Publication

Learning from Examples in Optical Imaging

Related publications (72)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Learning from Examples in Optical Imaging

Graph Chatbot

Chat with Graph Search

Algorithms for Efficient and Robust Distributed Deep Learning

Automatic table detection and classification in large-scale newspaper archives

Optimal recovery of unsecured debt via interpretable reinforcement learning

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

The importance/role of education in chemical engineering

Landscape and training regimes in deep learning

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

Improving Multi-agent Coordination by Learning to Estimate Contention

Improving Multi-agent Coordination by Learning to Estimate Contention

Automatic table detection and classification in large-scale newspaper archives

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Landscape and training regimes in deep learning

Algorithms for Efficient and Robust Distributed Deep Learning

Optimal recovery of unsecured debt via interpretable reinforcement learning

The importance/role of education in chemical engineering

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

Improving Multi-agent Coordination by Learning to Estimate Contention

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Improving Multi-agent Coordination by Learning to Estimate Contention