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Found 4 papers, 3 papers with code
Learning Backward Compatible Embeddings
We formalize the problem where the goal is for the embedding team to keep updating the embedding version, while the consumer teams do not have to retrain their models.
A Survey on Bias and Fairness in Natural Language Processing
As NLP models become more integrated with the everyday lives of people, it becomes important to examine the social effect that the usage of these systems has.
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
We introduce a novel neural model, termed TANGO, for predicting task-specific tool interactions, trained using demonstrations from human teachers instructing a virtual robot.
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
When compared to a graph neural network baseline, it achieves 14-27% accuracy improvement for predicting known tools from new world scenes, and 44-67% improvement in generalization for novel objects not encountered during training.
Robotics
