autoaugment, data augmentation
Search for best augmentation policy.
513 technical terms and definitions
Search for best augmentation policy.
AutoAugment learns augmentation policy. Automated data augmentation.
Autoclave testing applies steam pressure simulating extended humidity exposure.
High pressure steam aging.
High-pressure steam aging test.
Measure small angles precisely.
Handle time-series dependencies.
Autocorrelation functions measure correlation between time series observations at different lags.
Autoencoder-based forecasting learns compressed representations of time series for prediction.
Autoencoders detect anomalies through reconstruction error with normal patterns reconstructed better than anomalies.
Autoformer for time series decomposes trends and seasonal components using auto-correlation mechanism instead of point-wise attention.
Autoformer applies NAS to vision transformer design discovering efficient attention patterns and layer configurations.
AutoGen facilitates multi-agent conversations for complex task solving.
AutoGen and CrewAI orchestrate multiple agents that collaborate, debate, or specialize on subtasks.
AutoGPT demonstrates autonomous agent capabilities through iterative goal pursuit.
Autonomous agent that breaks goals into tasks.
Autograd automatically computes gradients. Backward pass through computation graph. Foundation of training.
Automatic Feature Interaction learning uses multi-head self-attention to model high-order feature combinations.
Map crystal orientations in TEM.
Fix bugs automatically.
ML-based defect categorization.
Use AI to verify facts at scale.
Fully automated content filtering.
Visual inspection of joints.
Use AI for logical reasoning.
Intelligently remove less important parts of context.
ML-based defect categorization.
Automatic evaluation uses metrics to assess outputs without human judgment.
Automatically decide which operations to run in lower precision.
Label music with genres moods.
Algorithm to discover effective prompts automatically.
Automatic prompt generation creates effective prompts algorithmically or through models.
Resume training after failure.
Automated machine learning: automatically select models hyperparameters and features.
Autonomous agents operate independently making decisions without human intervention.
Autonomous maintenance empowers operators to perform routine maintenance preventing deterioration.
Operators perform basic maintenance.
Autonomous vehicles use AI for perception, prediction, planning. Camera, LiDAR, radar fusion.
Autoregressive models detect anomalies through likelihood ratios or prediction errors on test sequences.
Combine autoregressive and diffusion approaches.
Flow models for sequential data.
Retrieval conditioned on previously generated tokens.
Autoscaling adjusts server count based on load. Scale up for traffic spikes, down for cost. Use metrics like queue depth.
Automatically learn slimmable networks.
AutoTVM automatically tunes operator implementations through machine learning-guided search.
AutoVC performs zero-shot voice conversion using information bottleneck autoencoders that disentangle speaker identity from content.
Auxiliary information like speaker embeddings or visual cues guides source separation.
Encourage balanced expert usage.
Audio-Visual HuBERT learns joint audio-visual speech representations through masked prediction enabling robust recognition under acoustic noise.
Availability rate is actual operating time divided by planned production time.