MatrixTransformer – A Unified Framework for Matrix Transformations
news.ycombinator.com·18h·
Discuss: Hacker News
🕸️Tensor Networks
MedicalBERT: enhancing biomedical natural language processing using pretrained BERT-based model
arxiv.org·4h
📝Text Embeddings
VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations
arxiv.org·4h
📊Learned Metrics
One misclick away: How I found a critical vulnerability in a dating app
hame.page·55m·
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🚀Indie Hacking
Beyond the Dataset – Deep tech data science
aneeshsathe.com·3d·
Discuss: Hacker News
🏺Computational Archaeology
BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis
arxiv.org·4h
🗜️LZW Variants
Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
arxiv.org·4h
🕸️Mesh Networking
MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing
arxiv.org·4h
🤖Advanced OCR
Graph Convolutional Branch and Bound
arxiv.org·4h
🧮Vector Embeddings
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study
arxiv.org·4h
🧠Machine Learning
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·1d·
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⚡Performance Mythology
Show HN: I built an MCP tool to query anything with SQL (Apache Calcite)
github.com·17h·
Discuss: Hacker News
💾SQLite
Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone
arxiv.org·4h
📟Terminal Physics
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement
arxiv.org·4h
🧠Machine Learning
Reflecting on PLDI 2025
people.csail.mit.edu·16h·
Discuss: Hacker News
🌐Protocol Synthesis
A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
arxiv.org·4h
📊Search Ranking
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
arxiv.org·4h
🤐Secure Multiparty
Machine Learning Fundamentals: data augmentation tutorial
dev.to·1d·
Discuss: DEV
📊Feed Optimization
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
arxiv.org·4h
💻Local LLMs
Machine Learning Fundamentals: data augmentation with python
dev.to·1d·
Discuss: DEV
⚡Incremental Computation