1-bit Quantization, Hamming Distance, Sparse Representations, Memory Efficiency
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·10h
Iterative Quantum Feature Maps
arxiv.org·10h
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·19h
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.org·1d
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
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