Application Areas

Optimal Compression of Locally Differentially Private Mechanisms AISTATS 2022 Optimal Correction Cost for Object Detection Evaluation CVPR 2022 Optimal Efficiency-Envy Trade-Off via Optimal Transport NeurIPS 2022 Optimally Controllable Perceptual Lossy Compression ICML 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 Optimal Representations for Covariate Shift ICLR 2022 Optimal Tensor Transport AAAI 2022 Optimal Training of Fair Predictive Models CLeaR 2022 Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition NeurIPS 2022 Optimal Transport of Classifiers to Fairness NeurIPS 2022 Optimising Equal Opportunity Fairness in Model Training NAACL 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization AAAI 2022 Optimizing Relevance Maps of Vision Transformers Improves Robustness NeurIPS 2022 Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation AACL 2022 OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift MIDL 2022 Optum’s Submission to WMT22 Biomedical Translation Tasks EMNLP 2022 OrbWeaver: Using IDLE Cycles in Programmable Networks for Opportunistic Coordination NSDI 2022 Orca: A Distributed Serving System for Transformer-Based Generative Models OSDI 2022 Orca: Server-assisted Multicast for Datacenter Networks NSDI 2022 Order-Invariant Cardinality Estimators Are Differentially Private NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization NeurIPS 2022 Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning WACV 2022 Outcome Assumptions and Duality Theory for Balancing Weights AISTATS 2022