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📊 Learned Metrics

Perceptual Loss, Neural Distance, Embedding Similarity, Content-aware Metrics

Rethinking Distributed Computing for the AI Era
cacm.acm.org·1d
⚡Incremental Computation
Good binding data is all you need
leashbio.substack.com·21h·
Discuss: Substack
🗂️Vector Databases
Unlock Gemini’s reasoning: A step-by-step guide to logprobs on Vertex AI
developers.googleblog.com·1d
⚡Proof Automation
KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation
arxiv.org·3d
🧠Intelligence Compression
Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers
arxiv.org·2d
💻Local LLMs
Using AI to replicate human experimental results: a motion study
arxiv.org·2d
💻Programming languages
Integrating Biological Knowledge for Robust Microscopy Image Profiling on De Novo Cell Lines
arxiv.org·1d
🕸️Algebraic Topology
Building a Sentiment Analysis Model
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
We Learned, They Learned: The Unwritten Rules of a Successful Online Classroom
hackernoon.com·2d
🗺️Competency Maps
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
arxiv.org·1d
🌀Hyperbolic Geometry
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis
arxiv.org·17h
⚙️Compression Benchmarking
Unveiling the Visual Rhetoric of Persuasive Cartography: A Case Study of the Design of Octopus Maps
arxiv.org·17h
📄PostScript
The Power of Certainty: How Confident Models Lead to Better Segmentation
arxiv.org·2d
🧠Machine Learning
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe
arxiv.org·2d
🧭Content Discovery
🛡️ Paladin-mini: Open-Source Grounding Model That Actually Works in Production
dev.to·10h·
Discuss: DEV
⚡Proof Automation
Capturing Unseen Spatial Extremes Through Knowledge-Informed Generative Modeling
arxiv.org·2d
🔲Cellular Automata
[P] Help with Contrastive Learning (MRI + Biomarkers) – Looking for Guidance/Mentor (Willing to Pay)
reddit.com·2d·
Discuss: r/MachineLearning
🎵Audio ML
A Brain Tumor Segmentation Method Based on CLIP and 3D U-Net with Cross-Modal Semantic Guidance and Multi-Level Feature Fusion
arxiv.org·2d
📄Text Segmentation
Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
arxiv.org·2d
📈Time Series
Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images
arxiv.org·2d
🤖Advanced OCR
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