Research graph
References from Task-Tailored Pre-Processing: Fair Downstream Supervised Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1111/poms.13839
10.1111/poms.13839 · External reference
10.1038/s41746-023-00805-y
10.1038/s41746-023-00805-y · External reference
10.3390/app131810258
10.3390/app131810258 · External reference
10.1145/2783258.2783311
10.1145/2783258.2783311 · External reference
10.52202/079017-1966
10.52202/079017-1966 · External reference
A reductions approach to fair classification
External reference
On the maximal local disparity of fairness-aware classifiers
2024 · External reference
Equality of opportunity in supervised learning
External reference
Fair and optimal classification via post-processing
External reference
Unresolved reference
2023 · External reference
10.1145/3616865
10.1145/3616865 · External reference
Synthetic data–what, why and how?
2022 · External reference
10.1109/bigdata.2018.8622525
10.1109/bigdata.2018.8622525 · External reference
10.3390/make4020022
10.3390/make4020022 · External reference
10.1109/cvpr.2017.19
10.1109/cvpr.2017.19 · External reference
FastSpeech 2: Fast and high-quality end-to-end text to speech
2020 · External reference
ChatGPT: GPT-4
2023 · External reference
The rise of task-tailored generative models: Redefining specialization in artificial intelligence
2024 · External reference
Obtaining fairness using optimal transport theory
External reference
10.1109/cvpr52688.2022.01013
10.1109/cvpr52688.2022.01013 · External reference
FairRR: Pre-processing for group fairness through randomized response
2024 · External reference
Benchmarking bias mitigation toward fairness without harm from vision to LVLMs
2026 · External reference
Optimized pre-processing for discrimination prevention
External reference
10.1609/aaai.v38i20.30202
10.1609/aaai.v38i20.30202 · External reference
10.1109/tnnls.2024.3384181
10.1109/tnnls.2024.3384181 · External reference
10.1016/j.neucom.2021.12.082
10.1016/j.neucom.2021.12.082 · External reference
10.1145/3278721.3278779
10.1145/3278721.3278779 · External reference
10.1609/aaai.v33i01.33012412
10.1609/aaai.v33i01.33012412 · External reference
10.1609/aaai.v38i20.30220
10.1609/aaai.v38i20.30220 · External reference
10.1007/bf02063300
10.1007/bf02063300 · External reference
10.1109/icassp43922.2022.9747263
10.1109/icassp43922.2022.9747263 · External reference
Fair supervised learning with a simple random sampler of sensitive attributes
External reference
Towards convergence rate analysis of random forests for classification
10.1016/j.artint.2022.103788 · External reference
10.2307/2288473
10.2307/2288473 · External reference
10.1609/aaai.v33i01.33015281
10.1609/aaai.v33i01.33015281 · External reference
Fairness-aware learning for continuous attributes and treatments
External reference
On measures of dependence
1959 · External reference
Achieving equalized odds by resampling sensitive attributes
External reference
10.1007/978-3-030-67670-4_8
10.1007/978-3-030-67670-4_8 · External reference
Model-agnostic meta-learning for fast adaptation of deep networks
External reference
Bilevel Optimization: Convergence analysis and enhanced design
External reference
10.1007/s10115-011-0463-8
10.1007/s10115-011-0463-8 · External reference
10.1109/4235.797969
10.1109/4235.797969 · External reference
10.1145/3453474
10.1145/3453474 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
10.1145/3495162
10.1145/3495162 · External reference
On conditional correlations
2018 · External reference
10.1186/s12859-023-05161-y
10.1186/s12859-023-05161-y · External reference
Categorical reparameterization with Gumbel-Softmax
2016 · External reference
