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Fairness

3337 directly classified papers

Papers per year

Papers

Beyond Parity: Fairness Objectives for Collaborative Filtering NIPS 2017
Avoiding Discrimination through Causal Reasoning NIPS 2017
Incorporating Dialectal Variability for Socially Equitable Language Identification ACL 2017
From Parity to Preference-based Notions of Fairness in Classification NIPS 2017
On Fairness and Calibration NIPS 2017
Fair Clustering Through Fairlets NIPS 2017
Controllable Invariance through Adversarial Feature Learning NIPS 2017
Recycling Privileged Learning and Distribution Matching for Fairness NIPS 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results INTERSPEECH 2017
Fair and Efficient Social Choice in Dynamic Settings IJCAI 2017
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SEMEVAL 2017
Algorithmic Bias in Autonomous Systems IJCAI 2017
Understanding Black-box Predictions via Influence Functions ICML 2017
Replay Attack Detection Using DNN for Channel Discrimination INTERSPEECH 2017
Fairness in Reinforcement Learning ICML 2017
Learning Non-Discriminatory Predictors COLT 2017
Meritocratic Fairness for Cross-Population Selection ICML 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints EMNLP 2017
Which is the Fairest (Rent Division) of Them All? [Extended Abstract] IJCAI 2017
Learning to Pivot with Adversarial Networks NIPS 2017
Responsible Autonomy IJCAI 2017
Axiomatic Attribution for Deep Networks ICML 2017
Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017
Fair Allocation based on Diminishing Differences IJCAI 2017
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination IJCAI 2017