swin transformer,computer vision
Hierarchical vision transformer with shifted windows.
1,106 technical terms and definitions
Hierarchical vision transformer with shifted windows.
Transformer-based super-resolution.
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.
Execute program symbolically to explore paths.
Manipulate mathematical expressions symbolically.
Translate to formal logic then reason.
Quantization with/without zero-point offset.
Respect symmetries like rotation or translation.
Preserve Hamiltonian structure in dynamics.
Identify symptoms from text.
Synchronized attention jointly attends to audio and visual features at corresponding time steps.
Align representations across modalities.
Synchronizers safely transfer signals across clock domains reducing metastability probability.
Use synchrotron for advanced X-ray analysis.
Synflow zero-cost proxy scores architectures using synaptic flow capturing trainability without weight updates.
Encode grammatical structure.
Synthesis converts RTL to gate-level netlist. Maps logic to standard cells. First step toward physical chip.
Synthesizer learns attention weights directly without computing query-key products.
Generate attention without queries and keys.
Estimate ease of chemical synthesis.
Generate artificial data preserving privacy.
Create artificial training data using generative models.
Synthetic data artificially generates training examples preserving statistical properties.
Synthetic data generated by models augments training. Helps with rare cases, privacy, and scale.
Synthetic data generation preserves privacy. Train on fake data.
Recognize AI-generated content.
Create realistic synthetic medical data.
Generated reasoning examples.
System audits evaluate entire quality management system effectiveness.
Comprehensive documentation of AI system.
I can walk you through system design interviews or real architectures: load balancers, caching, sharding, and HA/failover.
High-level instructions for model behavior.
System messages set behavior guidelines and context for conversation.
Attempt to recover hidden system instructions.
System prompt sets model behavior and context. First message in conversation. Defines persona.
System prompt defines the model behavior (role, style, boundaries). It is the always-on instruction that user prompts must follow.
Predict system-level reliability.
System scaling improves performance through integration and architecture rather than shrinking.
Integrate multiple dies or components in single package.
Optimize across system architecture and technology.
Systematic defect patterns repeat predictably indicating equipment or design issues.
Systematic defects occur reproducibly at specific locations from design or process interactions.
Repeating defect patterns.
Systematic sampling selects every nth unit providing convenient coverage.
Repeating pattern across wafers.