IPNET:Influential Prototypical Networks for Few Shot Learning

no code implementations • 19 Aug 2022 • Ranjana Roy Chowdhury, Deepti R. Bathula

Further, the influence factor of a sample is measured using MMD based on the shift in the distribution in the absence of that sample.

Few-Shot Learning

Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study

no code implementations • 1 Nov 2021 • Ranjana Roy Chowdhury, Deepti R. Bathula

Conventional PN attributes equal importance to all samples and generates prototypes by simply averaging the support sample embeddings belonging to each class.

Domain Adaptation Few-Shot Learning

FES: A Fast Efficient Scalable QoS Prediction Framework

no code implementations • 12 Mar 2021 • Soumi Chattopadhyay, Chandranath Adak, Ranjana Roy Chowdhury

One of the primary objectives of designing a QoS prediction algorithm is to achieve satisfactory prediction accuracy.

Collaborative Filtering Service Composition

CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering

no code implementations • 13 Jan 2020 • Ranjana Roy Chowdhury, Soumi Chattopadhyay, Chandranath Adak

On the one hand, the hybrid filtering method aims to obtain a set of similar users and services, given a target user and a service.