multi-armed bandit,reinforcement learning
Sequential decision making with exploration-exploitation tradeoff.
9,967 technical terms and definitions
Sequential decision making with exploration-exploitation tradeoff.
Parallel electron beams for faster writing.
Parallel beams for faster mask writing.
Single cell with multiple flip-flops.
Single tool with multiple process chambers for sequential steps.
Multi-channel separation exploits spatial information from microphone arrays for improved source isolation.
Train across cloud providers.
Use multiple control inputs.
Analyze design at all operating conditions.
Consider multiple factors.
Test on multiple crops of image.
Train on crops of different sizes.
Use multiple crops of different scales.
Multi-cycle paths intentionally take multiple clock periods for signal propagation.
Generate large images in parts.
Multi-domain recommendation jointly models user preferences across multiple domains leveraging shared patterns.
Multiple exits at different depths.
Multi-fidelity NAS evaluates architectures at different training lengths resolutions or data subsets for efficiency.
Parallel transistors sharing source/drain.
Use temporal information.
Use multiple frames for better flow.
Use temporal information for SR.
Handle multiple goals simultaneously.
Approaches to use multiple GPUs.
Efficient MHA implementation.
Combine information across documents.
Chain multiple reasoning steps across documents.
Multi-hop retrieval chains queries following references across documents.
Follow chains of reasoning across multiple document retrievals.
Multi-horizon forecasting predicts multiple future time steps simultaneously or autoregressively.
Variant using multiple closest updates.
Multi-layer power distribution networks use multiple metal layers in parallel reducing overall impedance.
Network predicting density and color.
Transfer multiple layers sequentially.
Complete multiple lines at once.
Use multiple imaging modes together.
Retrieve across modalities.
Distributed across machines.
Track multiple objects over time.
Optimize multiple material properties.
Optimize accuracy latency and size together.
Optimize competing goals simultaneously.
Develop process optimizing multiple goals.
Multi-objective recommendation balances competing goals like engagement revenue and user satisfaction simultaneously.
Conversations with multiple participants.
Split design into multiple masks for multi-patterning.
Use multiple litho-etch cycles to achieve finer pitch than single exposure.
Share wafer among multiple customers to reduce prototyping cost.
Share mask costs across designs.
Combine multiple prompts.