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Found 4 papers, 1 papers with code
Efficient Video Classification Using Fewer Frames
We focus on building compute-efficient video classification models which process fewer frames and hence have less number of FLOPs.
Ranked #2 on
Video Classification
on YouTube-8M
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
ADEM(Lowe et al. 2017) formulated the automatic evaluation of dialogue systems as a learning problem and showed that such a model was able to predict responses which correlate significantly with human judgements, both at utterance and system level.
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
Ultrasound image compression by preserving speckle-based key information is a challenging task.
POLICY DRIVEN GENERATIVE ADVERSARIAL NETWORKS FOR ACCENTED SPEECH GENERATION
In this paper, we propose the generation of accented speech using generative adversarial networks.
