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Found 7 papers, 3 papers with code
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
With the extracted face sequences, we propose a multimodal facial expression-aware emotion recognition model, which leverages the frame-level facial emotion distributions to help improve utterance-level emotion recognition based on multi-task learning.
Ranked #9 on
Emotion Recognition in Conversation
on MELD
Emotion Recognition in Conversation
Facial Expression Recognition (FER)
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
Knowledge graph embeddings (KGE) have been validated as powerful methods for inferring missing links in knowledge graphs (KGs) that they typically map entities into Euclidean space and treat relations as transformations of entities.
Total Variation Regularization for Compartmental Epidemic Models with Time-Varying Dynamics
Compartmental epidemic models are among the most popular ones in epidemiology.
$hv$-Block Cross Validation is not a BIBD: a Note on the Paper by Jeff Racine (2000)
This note corrects a mistake in the paper "consistent cross-validatory model-selection for dependent data: $hv$-block cross-validation" by Racine (2000).
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm
We consider the problem of learning a high-dimensional but low-rank matrix from a large-scale dataset distributed over several machines, where low-rankness is enforced by a convex trace norm constraint.
Two Differentially Private Rating Collection Mechanisms for Recommender Systems
We design two mechanisms for the recommender system to collect user ratings.
Toward a Better Understanding of Leaderboard
The leaderboard in machine learning competitions is a tool to show the performance of various participants and to compare them.
