Neural Compression, Machine Learning, Rate-Distortion, Entropy Models
Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent
arxiv.org·3h
Quantization Meets Spikes: Lossless Conversion in the First Timestep via Polarity Multi-Spike Mapping
arxiv.org·1d
From Unstructured Data to RAG-Ready With Docling
thenewstack.io·18h
Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs
arxiv.org·1d
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
arxiv.org·3h
SLM4Offer: Personalized Marketing Offer Generation Using Contrastive Learning Based Fine-Tuning
arxiv.org·3h
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