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July 17, 2022 Expo schedule » New in ML »

Timezone: America/New_York »

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 Wed Jul 20, 2022

Time Room 309
01:15 PM (Orals)
SA: Trustworthy Machine Learning
Tight and Robust Private Mean Estimation with Few Users
01:35 PM (Spotlights)
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
01:40 PM (Spotlights)
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
01:45 PM (Spotlights)
Sanity Simulations for Saliency Methods
01:50 PM (Spotlights)
Out-of-Distribution Detection with Deep Nearest Neighbors
01:55 PM (Spotlights)
Differentially Private Maximal Information Coefficients
02:00 PM (Orals)
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
02:20 PM (Spotlights)
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
02:25 PM (Spotlights)
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
02:30 PM (Spotlights)
Certified Adversarial Robustness Under the Bounded Support Set
02:35 PM (Spotlights)
Predicting Out-of-Distribution Error with the Projection Norm
02:40 PM (Spotlights)
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization