performance prediction, neural architecture search
Performance prediction estimates architecture accuracy from features or partial training reducing search costs.
9,967 technical terms and definitions
Performance prediction estimates architecture accuracy from features or partial training reducing search costs.
Analyze code to find bottlenecks.
Estimate future technology performance.
Verify process performance.
Performance rate compares actual output to maximum possible at ideal cycle time.
Actual vs designed throughput.
AI suggests performance optimizations. Profile and improve.
Fast attention using kernel methods.
Performer approximates attention using random feature maps for linear complexity.
Fast attention using kernel methods.
Balls around edges only.
Final attachment after processing.
Predict membrane permeability.
Permutation invariant training resolves label ambiguity in multi-speaker separation through minimum assignment loss.
Permutation tests compute p-values by randomly reassigning group labels.
Design perovskite materials for solar cells.
Filter by language model perplexity.
Use perplexity to detect training contamination.
Perplexity measures how well probability distribution predicts sample.
Metric measuring how well model predicts text (lower is better).
Perplexity measures how well the model predicts tokens (lower is better). It is derived from cross-entropy loss used during training.
Perplexity = exp(cross-entropy loss). Lower is better. Measures how surprised model is by test data.
Maintain consistent personality.
Maintain consistent character personality across conversation.
Generate with specific persona.
Persona defines model character. Consistent behavior and knowledge. Custom assistants.
Learn personalized models while sharing knowledge.
Order items for each user.
Customize therapy for each patient.
Humans introducing particles or chemicals.
Google's toxicity detection.
Google's API for detecting toxic comments.
Consider situations from different viewpoints.
Program Evaluation and Review Technique schedules projects under uncertainty.
Pessimistic MDPs incorporate model uncertainty penalties preventing policy optimization from exploiting model errors in offline RL.
Probabilistic Ensemble with Trajectory Sampling uses ensembles of neural networks for uncertainty-aware planning in model-based RL.
Perfluorocompound abatement reduces greenhouse gas emissions from plasma etching and CVD through combustion or catalytic destruction.
PFC destruction efficiency measures percentage of perfluorocompounds converted by abatement systems.
Iterative attack projecting onto constraint set.
Projected Gradient Descent iteratively perturbs inputs within constraint set for strong adversarial attacks.
pgvector adds vectors to PostgreSQL. Stay in Postgres.
pH measurement monitors acidity or alkalinity of chemical solutions.
Identify key features for biological activity.
Phase change thermal interface materials soften at operating temperatures conforming to surfaces and solidifying for low thermal resistance.
Ensure correct crystal phase forms.
Predict stable phases.
Sudden capability emergence.
Abrupt changes in model behavior.
Use phase to improve resolution and depth of focus.
Phenaki generates variable-length videos from open-domain textual prompts.