🧠 Learned Compression - matmat · Scour

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

Transformers 📝Text Embeddings

chizkidd.github.io·3d·Hacker News

The Deep Learning Trio: Decoding ANN vs. CNN vs. RNN 📊Quantization

Verified Deep Learning with Lean 4 ⚔️Lean Tactics

brettkoonce.github.io·4d·Hacker News

Modular Deep Learning for Direct RNA Sequence Design via Self-Contained RNA Units 🧠Learned Codecs

biorxiv.org·6d

Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement 📊Quantization

There Will Be a Scientific Theory of Deep Learning 🧠Machine Learning

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts ⧗Information Bottleneck

Anchor-Aided Multi-User Semantic Communication with Adaptive Decoders ℹ️Information Theory

Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach 🎧Learned Audio

Explicit Dropout: Deterministic Regularization for Transformer Architectures 🧠Machine Learning

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

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

Neural Garbage Collection: Learning to Forget while Learning to Reason 🧠Machine Learning

Incremental learning for audio classification with Hebbian Deep Neural Networks 🎧Learned Audio

Silicon Aware Neural Networks 🖥️Hardware Architecture

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis 📊Learned Metrics

Scalable Memristive-Friendly Reservoir Computing for Time Series Classification ⚡Homebrew CPUs

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

LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models 💻Local LLMs

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