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Found 11 papers, 6 papers with code
FreeTalky: Don’t Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models.
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation
In the field of natural language processing, ensembles are broadly known to be effective in improving performance.
Multimodal Transformer With a Low-Computational-Cost Guarantee
Transformer-based models have significantly improved performance across a range of multimodal understanding tasks, such as visual question answering and action recognition.
FactKG: Fact Verification via Reasoning on Knowledge Graphs
KGs can be a valuable knowledge source in fact verification due to their reliability and broad applicability.
Do Language Models Understand Measurements?
Recent success of pre-trained language models (PLMs) has stimulated interest in their ability to understand and work with numbers.
Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer
To learn a multimodal semantic correlation in a quantized space, we combine VQ-VAE with a Transformer encoder and apply an input masking strategy.
Graph-Text Multi-Modal Pre-training for Medical Representation Learning
MedGTX uses a novel graph encoder to exploit the graphical nature of structured EHR data, and a text encoder to handle unstructured text, and a cross-modal encoder to learn a joint representation space.
FreeTalky: Don't Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models.
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
Modern deep learning-based models have seen outstanding performance improvement with speech enhancement tasks.
Multi-View Attention Network for Visual Dialog
To resolve the visual dialog task, a high-level understanding of various multimodal inputs (e. g., question, dialog history, and image) is required.
Ranked #11 on
Visual Dialog
on VisDial v0.9 val
Semi-supervised Disentanglement with Independent Vector Variational Autoencoders
We aim to separate the generative factors of data into two latent vectors in a variational autoencoder.
