activity
20112026
most citedDitto: Fair and Robust Federated Learning Through Personalization

219 citations · 513 across the 53 of their papers we have counts for

collaborators
Showing 2021Show all

9 papers · 1 filter

cs.CL2021

Database Search Results Disambiguation for Task-Oriented Dialog Systems

Kun Qian, Ahmad Beirami, Satwik Kottur +5

As task-oriented dialog systems are becoming increasingly popular in our lives, more realistic tasks have been proposed and explored. However, new practical challenges arise. For i…

cs.CL2021★ 4 cited

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics

Hyundong Cho, Chinnadhurai Sankar, Christopher Lin +5

Recent works that revealed the vulnerability of dialogue state tracking (DST) models to distributional shifts have made holistic comparisons on robustness and qualitative analyses…

cs.LG2021

Information-Theoretic Bayes Risk Lower Bounds for Realizable Models

Matthew Nokleby, Ahmad Beirami

We derive information-theoretic lower bounds on the Bayes risk and generalization error of realizable machine learning models. In particular, we employ an analysis in which the rat…

cs.LG2021

Federated Learning with Heterogeneous Differential Privacy

Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami

Federated learning (FL) takes a first step towards privacy-preserving machine learning by training models while keeping client data local. Models trained using FL may still leak pr…

cs.LG2021★ 3 cited

Robustness through Data Augmentation Loss Consistency

Tianjian Huang, Shaunak Halbe, Chinnadhurai Sankar +5

While deep learning through empirical risk minimization (ERM) has succeeded at achieving human-level performance at a variety of complex tasks, ERM is not robust to distribution sh…

cs.LG2021★ 10 cited

On Tilted Losses in Machine Learning: Theory and Applications

Tian Li, Ahmad Beirami, Maziar Sanjabi +1

Exponential tilting is a technique commonly used in fields such as statistics, probability, information theory, and optimization to create parametric distribution shifts. Despite i…