Application Areas

Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020 Fairness in Streaming Submodular Maximization: Algorithms and Hardness NeurIPS 2020 Fairness without Demographics through Adversarially Reweighted Learning NeurIPS 2020 Fairness with Overlapping Groups; a Probabilistic Perspective NeurIPS 2020 Fair Performance Metric Elicitation NeurIPS 2020 Fair regression via plug-in estimator and recalibration with statistical guarantees NeurIPS 2020 Fair regression with Wasserstein barycenters NeurIPS 2020 Fair Resource Allocation in Federated Learning ICLR 2020 Fairwashing explanations with off-manifold detergent ICML 2020 FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 Falcon: Fast Spectral Inference on Encrypted Data NeurIPS 2020 Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach EMNLP 2020 Fashion Outfit Complementary Item Retrieval CVPR 2020 Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NeurIPS 2020 Fast and Deep Graph Neural Networks AAAI 2020 Fast and Lightweight On-Device TTS with Tacotron2 and LPCNet Interspeech 2020 Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints ICML 2020 Fast and Slow Acoustic Model Interspeech 2020 FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020 Faster DBSCAN via subsampled similarity queries NeurIPS 2020 Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NeurIPS 2020 FASTER Recurrent Networks for Efficient Video Classification AAAI 2020 FasterSeg: Searching for Faster Real-time Semantic Segmentation ICLR 2020