Discover and read the best of Twitter Threads about #StationaryRepresentation
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🧩Three intriguing concepts in the world of #DeepLearning: #BackwardCompatibility, #StationaryRepresentation, and #NeuralCollapse. Their connection may hold the key to better deep learning models with possibly novel ways to use them
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🤝Backward Compatibility enables matching internal feature representations from different neural networks. Stationary Representation maintains feature spatial configurations fixed during learning. How does Neural Collapse fit in?
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💥Neural Collapse is when feature representations converge towards a simpler structure during training. This fascinating phenomenon is strongly related to compatibility and stationary representation.
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