Adaptive Prediction and Planning for Safe and Effective Autonomous Vehicles
Vijay Govindarajan [2021]
Learning Predictive Models for Efficient Policy Learning
Huazhe Xu [2021]
Visual Content Creation by Generative Adversarial Networks
Samaneh Azadi [2021]
Adapting Across Domains by Aligning Representations and Images
Eric Tzeng [2020]
Compositionality and Modularity for Robot Learning
Coline Devin [2020]
Structured Models for Vision-and-Language Reasoning
Ronghang Hu [2020]
The Design of Dynamic Neural Networks for Efficient Learning and Inference
Xin Wang [2020]
End to End Learning in Autonomous Driving Systems
Yang Gao [2019]
Learning to Generalize via Self-Supervised Prediction
Deepak Pathak [2019]
Local and Adaptive Image-to-Image Learning and Inference
Evan Shelhamer [2019]
Visual Understanding through Natural Language
Lisa Hendricks [2019]
Transferrable Representations for Visual Recognition
Jeffrey Donahue [2017]
Adaptive Learning Algorithms for Transferable Visual Recognition
Judy Hoffman [2016]
Understanding and Designing Convolutional Networks for Local Recognition Problems
Jonathan Long [2016]
Visual Representations for Fine-grained Categorization
Ning Zhang [2015]
Anytime Recognition of Objects and Scenes
Sergey Karayev [2014]
Learning Semantic Image Representations at a Large Scale
Yangqing Jia [2014]
Learning with Parsimony for Large Scale Object Detection and Discovery
Hyun Oh Song [2014]
Finding Lost Children
Ashley Michelle Eden [2010]