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Found 5 papers, 5 papers with code
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
We explore the training dynamics of neural networks in a structured non-IID setting where documents are presented cyclically in a fixed, repeated sequence.
LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
In this paper we introduce LifelongMemory, a new framework for accessing long-form egocentric videographic memory through natural language question answering and retrieval.
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
To our knowledge, PTR is the first RL method that succeeds at learning new tasks in a new domain on a real WidowX robot with as few as 10 task demonstrations, by effectively leveraging an existing dataset of diverse multi-task robot data collected in a variety of toy kitchens.
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Robot learning holds the promise of learning policies that generalize broadly.
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling the data themselves.
