Abstract: Dataset distillation (DD) aims to accelerate the training speed of neural networks (NNs) by synthesizing a reduced dataset. NNs trained on the smaller dataset are expected to obtain almost ...
Chinese AI company MiniMax has released M2.5, an open-weights model under MIT license that can autonomously plan and execute tasks without constant human guidance. In benchmarks, M2.5 scores 80.2% on ...
Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
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