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Found 3 papers, 2 papers with code
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Surprisingly, we find that vanilla Global MP performs very well against the SOTA techniques.
Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition
Video-based Unsupervised Domain Adaptation (VUDA) methods improve the robustness of video models, enabling them to be applied to action recognition tasks across different environments.
Learning Optimal Social Dependency for Recommendation
Social recommender systems exploit users' social relationships to improve the recommendation accuracy.
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