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20 results for "learning"
- ai · arxiv/cs.LG · 4 min
ActiNet: Self-Supervised Model Improves Wrist Activity Classification
Open-source deep learning tool outperforms random forest baselines for extracting activity intensity from wearable accelerometer data in epidemiological research.
May 3, 2026 Read → - ai · arxiv/cs.AI · 3 min
LSTM and MFCC Features Detect Emotion in Speech at 99% Accuracy
Researchers combined mel-frequency analysis with recurrent neural networks to classify emotional states from audio, outperforming classical machine learning baselines.
Apr 30, 2026 Read → - ai · hackernoon · 2 min
Spam Filters Built the Foundation for Adversarial ML
Early inbox battles between spammers and filters created the first real-world adversarial machine learning laboratory, shaping defensive AI research.
Apr 29, 2026 Read → - engineering · arxiv/cs.LG · 8 min
Learning turbulence closures via nudging sidesteps solver backprop
A data-assimilation-inspired approach trains neural network turbulence models on DNS data without embedding them in solvers, reducing computational cost and improving stability.
Apr 28, 2026 Read → - ai · arxiv/cs.LG · 4 min
Neural networks unmix single Raman spectra without multiple samples
A brain-inspired deep learning model solves the underdetermined problem of identifying chemical components from one noisy mixed spectrum, enabling rapid substance detection.
Apr 27, 2026 Read → - ai · arxiv/cs.AI · 8 min
Trust-weighted SSL improves aerial image learning under corruption
Additive-residual trust weights boost self-supervised learning robustness when aerial images degrade, outperforming standard contrastive methods on benchmark datasets.
Apr 24, 2026 Read → - ai · arxiv/cs.AI · 8 min
Supervised Learning Has Built-In Geometric Blindness
Mathematical proof shows empirical risk minimization must preserve sensitivity to label-correlated but test-irrelevant features—a structural constraint, not a training bug.
Apr 24, 2026 Read → - ai · arxiv/cs.LG · 8 min
Simple graph models match deep learning for molecular prediction
Classical topological indices enhanced with regularization and ensemble methods outperform neural networks on molecular property benchmarks without GPU requirements.
Apr 23, 2026 Read → - engineering · arxiv/cs.LG · 8 min
Routing Optimization for Satellite Federated Learning: Tractable Boundaries
Researchers map which routing problems in orbital federated learning can be solved efficiently and which are computationally hard.
Apr 22, 2026 Read → - ai · arxiv/cs.LG · 8 min
Simpler Optimizers Make LLM Unlearning More Robust
Research shows that using lower-order optimization methods during LLM unlearning produces forgetting that resists post-training attacks better than sophisticated gradient-based approaches.
Apr 21, 2026 Read → - ai · arxiv/cs.LG · 8 min
Theory for learning blind inverse problems with finite samples
Researchers establish sample complexity bounds and optimal estimators for blind inverse problems using linear minimum mean square estimation framework.
Apr 21, 2026 Read → - ai · arxiv/cs.LG · 8 min
Chain-of-Thought Supervision Eliminates Sample Complexity Growth
New theoretical analysis shows intermediate reasoning steps remove dependence on generation length, while end-to-end learning scales unpredictably with sequence depth.
Apr 21, 2026 Read → - ai · arxiv/cs.LG · 4 min
Quantum-LSTM hybrid cuts physics model training data by 100×
Federated learning with quantum-enhanced LSTM achieves classical accuracy on SUSY classification using 20K samples instead of 2M, with under 300 parameters.
Apr 20, 2026 Read → - engineering · arxiv/cs.LG · 8 min
ML predicts nonlinear distortion in massive MIMO arrays
Machine learning models forecast signal degradation from power amplifier nonlinearity in 5G/6G systems, enabling 12% throughput gains via adaptive power allocation.
Apr 20, 2026 Read → - ai · arxiv/cs.AI · 4 min
AlphaCNOT: Planning-Based RL Cuts Quantum Gate Count by 32%
Researchers combine Monte Carlo Tree Search with reinforcement learning to minimize CNOT gates in quantum circuits, outperforming classical heuristics.
Apr 18, 2026 Read → - ai · arxiv/cs.AI · 4 min
TableNet: LLM-Driven Dataset for Table Structure Recognition
Researchers introduce an autonomous multi-agent system that generates synthetic tables at scale and uses active learning to train structure recognition models more efficiently.
Apr 17, 2026 Read → - engineering · arxiv/cs.AI · 5 min
Python Functions Replace Semantic Web Complexity for Ocean Data
ILIAD project wraps RDF/OWL ontology patterns in Python libraries, letting data scientists harmonise environmental data without learning Semantic Web syntax.
Apr 17, 2026 Read → - ai · arxiv/cs.AI · 4 min
Hybrid segmentation model improves fundus lesion detection accuracy
Combining classical clustering methods with deep learning achieves 89.7% accuracy on high-resolution eye images, outperforming standard U-Net approaches.
Apr 17, 2026 Read → - ai · arxiv/cs.AI · 5 min
Verifiable model unlearning on edge devices without retraining
ZK-APEX combines sparse masking and zero-knowledge proofs to let providers verify that personalized models forget targeted data while preserving local utility.
Apr 17, 2026 Read → - ai · arxiv/cs.LG · 8 min
Foundation Models vs. Task-Specific ML in Electricity Price Forecasting
Time series foundation models outperform traditional deep learning on probabilistic forecasts, but well-tuned conventional models remain competitive at lower computational cost.
Apr 17, 2026 Read →