16 citations · 25 across the 5 of their papers we have counts for
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cs.RO2022
ToolTango: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis
Shreshth Tuli, Rajas Bansal, Rohan Paul +1
Robots assisting us in environments such as factories or homes must learn to make use of objects as tools to perform tasks, for instance using a tray to carry objects. We consider…
stat.ML2022★ 16 cited
Learning Backward Compatible Embeddings
Weihua Hu, Rajas Bansal, Kaidi Cao +3
Embeddings, low-dimensional vector representation of objects, are fundamental in building modern machine learning systems. In industrial settings, there is usually an embedding tea…
cs.CL2022★ 6 cited
A Survey on Bias and Fairness in Natural Language Processing
Rajas Bansal
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. While these models un…