MNIST Data Set (OpenCV
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Play with Generative Adversarial Networks (GANs) in the Browser
poloclub.github.io·1d·
Discuss: Hacker News
🧠Learned Codecs
See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
arxiv.org·1d
🧠Machine Learning
V-JEPA 2: Scaling V-JEPA
gonzoml.substack.com·16h·
Discuss: Substack
📊Quantization
From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
netflixtechblog.com·1d·
Discuss: Hacker News
📊Feed Optimization
Show HN: A short story on developing a long-context World-Model with no money
francesco215.github.io·12h·
Discuss: Hacker News
🧠Learned Codecs
Deep Dive: OpenAI's GPT-OSS
dev.to·3h·
Discuss: DEV
📊Quantization
Compute Where It Counts: a trainable LLM sparsity enabling 4x CPU speed
crystalai.org·2d·
Discuss: Hacker News
🌊Streaming Algorithms
Locality-aware Concept Bottleneck Model
arxiv.org·2d
⧗Information Bottleneck
Help Your Model Learn the True Signal
towardsdatascience.com·3d
🔍Vector Forensics
Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·3d·
Discuss: Hacker News
🌀Differential Geometry
What Hugging Face reveals about the data economy of fine-tuning
research.portexai.com·15h·
Discuss: Hacker News
🌀Brotli Internals
2025-08-19: Paper Summary: Reproducibility Study on Network Deconvolution
ws-dl.blogspot.com·3d·
Discuss: ws-dl.blogspot.com
🧠Learned Codecs
D3FNet: A Differential Attention Fusion Network for Fine-Grained Road Structure Extraction in Remote Perception Systems
arxiv.org·1d
🌀Riemannian Computing
Adversarial Attacks against Neural Ranking Models via In-Context Learning
arxiv.org·1d
📊Search Ranking
An Empirical Study on How Video-LLMs Answer Video Questions
arxiv.org·1d
⧗Information Bottleneck
Understanding Data Influence with Differential Approximation
arxiv.org·2d
🧠Machine Learning
Classification errors distort findings in automated speech processing: examples and solutions from child-development research
arxiv.org·1d
🧮Kolmogorov Bounds
Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction
arxiv.org·1d
🧠Machine Learning
Curriculum Approximate Unlearning for Session-based Recommendation
arxiv.org·1d
🤖Grammar Induction