Wrote a Beginner-Friendly Linear Regression Tutorial (with Full Code)
reddit.com·1d·
Discuss: r/programming
👩‍💻Programming
Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
arxiv.org·1d
🤖AI
Machine Learning Fundamentals: model overfitting with python
dev.to·3d·
Discuss: DEV
🧮Algorithms
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
arxiv.org·1h
🧮Algorithms
Positional Biases Shift as Inputs Approach Context Window Limits
arxiv.org·1h
🧮Algorithms
Automated Faro Scan Data Anomaly Detection via Deep Graph Neural Networks
dev.to·1d·
Discuss: DEV
🧮Algorithms
\(X\)-evolve: Solution space evolution powered by large language models
arxiv.org·1h
🤖AI
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
arxiv.org·1h
🧮Algorithms
Text Embedded Swin-UMamba for DeepLesion Segmentation
arxiv.org·1d
🧮Algorithms
MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer
arxiv.org·1h
🧮Algorithms
MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation
arxiv.org·1h
🤖AI
What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
arxiv.org·1h
🧮Algorithms
Continual Multiple Instance Learning for Hematologic Disease Diagnosis
arxiv.org·5d
🧮Algorithms
Personalized Biomechanical Modeling of Miniature Cardiac Tissues for Targeted Drug Delivery Optimization
dev.to·10h·
Discuss: DEV
🤖AI
VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation
arxiv.org·1h
🧮Algorithms
Automated Code Dependency Analysis & Remediation via Graph Neural Networks
dev.to·11h·
Discuss: DEV
🧮Algorithms
Quantized Graph Neural Networks for Enhanced Causal Dynamical Triangulation Simulations
dev.to·1h·
Discuss: DEV
🧮Algorithms
Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks
arxiv.org·1d
🤖AI
Robust Reinforcement Learning over Wireless Networks with Homomorphic State Representations
arxiv.org·1h
🧮Algorithms
How LLMs Transform Language into Vectors: The Power of Embeddings
dev.to·2d·
Discuss: DEV
🧮Algorithms