🧠 Learned Codecs - matmat · Scour

Feedback-Driven Rate Control for Learned Video Compression 🧠Neural Compression

microsoft/onnxruntime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator 🌊Streaming Compression

Constructive Approaches to Perception-Aware Lossy Source Coding: Information-Theoretic Guidelines 📊Rate-Distortion Theory

AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization 💻Local LLMs

Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism 📊Rate-Distortion Theory

Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision 📊Learned Metrics

StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models 🧠Machine Learning

Improving Performance in Classification Tasks with LCEN and the Weighted Focal Differentiable MCC Loss 📊Learned Metrics

Silicon Aware Neural Networks 🖥️Hardware Architecture

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness 🦀Embedded Rust

EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs ⚡Incremental Computation

CSI Compression for Massive MIMO-OFDM: Mismatch-Aware Rate-Distortion Trade-offs 📐Compression Bounds

Do Masked Autoencoders Improve Downhole Prediction? An Empirical Study on Real Well Drilling Data 🌀Riemannian Computing

Subjective and Objective Quality-of-Experience Evaluation Study for Live Video Streaming 🎥Streaming Codecs

Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition 🌊Streaming Algorithms

Machine learning approaches to uncover the neural mechanisms of motivated behaviour: from ADHD to individual differences in effort and reward sensitivity 🧠Machine Learning

Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel 🧠Machine Learning

Machine Unlearning: A Comprehensive Survey 💻Local LLMs

From PhysioNet to Foundation Models -- A History and Potential Futures 🌐Archive Topology

Learning Affine-Equivariant Proximal Operators 🌀Riemannian Computing

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