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Found 6 papers, 2 papers with code
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
This paper tackles two major problem settings for interpretability of audio processing networks, post-hoc and by-design interpretation.
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
This paper tackles post-hoc interpretability for audio processing networks.
Emotion Transfer Using Vector-Valued Infinite Task Learning
Style transfer is a significant problem of machine learning with numerous successful applications.
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
We tackle the problem of audiovisual scene analysis for weakly-labeled data.
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Audio-visual representation learning is an important task from the perspective of designing machines with the ability to understand complex events.
Content-based Video Indexing and Retrieval Using Corr-LDA
Existing video indexing and retrieval methods on popular web-based multimedia sharing websites are based on user-provided sparse tagging.
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