NeuralProphet Explainable Forecasting at Scale Byte Sized Breakthroughs 08/07/2024 Listen "NeuralProphet Explainable Forecasting at Scale" Reproducir Descargar episodio Ver en sitio original Episode Synopsis '_Successor_' of Prophet (by facebook) for time series modelling. Read full paper: https://arxiv.org/abs/2111.15397 Tags: Deep Learning, Machine Learning, Explainable AI More episodes of the podcast Byte Sized Breakthroughs TransAct Transformer-based Realtime User Action Model for Recommendation at Pinterest 08/07/2024 Zero Bubble Pipeline Parallelism 08/07/2024 The limits to learning a diffusion model 08/07/2024 A Better Match for Drivers and Riders Reinforcement Learning at Lyft 08/07/2024 AutoEmb Automated Embedding Dimensionality Searchg in Streaming Recommendations 08/07/2024 No-Transaction Band Network A Neural Network Architecture for Efficient Deep Hedging 08/07/2024 ZeRO Memory Optimizations: Toward Training Trillion Parameter Models 08/07/2024 DriveVLM: Vision-Language Models for Autonomous Driving in Urban Environments 18/07/2024 Robustness Evaluation of HD Map Constructors under Sensor Corruptions for Autonomous Driving 18/07/2024 RT-DETR: Real-Time Object Detection with Transformer 18/07/2024 Ver todos los episodios Share Facebook Twitter LinkedIn