Results for "data distribution"
Methods to protect model/data during inference (e.g., trusted execution environments) from operators/attackers.
Detecting unauthorized model outputs or data leaks.
Systematic error introduced by simplifying assumptions in a learning algorithm.
Neural networks that operate on graph-structured data by propagating information along edges.
Estimating parameters by maximizing likelihood of observed data.
Exact likelihood generative models using invertible transforms.
Two-network setup where generator fools a discriminator.
CNNs applied to time series.
Attention between different modalities.
End-to-end process for model training.
Running predictions on large datasets periodically.
Centralized repository for curated features.
Scaling law optimizing compute vs data.
Competitive advantage from proprietary models/data.
Model trained on its own outputs degrades quality.
Startup latency for services.
Storing results to reduce compute.
Software pipeline converting raw sensor data into structured representations.
Learning physical parameters from data.
Models estimating recidivism risk.
Finding mathematical equations from data.
Learning only from current policy’s data.
Learning a function from input-output pairs (labeled data), optimizing performance on predicting outputs for unseen inputs.
Reusing knowledge from a source task/domain to improve learning on a target task/domain, typically via pretrained models.
One complete traversal of the training dataset during training.
A parameterized function composed of interconnected units organized in layers with nonlinear activations.
Networks using convolution operations with weight sharing and locality, effective for images and signals.
Converting text into discrete units (tokens) for modeling; subword tokenizers balance vocabulary size and coverage.
Networks with recurrent connections for sequences; largely supplanted by Transformers for many tasks.
Letting an LLM call external functions/APIs to fetch data, compute, or take actions, improving reliability.