Spectral Bottleneck in Deep Neural Networks: Noise is All You Need
arxiv.org·1d
👂Psychoacoustic Coding
Semantic Dictionary Encoding
falvotech.com·1d·
Discuss: Hacker News
🌀Brotli Dictionary
Automated Granular Keyword Clustering for Hyper-Targeted SEM Campaign Optimization
dev.to·7h·
Discuss: DEV
🔍BitFunnel
How to build AI scaling laws for efficient LLM training and budget maximization
news.mit.edu·7h
🧠Intelligence Compression
SpecVLM: Fast Speculative Decoding in Vision-Language Models
arxiv.org·18h
🧠Neural Compression
Decoupling Search and Learning in Neural Net Training
arxiv.org·18h
🧠Learned Indexing
Language Models Pack Billions of Concepts into 12,000 Dimensions
nickyoder.com·1d·
Discuss: Lobsters, Hacker News
🧮Kolmogorov Complexity
CLAIRE: A Dual Encoder Network with RIFT Loss and Phi-3 Small Language Model Based Interpretability for Cross-Modality Synthetic Aperture Radar and Optical Land...
arxiv.org·18h
🧠Machine Learning
Automated Sensory Attenuation Protocol Optimization via Dynamic Network Pruning
dev.to·2h·
Discuss: DEV
📊Learned Metrics
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
arxiv.org·1d
💻Local LLMs
Detectability Thresholds for Network Attacks on Static Graphs and Temporal Networks: Information-Theoretic Limits and Nearly-Optimal Tests
arxiv.org·18h
🧮Kolmogorov Complexity
Learning Neural Networks by Neuron Pursuit
arxiv.org·18h
🧠Machine Learning
Robustifying Diffusion-Denoised Smoothing Against Covariate Shift
arxiv.org·18h
📊Rate-Distortion Theory
Mutual Information Tracks Policy Coherence in Reinforcement Learning
arxiv.org·1d
📈Entropy Estimation
The Unseen Variable: Why Your LLM Gives Different Answers (and How We Can Fix It)
hackernoon.com·13h
💻Local LLMs
Vectorization in Python for Machine Learning
dev.to·3h·
Discuss: DEV
⚡SIMD Vectorization
LLM Rerankers for RAG: A Practical Guide
fin.ai·2d·
Discuss: Hacker News, Hacker News
🔍Information Retrieval
RadarLLM: Adapting Pretrained Large Language Models for Marine Radar Target Detection with Preference-aware Loss
arxiv.org·18h
🎵Audio ML
FACTORS: Factorial Approximation for Complementary Two-factor Optimization with Risk-aware Scoring
arxiv.org·18h
🧠Machine Learning
SMILE: A Super-resolution Guided Multi-task Learning Method for Hyperspectral Unmixing
arxiv.org·18h
🧠Machine Learning