Introduction to Artificial Neural Networks – Part 1 (2013)
theprojectspot.com·9h·
Discuss: Hacker News
🧠Machine Learning
Adversarial Examples Are Not Bugs, They Are Superposition
livgorton.com·18h·
Discuss: Hacker News
🧠Machine Learning
Why Stacking Sliding Windows Can't See Far
guangxuanx.com·8h·
Discuss: Hacker News
🧮Kolmogorov Complexity
CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering
arxiv.org·9h
🔍Information Retrieval
Flatness-aware Curriculum Learning via Adversarial Difficulty
arxiv.org·9h
📊Learned Metrics
HAEPO: History-Aggregated Exploratory Policy Optimization
arxiv.org·9h
🧠Machine Learning
A Laplace diffusion-based transformer model for heart rate forecasting within daily activity context
arxiv.org·1d
🎙️Whisper
Dual Orthogonal Guidance for Robust Diffusion-based Handwritten Text Generation
arxiv.org·1d
🤖Advanced OCR
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
arxiv.org·1d
🧠Machine Learning
M^3-GloDets: Multi-Region and Multi-Scale Analysis of Fine-Grained Diseased Glomerular Detection
arxiv.org·1d
🕳️Persistent Homology
WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search
arxiv.org·9h
🗂️Vector Databases
COVID19 Prediction Based On CT Scans Of Lungs Using DenseNet Architecture
arxiv.org·1d
🕸️Algebraic Topology
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
arxiv.org·9h
📊Quantization
8 Tool Tech Stack to Build an Enterprise-Grade RAG System (Without the Headaches)
dev.to·4h·
Discuss: DEV
🌀Brotli Internals
Attention Mechanism in Randomized Time Warping
arxiv.org·2d
📊Learned Metrics
A Closer Look at Edema Area Segmentation in SD-OCT Images Using Adversarial Framework
arxiv.org·9h
📊Learned Metrics
Of the People, By the Algorithm: How AI Transforms Democratic Representation
arxiv.org·9h
🌍Cultural Algorithms
Federated Learning with Heterogeneous and Private Label Sets
arxiv.org·9h
💻Local LLMs
scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning
arxiv.org·9h
🧠Machine Learning
How Retrieval Algorithms Shape Better LLM Responses?
dev.to·1d·
Discuss: DEV
🔍Information Retrieval