b'Yunfeng Zhang'

research

∙ 09/21/2023

Simulation-to-reality UAV Fault Diagnosis in windy environments

Monitoring propeller failures is vital to maintain the safe and reliable...

0 Wei Zhang, et al. ∙

research

∙ 02/16/2023

Difference-based Deep Convolutional Neural Network for Simulation-to-reality UAV Fault Diagnosis

Identifying the fault in propellers is important to keep quadrotors oper...

0 Wei Zhang, et al. ∙

research

∙ 02/09/2023

Simulation-to-reality UAV Fault Diagnosis with Deep Learning

Accurate diagnosis of propeller faults is crucial for ensuring the safe ...

0 Wei Zhang, et al. ∙

research

∙ 07/29/2022

Exponential canonical correlation analysis with orthogonal variation

Canonical correlation analysis (CCA) is a standard tool for studying ass...

0 Dongbang Yuan, et al. ∙

research

∙ 06/22/2022

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI

Recent years have seen a surge of interest in the field of explainable A...

15 Q Vera Liao, et al. ∙

research

∙ 05/11/2022

De-biasing "bias" measurement

When a model's performance differs across socially or culturally relevan...

0 Kristian Lum, et al. ∙

research

∙ 04/25/2022

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation

Despite impressive performance in many benchmark datasets, AI models can...

4 Vivian Lai, et al. ∙

research

∙ 09/24/2021

AI Explainability 360: Impact and Design

As artificial intelligence and machine learning algorithms become increa...

46 Vijay Arya, et al. ∙

research

∙ 06/02/2021

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

In this paper, we describe an open source Python toolkit named Uncertain...

107 Soumya Ghosh, et al. ∙

research

∙ 05/08/2021

D2S: Document-to-Slide Generation Via Query-Based Text Summarization

Presentations are critical for communication in all areas of our lives, ...

0 Edward Sun, et al. ∙

research

∙ 04/09/2021

Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML

Automated Machine Learning (AutoML) is a rapidly growing set of technolo...

6 Shweta Narkar, et al. ∙

research

∙ 03/22/2021

Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation

Training an agent to navigate with DRL is data-hungry, which requires mi...

9 Wei Zhang, et al. ∙

research

∙ 01/07/2021

How Much Automation Does a Data Scientist Want?

Data science and machine learning (DS/ML) are at the heart of the recent...

54 Dakuo Wang, et al. ∙

research

∙ 11/15/2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

Transparency of algorithmic systems entails exposing system properties t...

6 Umang Bhatt, et al. ∙

research

∙ 10/20/2020

Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach

Deep reinforcement learning (DRL) demonstrates great potential in maples...

6 Wei Zhang, et al. ∙

research

∙ 10/15/2020

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

Several strands of research have aimed to bridge the gap between artific...

0 Charvi Rastogi, et al. ∙

research

∙ 09/06/2020

Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation

We propose a new active learning (AL) framework, Active Learning++, whic...

12 Bhavya Ghai, et al. ∙

research

∙ 04/04/2020

Measuring Social Biases of Crowd Workers using Counterfactual Queries

Social biases based on gender, race, etc. have been shown to pollute mac...

1 Bhavya Ghai, et al. ∙

research

∙ 03/12/2020

Model Agnostic Multilevel Explanations

In recent years, post-hoc local instance-level and global dataset-level ...

0 Karthikeyan Natesan Ramamurthy, et al. ∙

research

∙ 03/02/2020

Business (mis)Use Cases of Generative AI

Generative AI is a class of machine learning technology that learns to g...

0 Stephanie Houde, et al. ∙

research

∙ 02/15/2020

Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions

Deep reinforcement learning (DRL) has shown great potential in training ...

0 Wei Zhang, et al. ∙

research

∙ 02/05/2020

Joint Optimization of AI Fairness and Utility: A Human-Centered Approach

Today, AI is increasingly being used in many high-stakes decision-making...

10 Yunfeng Zhang, et al. ∙

research

∙ 01/24/2020

Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience

Active Learning (AL) is a human-in-the-loop Machine Learning paradigm fa...

43 Bhavya Ghai, et al. ∙

research

∙ 01/13/2020

Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness

Many proposed methods for explaining machine learning predictions are in...

0 Michael Hind, et al. ∙

research

∙ 01/07/2020

Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making

Today, AI is being increasingly used to help human experts make decision...

0 Yunfeng Zhang, et al. ∙

research

∙ 09/06/2019

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

As artificial intelligence and machine learning algorithms make further ...

36 Vijay Arya, et al. ∙

research

∙ 01/23/2019

Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment

Ensuring fairness of machine learning systems is a human-in-the-loop pro...

0 Jonathan Dodge, et al. ∙

research

∙ 12/14/2018

Bootstrapping Conversational Agents With Weak Supervision

Many conversational agents in the market today follow a standard bot dev...

0 Neil Mallinar, et al. ∙

research

∙ 11/20/2018

Joint association and classification analysis of multi-view data

Multi-view data, that is matched sets of measurements on the same subjec...

0 Yunfeng Zhang, et al. ∙

research

∙ 10/03/2018

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Fairness is an increasingly important concern as machine learning models...

12 Rachel K. E. Bellamy, et al. ∙

research

∙ 09/11/2018

Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation

Self-navigation, referring to automatically reaching the goal while avoi...

0 Wei Zhang, et al. ∙

research

∙ 10/04/2017

Combining absolute and relative pointing for fast and accurate distant interaction

Traditional relative pointing devices such as mice and trackpads are uns...

0 Yunfeng Zhang, et al. ∙

research

∙ 10/04/2017

CELIO: An application development framework for interactive spaces

Developing applications for interactive space is different from developi...

0 Yedendra B. Shrinivasan, et al. ∙

Yunfeng Zhang

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