Application Areas

Matrix Compression via Randomized Low Rank and Low Precision Factorization NeurIPS 2023 Matrix Estimation for Individual Fairness ICML 2023 Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space - Transformer Ensemble Models Tackling Deception and Persuasion EMNLP 2023 Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition ICLR 2023 MCAL: Minimum Cost Human-Machine Active Labeling ICLR 2023 MCC-KD: Multi-CoT Consistent Knowledge Distillation EMNLP 2023 mCLIP: Multilingual CLIP via Cross-lingual Transfer ACL 2023 MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory NeurIPS 2023 MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition ICCV 2023 MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer CVPR 2023 MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos CVPR 2023 Mean Parity Fair Regression in RKHS AISTATS 2023 Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract) IJCAI 2023 Measure the Predictive Heterogeneity ICLR 2023 Measuring bias in Instruction-Following models with P-AT EMNLP 2023 Measuring Consistency in Text-based Financial Forecasting Models ACL 2023 Measuring Gender Bias in West Slavic Language Models EACL 2023 Measuring Intersectional Biases in Historical Documents ACL 2023 Measuring Normative and Descriptive Biases in Language Models Using Census Data EACL 2023 Measuring the Impact of Data Augmentation Methods for Extremely Low-Resource NMT EACL 2023 Measuring the Impact of Programming Language Distribution ICML 2023 Mechanism Design for Collaborative Normal Mean Estimation NeurIPS 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023 Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ACL 2023 MEDIC: Remove Model Backdoors via Importance Driven Cloning CVPR 2023