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
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
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar
arXiv, 2021
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
Yu-Sian Jiang, Garrett Warnell, and Peter Stone
AAMAS, 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, and Peter Stone
AAAI, 2021
Expected Value of Communication for Planning in Ad Hoc Teamwork
William Macke, Reuth Mirsky, and Peter Stone
AAAI, 2021
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care
Reuth Mirsky and Peter Stone
AAMAS, 2021