sustainable materials, environmental & sustainability
Sustainable materials for semiconductor manufacturing consider environmental impact recyclability and supply chain sustainability.
3,145 technical terms and definitions
Sustainable materials for semiconductor manufacturing consider environmental impact recyclability and supply chain sustainability.
Sustainable sourcing selects suppliers based on environmental and social responsibility criteria.
Structural Vector Autoregression imposes causal ordering on VAR models for policy analysis and forecasting.
Compare layer representations.
Singular value decomposition compression represents matrices through truncated SVD.
SWE-Bench assesses agents on real-world software engineering tasks from GitHub.
Swish-gated linear unit activation.
Hierarchical vision transformer with shifted windows.
SwinIR applies Swin Transformer to image restoration tasks including super-resolution.
Smooth activation x*sigmoid(x).
Switch Transformer uses simplified routing to single expert per token.
Sparse MoE model with one expert per token.
Learn to select best normalization.
Switching state space models allow dynamics to change between discrete regimes capturing non-stationary behavior.
Quantization with/without zero-point offset.
Preserve Hamiltonian structure in dynamics.
Identify symptoms from text.
Align representations across modalities.
Synflow zero-cost proxy scores architectures using synaptic flow capturing trainability without weight updates.
Encode grammatical structure.
Synthesizer learns attention weights directly without computing query-key products.
Generate attention without queries and keys.
Estimate ease of chemical synthesis.
Synthetic data artificially generates training examples preserving statistical properties.
Create realistic synthetic medical data.
I can walk you through system design interviews or real architectures: load balancers, caching, sharding, and HA/failover.
Attempt to recover hidden system instructions.
Predict system-level reliability.
T-closeness ensures sensitive attribute distribution within groups matches overall distribution.
Zero-shot instruction-following model.
T0 trains models on prompted datasets converted to unified text-to-text format.
Lightweight control adapter.
Treats all NLP tasks as text-to-text problems.
Remove low-probability tail.
Take-back programs enable manufacturers to collect used products for recycling or proper disposal.
Learn to redistribute attention across heads.
Task allocation assigns responsibilities to agents based on capabilities and load.
Add/subtract task vectors.
Task decomposition breaks complex goals into manageable subtasks.
Task diversity in instruction tuning exposes models to varied problem types.
Pre-train for specific downstream task.
Taylor expansion pruning approximates loss change from removing weights using Taylor series.
TBATS combines Box-Cox transformation Fourier seasonality ARMA errors and trend for complex seasonal time series.
Physical parameters used in device/process simulation.
Temporal Convolutional Networks use dilated causal convolutions for sequence modeling with long effective history.
Training-free ensemble NAS combines multiple zero-cost proxies improving architecture evaluation reliability.
Teacher-student curriculum learning uses a teacher model to assess sample difficulty and guide curriculum design for student training.
General paradigm for distillation.
Teacher-student training transfers knowledge from complex to simple models through soft targets.
Intermediate model between teacher and student.