Deep learning techniques

Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching

Adaptive Scale and Spatial Aggregation for Real-time Object Detection

SHUFFLEAUGMENT: A DATA AUGMENTATION METHOD USING TIME SHUFFLING

Receptive Field Reliant Zero-Cost Proxies for Neural Architecture Search

INTER-SCALE SURE-LET DENOISE WITH STRUCTURED DEEP IMAGE PRIOR: INTERPRETABLE SELF-SUPERVISED LEARNING

Newton-based Trainable Learning Rate

MULTI-RESOLUTION SEQUENCE AGGREGATION AND MODEL AGNOSTIC FRAMEWORK FOR TIME SERIES FORECASTING

WATER LEAK DETECTION AND LOCALIZATION USING CONVOLUTIONAL AUTOENCODERS

SLICER: Learning universal audio representations using low-resource self-supervised pre-training

DEEP PROXIMAL GRADIENT METHOD FOR LEARNED CONVEX REGULARIZERS

Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies

Improved Projection Learning for Lower Dimensional Feature Maps