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🧠 Learned Compression

Neural Codecs, Deep Learning, Entropy Models, Rate-Distortion

Parsing Safetensors File Format in C
leetarxiv.substack.com·1d·
Discuss: Substack, r/programming
✅Format Verification
Fine-tune TabPFN on proprietary tabular data
medium.com·2d·
Discuss: Hacker News
📊Quantization
AtCoder Finals Problem Statement
atcoder.jp·11h·
Discuss: Hacker News
🇯🇵Japanese Computing
Students, here are 5 key things to know when learning how to train large language models
techradar.com·1d
💻Local LLMs
Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation
arxiv.org·1h
🎙️Whisper
Improving AVIF in Open Source
halide.cx·2d·
Discuss: Lobsters, Hacker News
🎬AV1 Encoding
Physics-Informed Transfer Learning for Data-Driven Sound Source Reconstruction in Near-Field Acoustic Holography
arxiv.org·1d
👂Psychoacoustic Coding
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis
arxiv.org·1h
⚙️Compression Benchmarking
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.to·2d·
Discuss: DEV
📊Learned Metrics
Agent Memory with Spring AI & Redis
dev.to·9h·
Discuss: DEV
⚡Redis Internals
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
arxiv.org·1h
📊Learned Metrics
Building an AI-Powered Image Search Engine with Daft.ai
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Mitigating Object Hallucinations via Sentence-Level Early Intervention
arxiv.org·1h
👂Psychoacoustic Coding
Machine Learning Fundamentals: dimensionality reduction example
dev.to·12h·
Discuss: DEV
📐Vector Dimensionality
Incomplete Multiview Learning via Wyner Common Information
arxiv.org·2d
⧗Information Bottleneck
An Adaptive Volatility-based Learning Rate Scheduler
arxiv.org·1d
🧠Machine Learning
Diffusion Decoding for Peptide De Novo Sequencing
arxiv.org·1d
🧮Kolmogorov Complexity
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
arxiv.org·2d
🧠Machine Learning
Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks
arxiv.org·1h
🧠Machine Learning
Data-Driven Matrix Recovery with High-Dimensional Noise via Optimal Shrinkage of Singular Values and Wavelet Shrinkage of Singular Vectors
arxiv.org·2d
📐Linear Algebra
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