Mutual Information, Compression Bounds, Feature Selection, Rate-Distortion Theory
ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression
arxiv.org·1d
A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention
machinelearningmastery.com·11h
[2210.16877] On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
arxiv.org·1d
Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study
arxiv.org·1d
Real-Time, Low-Latency Surveillance Using Entropy-Based Adaptive Buffering and MobileNetV2 on Edge Devices
arxiv.org·1d
Computer Vision’s Annotation Bottleneck Is Finally Breaking
towardsdatascience.com·1d
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
arxiv.org·1d
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