Learning without Forgetting
PulseAugur coverage of Learning without Forgetting — every cluster mentioning Learning without Forgetting across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI research focuses on enabling models to forget information intentionally
Researchers are exploring methods for artificial intelligence systems to intentionally forget information, a capability that could enhance privacy and security. This is particularly relevant for AI models that continuou…
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New tuning methods teach LMMs skills without forgetting
Researchers have developed novel methods for fine-tuning large multimodal models (LMMs) to acquire new skills without degrading existing capabilities. By analyzing the output token distribution and identifying a 'counti…
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New methods balance stability and plasticity in neural networks
Researchers have developed new methods to improve sequential training for early-exiting neural networks, addressing the issue where new exits can degrade performance of earlier ones. The proposed techniques, inspired by…