research
∙
05/15/2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Large language models (LMs) are pretrained on diverse data sources: news...
share
research
∙
04/11/2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Federated Learning, as a popular paradigm for collaborative training, is...
research
∙
03/27/2023
Should Policymakers be Involved? Understanding the Opinions and Needs for Independent Food Delivery Platforms in the United States regarding Public Policy
Mainstream food delivery platforms, like DoorDash and Uber Eats, have be...
research
∙
03/20/2023
Agent-based Simulation for Online Mental Health Matching
Online mental health communities (OMHCs) are an effective and accessible...
research
∙
03/06/2023
Understanding Human Intervention in the Platform Economy: A case study of an indie food delivery service
This paper examines the sociotechnical infrastructure of an "indie" food...
research
∙
11/07/2022
Discrete Distribution Estimation under User-level Local Differential Privacy
We study discrete distribution estimation under user-level local differe...
research
∙
09/26/2022
Learning Continuous Control Policies for Information-Theoretic Active Perception
This paper proposes a method for learning continuous control policies fo...
research
∙
06/26/2022
Learning to Rearrange with Physics-Inspired Risk Awareness
Real-world applications require a robot operating in the physical world ...
research
∙
06/09/2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Twitter bot detection has become an increasingly important task to comba...
research
∙
06/07/2022
Histogram Estimation under User-level Privacy with Heterogeneous Data
We study the problem of histogram estimation under user-level differenti...
research
∙
06/06/2022
Human Behavior Recognition Method Based on CEEMD-ES Radar Selection
In recent years, the millimeter-wave radar to identify human behavior ha...
research
∙
05/07/2022
Empathetic Response Generation with State Management
The goal of empathetic response generation is to enhance the ability of ...
research
∙
10/15/2021
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
In this work, we perform semantic segmentation of multiple defect types ...
research
∙
08/19/2021
Multi defect detection and analysis of electron microscopy images with deep learning
Electron microscopy is widely used to explore defects in crystal structu...
research
∙
05/03/2021
Textual Analysis of Communications in COVID-19 Infected Community on Social Media
During the COVID-19 pandemic, people started to discuss about pandemic-r...
research
∙
02/02/2021
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
With the rapid adoption of machine learning (ML), a number of domains no...
research
∙
01/18/2021
Accelerating Deep Learning Inference via Learned Caches
Deep Neural Networks (DNNs) are witnessing increased adoption in multipl...
research
∙
10/30/2020
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints
We consider the task of estimating sparse discrete distributions under l...
research
∙
10/14/2020
Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
For use of cameras on an intelligent vehicle, driving over a major bump ...
research
∙
07/27/2020
Learning discrete distributions: user vs item-level privacy
Much of the literature on differential privacy focuses on item-level pri...
research
∙
07/21/2020
Interactive Inference under Information Constraints
We consider distributed inference using sequentially interactive protoco...
research
∙
03/24/2018