Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.03)
Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.03)
|
Loading...
Lütfen bekleyiniz...
Type
Size

İlgili Videolar

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.03)

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.03)

|
Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.01)

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.01)

|
Robustness and Strategic Concerns in Machine Learning - Yu Cheng

Robustness and Strategic Concerns in Machine Learning - Yu Cheng

|
Network-Accelerated Distributed Deep Learning - ACM SIGCOMM 2021 TUTORIAL

Network-Accelerated Distributed Deep Learning - ACM SIGCOMM 2021 TUTORIAL

|
Jiahao Ding@UH: FairBatch: Batch Selection for Model Fairness

Jiahao Ding@UH: FairBatch: Batch Selection for Model Fairness

|
SwitchFlow Preemptive Multitasking for Deep Learning (ACM Middleware 2021) - Overview

SwitchFlow Preemptive Multitasking for Deep Learning (ACM Middleware 2021) - Overview

|
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing (ACM CHI 2023)

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing (ACM CHI 2023)

|
Responsible AI Techniques for Model Training and Data Acquisition

Responsible AI Techniques for Model Training and Data Acquisition

|
Improving Deep Learning for HAR with shallow LSTMs

Improving Deep Learning for HAR with shallow LSTMs

|
ACM Chicago meeting - January 20, 2021 - Explaining and Accelerating Machine Learning for Finance

ACM Chicago meeting - January 20, 2021 - Explaining and Accelerating Machine Learning for Finance

|
Machine Learning and Fairness Webinar

Machine Learning and Fairness Webinar

|
ACM - Deep Learning Workshop

ACM - Deep Learning Workshop

|
Model-Reuse Attacks on Deep Learning Systems

Model-Reuse Attacks on Deep Learning Systems

|
Brian Hedden - On Statistical Criteria of Algorithmic Fairness

Brian Hedden - On Statistical Criteria of Algorithmic Fairness

|
Getting Started With Machine Learning | PEC ACM

Getting Started With Machine Learning | PEC ACM

|
Frontiers in Machine Learning: Machine Learning Reliability and Robustness

Frontiers in Machine Learning: Machine Learning Reliability and Robustness

|
ACM HT 2020 Tutorial: Knowledge-infused Deep Learning #knowledgeInfusedLearning #AIISC

ACM HT 2020 Tutorial: Knowledge-infused Deep Learning #knowledgeInfusedLearning #AIISC

|
Dealing with bias and fairness in AI systems by Pedro Saleiro

Dealing with bias and fairness in AI systems by Pedro Saleiro

|
ML for Networking (SIGCOMM'21 Topic Preview)

ML for Networking (SIGCOMM'21 Topic Preview)

|
ACM WiSec 2022 Day 1 live stream

ACM WiSec 2022 Day 1 live stream

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa