🧠 Neural Compression - matmat · Scour

On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors 🌀Fractal Compression

arxiv.org·6d

Intel introduces its own Neural Compression technology with a fallback mode that works on GPUs without dedicated AI cores — early performance is on the level of Nvidia NTC ⚡Compression Hardware

tomshardware.com

·6d

Compression, Prediction, and Scale 🧠Machine Learning

medium.com

·4d

ANTIC: Adaptive Neural Temporal In-situ Compressor 🧠Learned Compression

arxiv.org·1d

Neural networks for Text-to-Speech evaluation 🎧Learned Audio

arxiv.org·1d

Efficient Learned Data Compression via Dual-Stream Feature Decoupling 🌊Streaming Compression

arxiv.org·5d

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression 📊Quantization

arxiv.org·6d

Small Vision-Language Models are Smart Compressors for Long Video Understanding 🧠Neural Codecs

arxiv.org·4d

TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders 🧠Learned Compression

arxiv.org·5d

Controllable Generative Video Compression 🧠Learned Codecs

arxiv.org·5d

Compression as an Adversarial Amplifier Through Decision Space Reduction 🧠Learned Compression

arxiv.org·5d

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees 📊Quantization

arxiv.org·5d

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression 🧠Neural Codecs

arxiv.org·5d

Learning is Forgetting: LLM Training As Lossy Compression 💻Local LLMs

arxiv.org·4d

CI-ICM: Channel Importance-driven Learned Image Coding for Machines ⧗Information Bottleneck

arxiv.org·6d

Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization 📊Quantization

arxiv.org·4d

DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning 📊Rate-Distortion Theory

arxiv.org·4d

Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss 📊Rate-Distortion Theory

arxiv.org·4d

Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models 🧠Learned Codecs

arxiv.org·6d

Variational Feature Compression for Model-Specific Representations 🧠Neural Codecs

arxiv.org·5d

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