Results for "continual learning"

Learns the score (∇ log p(x)) for generative sampling.

Assigning category labels to images.

Joint vision-language model aligning images and text.

Predicting future values from past observations.

End-to-end process for model training.

Centralized repository for curated features.

Running predictions on large datasets periodically.

Mathematical foundation for ML involving vector spaces, matrices, and linear transformations.

Using production outcomes to improve models.

Measures similarity and projection between vectors.

Ensuring AI systems pursue intended human goals.

Ensuring learned behavior matches intended objective.

Model behaves well during training but not deployment.

Using limited human feedback to guide large models.

Asking model to review and improve output.

Applying learned patterns incorrectly.

Train/test environment mismatch.

Model relies on irrelevant signals.

Startup latency for services.

Running models locally.

AI systems that perceive and act in the physical world through sensors and actuators.

Algorithm computing control actions.

Artificial environment for training/testing agents.

Randomizing simulation parameters to improve real-world transfer.

Performance drop when moving from simulation to reality.

Directly optimizing control policies.

Reward only given upon task completion.

Control shared between human and agent.

Inferring human goals from behavior.

Automated assistance identifying disease indicators.