t-closeness, training techniques
T-closeness ensures sensitive attribute distribution within groups matches overall distribution.
653 technical terms and definitions
T-closeness ensures sensitive attribute distribution within groups matches overall distribution.
Distribution of sensitive attributes similar across groups.
Gate shape for high-frequency transistors.
Multivariate control chart.
T-tests compare means between groups or against reference values.
Zero-shot instruction-following model.
T0 trains models on prompted datasets converted to unified text-to-text format.
Lightweight control adapter.
Improved tokenization for ViT.
Treats all NLP tasks as text-to-text problems.
Test Analyze and Fix methodology systematically eliminates failure modes improving reliability.
Describe tabular data in text.
Tabnine is AI code completion. Local model option for privacy.
Tacotron is an end-to-end text-to-speech model that synthesizes speech from text using attention-based sequence-to-sequence learning.
Tacotron 2 improves on Tacotron by predicting mel-spectrograms with WaveNet vocoder for high-quality natural speech synthesis.
Target Attentive Graph Neural Networks apply target-aware attention to session graphs for improved next-item recommendation.
Robust design using orthogonal arrays.
Remove low-probability tail.
Take-back programs enable manufacturers to collect used products for recycling or proper disposal.
Takt time is available production time divided by customer demand rate setting pace.
Rate of customer demand.
Learn to redistribute attention across heads.
Tally sheets record event counts or observations for frequency analysis.
Tantalum nitride barrier.
Test Access Port controller is a state machine that interprets boundary scan instructions and controls test data register operations.
Tape-out: final design sent to foundry as GDSII file. Point of no return. Months to get chips back.
Standard widths 8mm 12mm 16mm etc.
Tapeout completes design sending data for mask fabrication.
Finalize design and send to foundry for mask making.
ARC layer on top of resist.
Target encoding uses target mean per category. Can leak information.
Target impedance specifies maximum allowable power distribution network impedance versus frequency ensuring acceptable voltage ripple.
Target speaker extraction isolates specific speaker from mixture using enrollment utterance.
Desired final wafer thickness.
Target tracking adjusts process aims as equipment drifts maintaining centered output.
Design to hit nominal not just meet specs.
Desired nominal value.
Source material being sputtered (metal alloy).
Task allocation assigns responsibilities to agents based on capabilities and load.
Combine high-level planning with motion.
Add/subtract task vectors.
Ensure fair task representation.
Task decomposition breaks complex goals into manageable subtasks.
Task diversity in instruction tuning exposes models to varied problem types.
Cluster related tasks.
Task instructions specify desired actions clearly guiding model behavior.
Tasks hurting each other's performance.
Use prompts to specify task.
Model identifying task from examples.
Direct inputs to task-specific modules.