Application Areas

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 DataComp: In search of the next generation of multimodal datasets NeurIPS 2023 DataDAM: Efficient Dataset Distillation with Attention Matching ICCV 2023 Data-Driven Network Neuroscience: On Data Collection and Benchmark NeurIPS 2023 Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions L4DC 2023 Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least ICML 2023 Data-Efficient Image Quality Assessment with Attention-Panel Decoder AAAI 2023 Data-Efficient Methods For Improving Hate Speech Detection EACL 2023 Data Factors for Better Compositional Generalization EMNLP 2023 Data Feedback Loops: Model-driven Amplification of Dataset Biases ICML 2023 DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ACL 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Data-free Knowledge Distillation for Fine-grained Visual Categorization ICCV 2023 Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023 Data-Free Sketch-Based Image Retrieval CVPR 2023 Data Imputation with Iterative Graph Reconstruction AAAI 2023 Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions AAAI 2023 Data Minimization at Inference Time NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development NeurIPS 2023 Data Poisoning Attacks Against Multimodal Encoders ICML 2023 Data Portraits: Recording Foundation Model Training Data NeurIPS 2023 Data Pruning via Moving-one-Sample-out NeurIPS 2023 DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model NeurIPS 2023 Data Selection for Language Models via Importance Resampling NeurIPS 2023 Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond EMNLP 2023