# fairness Edit

233 papers with code · Computer Vision

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# Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

11 Sep 2018tensorflow/tensorflow

This new formulation leads to an algorithm that produces a stochastic classifier by playing a two-player non-zero-sum game solving for what we call a semi-coarse correlated equilibrium, which in turn corresponds to an approximately optimal and feasible solution to the constrained optimization problem.

151,005

# Fairness in Streaming Submodular Maximization: Algorithms and Hardness

Submodular maximization has become established as the method of choice for the task of selecting representative and diverse summaries of data.

14,384

# On Making Stochastic Classifiers Deterministic

Stochastic classifiers arise in a number of machine learning problems, and have become especially prominent of late, as they often result from constrained optimization problems, e. g. for fairness, churn, or custom losses.

14,384

# Optimizing Generalized Rate Metrics with Three Players

We present a general framework for solving a large class of learning problems with non-linear functions of classification rates.

14,384

# Pairwise Fairness for Ranking and Regression

We present pairwise fairness metrics for ranking models and regression models that form analogues of statistical fairness notions such as equal opportunity, equal accuracy, and statistical parity.

14,384

# Fair Correlation Clustering

We define a fairlet decomposition with cost similar to the $k$-median cost and this allows us to obtain approximation algorithms for a wide range of fairness constraints.

14,382

# What Do Compressed Deep Neural Networks Forget?

However, this measure of performance conceals significant differences in how different classes and images are impacted by model compression techniques.

14,382

# FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

4 Apr 2020ifzhang/FairMOT

There has been remarkable progress on object detection and re-identification (re-ID) in recent years which are the key components of multi-object tracking.

Ranked #1 on Multi-Object Tracking on MOT16 (using extra training data)

2,057

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

3 Oct 2018IBM/AIF360

Such architectural design and abstractions enable researchers and developers to extend the toolkit with their new algorithms and improvements, and to use it for performance benchmarking.

1,145

# Weakly-Supervised Disentanglement Without Compromises

Third, we perform a large-scale empirical study and show that such pairs of observations are sufficient to reliably learn disentangled representations on several benchmark data sets.

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