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Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

Publications associées (32)

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

Graph Chatbot

Chattez avec Graph Search

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Understanding generalization and robustness in modern deep learning

Machine Learning for Modeling Stock Returns

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Network time series forecasting in photovoltaics power production

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Topics in statistical physics of high-dimensional machine learning

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Understanding generalization and robustness in modern deep learning

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Machine Learning for Modeling Stock Returns

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Network time series forecasting in photovoltaics power production

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Topics in statistical physics of high-dimensional machine learning