DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome low, Greg S. Corrado, Jon Shlens low, Samy Bengio, Jeff Dean, Marc’Aurelio Ranzato low, Tomáš Mikolov
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- Distributed Representations of Sentences and Documents→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- [No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- Scalable and accurate deep learning with electronic health records→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- Learning Temporal Regularity in Video Sequences→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- Don't count, predict! A systematic comparison of context-counting vs. context-predicting …→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- DeViSE: A Deep Visual-Semantic Embedding Model→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
- DeViSE: A Deep Visual-Semantic Embedding Model→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- DeViSE: A Deep Visual-Semantic Embedding Model→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- DeViSE: A Deep Visual-Semantic Embedding Model→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Distributed Representations of Words and Phrases and their Compositionality→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
- Don't count, predict! A systematic comparison of context-counting vs. context-predicting …→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
- Don't count, predict! A systematic comparison of context-counting vs. context-predicting …→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Learning Temporal Regularity in Video Sequences→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- [No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the UglyLegacy edge — source detail unavailable
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| Domain Adaptation and Few-Shot Learning | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
| Advanced Image and Video Retrieval Techniques | Computer Science |
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