual Learning
RNNP: A Robust Few-Shot Learning Approach
Accuracy Booster: Performance Boosting using Feature Map Re-calibration
CPWC: Contextual Point Wise Convolution for Object Recognition
GIFSL - grafting based improved few-shot learning
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution

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