conftrace_
← Learning Types
Deep Learning › Learning Types ›

Multi-Modal Learning

3,301 papers

Papers per year

1
10
226
883
'10
'15
'20
'25

Papers

Image Pivoting for Learning Multilingual Multimodal Representations EMNLP 2017
Extracting Visual Knowledge from the Web with Multimodal Learning IJCAI 2017
MAT: A Multimodal Attentive Translator for Image Captioning IJCAI 2017
Combining Models from Multiple Sources for RGB-D Scene Recognition IJCAI 2017
Learning Weakly Supervised Multimodal Phoneme Embeddings INTERSPEECH 2017
openXBOW -- Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit JMLR 2017
Review Networks for Caption Generation NIPS 2016
Multimodal Residual Learning for Visual QA NIPS 2016
Learning What and Where to Draw NIPS 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
Generating Video Description using Sequence-to-sequence Model with Temporal Attention COLING 2016
Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs COLING 2016
What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016
Collaborative Quantization for Cross-Modal Similarity Search CVPR 2016
Aggregating Image and Text Quantized Correlated Components CVPR 2016
Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras CVPR 2016
MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016
Cross Modal Distillation for Supervision Transfer CVPR 2016
Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition CVPR 2016
Temporal Multimodal Learning in Audiovisual Speech Recognition CVPR 2016
Where to Look: Focus Regions for Visual Question Answering CVPR 2016
TGIF: A New Dataset and Benchmark on Animated GIF Description CVPR 2016
Yin and Yang: Balancing and Answering Binary Visual Questions CVPR 2016
Deep Canonical Time Warping CVPR 2016