Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Learning Representations for Multimodal Data with Deep Belief Nets
Multimodal Deep Learning
Effective deep learning-based multi-modal retrieval
Improved Multimodal Deep Learning with Variation of Information
Multimedia data mining using deep learning
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
Cross-modal deep metric learning with multi-task regularization
New Techniques in Deep Representation Learning
Imagined visual representations as multimodal embeddings
Learning of Multimodal Representations With Random Walks on the Click Graph
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
Unsupervised learning of hierarchical representations with convolutional deep belief networks
Learning Shared Multimodal Embeddings with Unpaired Data.
Multimodal Deep Learning Library
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
An Overview of Multi-Task Learning in Deep Neural Networks
Unconstrained Multimodal Multi-Label Learning
Learning Representations Using Complex-Valued Nets
Learning Disentangled Multimodal Representations for the Fashion Domain
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks
Dense Multimodal Fusion for Hierarchically Joint Representation
Unsupervised Feature Learning with Discriminative Encoder
An overview of the HDF5 technology suite and its applications
1 c - k theory : notions and applications of a unified design theory .
Generalizing biomedical relation classification with neural adversarial domain adaptation
Histograms of oriented gradients for human detection