quantization

DESIGNING STRONG BASELINES FOR TERNARY NEURAL NETWORK QUANTIZATION THROUGH SUPPORT AND MASS EQUALIZATION

FIGHTING OVER-FITTING WITH QUANTIZATION FOR LEARNING DEEP NEURAL NETWORKS ON NOISY LABELS

ECO-FEDSPLIT: FEDERATED LEARNING WITH ERROR-COMPENSATED COMPRESSION

INTEGER-ONLY ZERO-SHOT QUANTIZATION FOR EFFICIENT SPEECH RECOGNITION

THE IMPACT OF JPEG COMPRESSION ON PRIOR IMAGE NOISE

Low Precision Local Learning for Hardware-friendly Neuromorphic Visual Recognition

POWER-EFFICIENT HYBRID MIMO RECEIVER WITH TASK-SPECIFIC BEAMFORMING USING LOW-RESOLUTION ADCS

IMPQ: REDUCED COMPLEXITY NEURAL NETWORKS VIA GRANULAR PRECISION ASSIGNMENT

END-TO-END KEYWORD SPOTTING USING NEURAL ARCHITECTURE SEARCH AND QUANTIZATION