17 citations · 27 across the 4 of their papers we have counts for
5 papers
Generalizable Dense Reward for Long-Horizon Robotic Tasks
Silong Yong, Stephen Sheng, Carl Qi +6
Existing robotic foundation policies are trained primarily via large-scale imitation learning. While such models demonstrate strong capabilities, they often struggle with long-hori…
Efficient Conditional Pre-training for Transfer Learning
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush +3
Almost all the state-of-the-art neural networks for computer vision tasks are trained by (1) pre-training on a large-scale dataset and (2) finetuning on the target dataset. This st…
Predicting Economic Development using Geolocated Wikipedia Articles
Evan Sheehan, Chenlin Meng, Matthew Tan +5
Progress on the UN Sustainable Development Goals (SDGs) is hampered by a persistent lack of data regarding key social, environmental, and economic indicators, particularly in devel…
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng +4
Despite recent progress in computer vision, finegrained interpretation of satellite images remains challenging because of a lack of labeled training data. To overcome this limitati…
Learning to Interpret Satellite Images Using Wikipedia
Evan Sheehan, Burak Uzkent, Chenlin Meng +4
Despite recent progress in computer vision, fine-grained interpretation of satellite images remains challenging because of a lack of labeled training data. To overcome this limitat…