Publications
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
arXiv, v5, 2022
A Scavenger Hunt for Service Robots
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, and Peter Stone
ICRA, 2021
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts
Qiaohui Lin, Robert Lunde, Purnamrita Sarkar
arXiv, 2021
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates
De Huang, Jonathan Niles-Weed, Rachel Ward. arXiv, 2021
arXiv, 2021
Sequential Online Chore Division for Autonomous Vehicle Convoy Formation
Harel Yedidsion, Shani Alkoby, and Peter Stone
arXiv, 2021
Towards Long-Form Video Understanding
Chao-Yuan Wu, Philipp Krähenbühl
CVPR, 2021
Learning to Set Waypoints for Audio-Visual Navigation
C. Chen, S. Majumder, Z. Al-Halah, R. Gao, S. Ramakrishnan, K. Grauman
ICLR, 2021
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Prateek R. Srivastava, Purnamrita Sarkar, Grani A. Hanasusanto
arXiv, 2021
Dexterous Robotic Grasping with Object-Centric Visual Affordances
P. Mandikal and K. Grauman
ICRA, 2021
SPECTRE: Defending against backdoor attacks using robust covariance estimation
Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh
arXiv, 2021
Robust and Differentially Private Mean Estimation
Xiyang Liu, Weihao Kong, Sham Kakade, Sewoong Oh
arXiv, 2021
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
R. Gao and K. Grauman
CVPR, 2021
A Spectral Analysis of Dot-product Kernels
Meyer Scetbon, Zaid Harchaoui
AISTATS, 2021
A Superquantile Approach for Federated Learning with Heterogeneous Devices
Y. Laguel, K. Pillutla, J. Malick, Z. Harchaoui
CISS, 2021
Improved Graph Clustering
Yudong Chen, Sujay Sanghavi, Huan Xu
arXiv, 2021
Something New Versus Tried and True: Ensuring 'Innovative' AI is 'Good' AI
Stephen C. Slota, Kenneth R. Fleischmann, Sherri Greenberg, Nitin Verma, Brenna Cummings, Lan Li, Chris Shenefiel
Few-Shot Learning via Learning the Representation, Provably
Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei
ICLR, 2021
Scalable Multiagent Driving Policies For Reducing Traffic Congestion.
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone
AAMAS, 2021