Application Areas

On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 On the Strategyproofness of the Geometric Median AISTATS 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 On the Within-Group Fairness of Screening Classifiers ICML 2023 On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023 Ontology-aware Learning and Evaluation for Audio Tagging Interspeech 2023 On User-Level Private Convex Optimization ICML 2023 On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation EMNLP 2023 Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation NeurIPS 2023 OpenDataVal: a Unified Benchmark for Data Valuation NeurIPS 2023 Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval EMNLP 2023 Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation AAAI 2023 Open-ended Long Text Generation via Masked Language Modeling ACL 2023 OpenFE: Automated Feature Generation with Expert-level Performance ICML 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NeurIPS 2023 OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data AAAI 2023 OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception ICCV 2023 Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers ACL 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023 Optimal and Fair Encouragement Policy Evaluation and Learning NeurIPS 2023 Optimal and Private Learning from Human Response Data AISTATS 2023 Optimal Budget Allocation for Crowdsourcing Labels for Graphs UAI 2023 Optimal Decision Trees For Interpretable Clustering with Constraints IJCAI 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NeurIPS 2023 Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning NeurIPS 2023