Rishabh Jain

Extending Logic Explained Networks to Text Classification

2022 · arXiv (Cornell University)

Recently, Logic Explained Networks (LENs) have been proposed as explainable-by-design neural models providing logic explanations for their predictions. However, these models have only been applied to vision and tabular data, and they mostly favour the …

Optimizing CPU Performance for Recommendation Systems At-Scale

2023

Deep Learning Recommendation Models (DLRMs) are very popular in personalized recommendation systems and are a major contributor to the data-center AI cycles. Due to the high computational and memory bandwidth needs of DLRMs, specifically the …

A WAV2VEC2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition

2023 · IEEE Access

Despite recent advancements in deep learning technologies, Child Speech Recognition remains a challenging task. Current Automatic Speech Recognition (ASR) models require substantial amounts of annotated data for training, which is scarce. In this work, we …

From Information Overload to Intelligent Recommendation: The Power of Large Language Models

2024

The uneven growth in internet technologies and electronic information is giving birth to the information overload. Diverse algorithms handle the problem of information overload with uneven outcomes. Recent trends in recommender systems opens a challenge …