Application Areas

Fairness without Demographics through Knowledge Distillation NeurIPS 2022 Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values AAAI 2022 Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022 Fair NLP Models with Differentially Private Text Encoders EMNLP 2022 Fair Normalizing Flows ICLR 2022 Fair Rank Aggregation NeurIPS 2022 Fair Ranking with Noisy Protected Attributes NeurIPS 2022 Fair Representation Learning through Implicit Path Alignment ICML 2022 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NeurIPS 2022 Fair Visual Recognition in Limited Data Regime Using Self-Supervision and Self-Distillation WACV 2022 Fair Wrapping for Black-box Predictions NeurIPS 2022 Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization EMNLP 2022 FalCon: Fine-Grained Feature Map Sparsity Computing With Decomposed Convolutions for Inference Optimization WACV 2022 FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction NAACL 2022 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation WACV 2022 Fast AdvProp ICLR 2022 Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022 Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning IJCAI 2022 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022 FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis IJCAI 2022 Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022 FastDOG: Fast Discrete Optimization on GPU CVPR 2022 Faster Fundamental Graph Algorithms via Learned Predictions ICML 2022 Faster Privacy Accounting via Evolving Discretization ICML 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022