lars, lars, optimization
Scale learning rate per layer for large batches.
442 technical terms and definitions
Scale learning rate per layer for large batches.
Direct solid analysis.
Laser annealing melts near-surface regions for ultra-shallow junction formation with minimal thermal budget.
Use laser to heat and activate dopants in very thin surface layer.
Use laser to release temporary bond.
Laser-based focused ion beam alternatives use pulsed lasers for material removal avoiding gallium contamination in failure analysis.
Precise distance measurement using light.
Mark packages with laser.
Laser-based mask writing.
Use laser to fix mask defects.
Non-contact surface inspection.
Use laser for ionization.
Laser voltage probing measures internal node voltages non-invasively through electro-optic or thermal effects.
Non-contact voltage measurement.
Parasitic thyristor activation causing high current and potential damage.
Current needed to trigger latchup.
Test for parasitic thyristor triggering.
Late fusion processes modalities separately then combines predictions or representations at output.
Combine predictions at end.
Interact embeddings at fine granularity.
Track response time distribution.
Latency prediction models estimate inference time from architecture specifications guiding hardware-aware NAS.
Tolerate variable delays.
Latency is delay between request and response in system interactions.
Time delay between request and response start.
Latency = time from request to first token. Optimize by: smaller models, quantization, KV-cache, faster GPUs, and efficient serving.
Fast sampling in latent space.
Latent defects don't cause immediate failure but degrade reliability leading to early field failures.
Defect that causes later failure.
Diffusion in compressed latent space.
Run diffusion in compressed latent space for efficiency (Stable Diffusion).
Latent diffusion models perform diffusion in compressed latent space reducing computational cost.
Latent directions are vectors in latent space corresponding to semantic attributes.
Hidden damage appearing later.
Defects not caught by test.
Neural ODEs in latent space for irregular time series.
Add/subtract concepts in latent space.
Combine latent codes with arithmetic operations.
Separate independent factors.
Smooth transitions in latent space.
Latent space interpolation smoothly transitions between generated samples.
Smoothly transition between samples.
Edit by moving in latent space.
Explore latent space systematically.
Upscale in latent space.
Monitor in reduced space.
Learn compact representations of environment dynamics.
Efficient sampling of high-dimensional space.
Different learning rates for different depths.
Layer distillation matches intermediate representations. Hint layers guide student learning.