4 papers · 1 filter
RNNP: A Robust Few-Shot Learning Approach
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Learning from a few examples is an important practical aspect of training classifiers. Various works have examined this aspect quite well. However, all existing approaches assume t…
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri
This work presents a novel training technique for deep neural networks that makes use of additional data from a distribution that is different from that of the original input data.…
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
In this paper, we propose an approach to improve few-shot classification performance using a composite rotation based auxiliary task. Few-shot classification methods aim to produce…
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings
Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida +1
In this paper, we propose a novel approach for generalized zero-shot learning in a multi-modal setting, where we have novel classes of audio/video during testing that are not seen…