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Found 6 papers, 5 papers with code
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
In addition to making the codebase more modular and easy to navigate, we have made changes to incorporate different transformers in the question embedding module.
[Re] Training Binary Neural Networks using the Bayesian Learning Rule
When we tried this in a semantic segmentation context, we found that the results were very underwhelming and in contrast with the seemingly good results by the STE optimizer even with much hyperparameter tuning.
Stochastic Talking Face Generation Using Latent Distribution Matching
Indeed, just having the ability to generate a single talking face would make a system almost robotic in nature.
Speech Prediction in Silent Videos using Variational Autoencoders
Understanding the relationship between the auditory and visual signals is crucial for many different applications ranging from computer-generated imagery (CGI) and video editing automation to assisting people with hearing or visual impairments.
Multilogue-Net: A Context-Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation
Sentiment Analysis and Emotion Detection in conversation is key in several real-world applications, with an increase in modalities available aiding a better understanding of the underlying emotions.
Ranked #6 on
Multimodal Sentiment Analysis
on MOSI
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation
Sentiment Analysis and Emotion Detection in conversation is key in several real-world applications, with an increase in modalities available aiding a better understanding of the underlying emotions.
Ranked #4 on
Multimodal Sentiment Analysis
on CMU-MOSEI
Emotion Recognition in Conversation
Multimodal Emotion Recognition
+1
