Unsupervised Learning NO. 489
newsletter.danielmiessler.com·15h
🗜️LZW Variants
NVIDIA's new AI tool enables precise editing of 3D scenes and photorealistic images
techxplore.com·1d·
Discuss: Hacker News
🤖Advanced OCR
IndexTTS2: Emotional duration-controlled autoregressive zero-shot text-to-speech
index-tts.github.io·1d·
Discuss: Hacker News
🎧Learned Audio
The AI Framework Trap
hackernoon.com·16h
⚡Proof Automation
Psychology-Driven Enhancement of Humour Translation
arxiv.org·9h
🧠Intelligence Compression
Brain Stroke Detection and Classification Using CT Imaging with Transformer Models and Explainable AI
arxiv.org·9h
🤖Advanced OCR
Continuous Spiking Graph Neural Networks
arxiv.org·9h
🕸️Graph Embeddings
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement
arxiv.org·1d
🧠Machine Learning
A Principled Framework for Multi-View Contrastive Learning
arxiv.org·5d
🧠Machine Learning
BURN: Backdoor Unlearning via Adversarial Boundary Analysis
arxiv.org·9h
🕵️Vector Smuggling
OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception
arxiv.org·1d
📐Projective Geometry
Uncensored Multi-Agent AI Debate System Locally with Knowledge Base Now with a UI! (Part 3)Full code.
dev.to·59m·
Discuss: DEV
📝ABNF Parsing
Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign
arxiv.org·9h
⚖️Feed Ranking
Dynamic Spiking Framework for Graph Neural Networks
arxiv.org·9h
🧠Machine Learning
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
arxiv.org·9h
🧠Machine Learning
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study
arxiv.org·1d
🧠Machine Learning
Te Ahorr\'e Un Click: A Revised Definition of Clickbait and Detection in Spanish News
arxiv.org·9h
⚖️Feed Ranking
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
arxiv.org·9h
✨Effect Handlers
Towards Spatial Audio Understanding via Question Answering
arxiv.org·9h
🎵Audio ML
What Matters Most? A Quantitative Meta-Analysis of AI-Based Predictors for Startup Success
arxiv.org·9h
🧠Machine Learning