Accelerating DNN Training Through Selective Localized Learning von Krithivasan, Sarada, Sen, Sanchari, Venkataramani, Swagath, Raghunathan, Anand

Volltext

MixTrain: accelerating DNN training via input mixing von Krithivasan, Sarada, Sen, Sanchari, Venkataramani, Swagath, Raghunathan, Anand

Volltext

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs von Anand, Aditi, Krithivasan, Sarada, Roy, Kaushik

Volltext

Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks von Krithivasan, Sarada, Sen, Sanchari, Raghunathan, Anand

Volltext

DNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU von Sen, Sanchari, Jain, Shubham, Krithivasan, Sarada, Venkataramani, Swagath, Srinivasan, Vijayalakshmi

Volltext

An Accuracy Tunable Non-Boolean Co-Processor Using Coupled Nano-Oscillators von Gala, Neel, Krithivasan, Sarada, Tsai, Wei-Yu, Li, Xueqing, Narayanan, Vijaykrishnan, Kamakoti, V.

Volltext

Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks von Krithivasan, Sarada, Sen, Sanchari, Raghunathan, Anand

Volltext bestellen

Fused Convolutions for Fast Deep Neural Network von Venkataramani, Swagath, Srinivasan, Vijayalakshmi, Krithivasan, Sarada

Volltext bestellen

STICKIFICATION USING ANYWHERE PADDING TO ACCELERATE DATA MANIPULATION von VENKATARAMANI, Swagath, KRITHIVASAN, Sarada, SEN, Sanchari, JAIN, Shubham, SRINIVASAN, Vijayalakshmi

Volltext bestellen

Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks von Krithivasan, Sarada, Sen, Sanchari, Raghunathan, Anand

Volltext