5 citations · 8 across the 4 of their papers we have counts for
4 papers
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain +3
Deep learning-based recommendation systems (e.g., DLRMs) are widely used AI models to provide high-quality personalized recommendations. Training data used for modern recommendatio…
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing
Anthony Thomas, Behnam Khaleghi, Gopi Krishna Jha +5
Hyperdimensional computing (HDC) is a paradigm for data representation and learning originating in computational neuroscience. HDC represents data as high-dimensional, low-precisio…
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring
Yash Akhauri, J. Pablo Munoz, Nilesh Jain +1
Neural Architecture Search (NAS) has significantly improved productivity in the design and deployment of neural networks (NN). As NAS typically evaluates multiple models by trainin…
Robust Contrastive Active Learning with Feature-guided Query Strategies
Ranganath Krishnan, Nilesh Ahuja, Alok Sinha +3
We introduce supervised contrastive active learning (SCAL) and propose efficient query strategies in active learning based on the feature similarity (featuresim) and principal comp…