Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.
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