Application Areas

Model-Based Control with Sparse Neural Dynamics NeurIPS 2023 Model Compression for DNN-based Speaker Verification Using Weight Quantization Interspeech 2023 Model Conversion via Differentially Private Data-Free Distillation IJCAI 2023 Modeling Stroke Mask for End-to-End Text Erasing WACV 2023 Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization ICLR 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models Interspeech 2023 ModelKeeper: Accelerating DNN Training via Automated Training Warmup NSDI 2023 MODeL: Memory Optimizations for Deep Learning ICML 2023 Model Predictive Control via On-Policy Imitation Learning L4DC 2023 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization ICML 2023 Model Shapley: Equitable Model Valuation with Black-box Access NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NeurIPS 2023 Models Teaching Models: Improving Model Accuracy with Slingshot Learning EACL 2023 Model Transferability with Responsive Decision Subjects ICML 2023 Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning ICLR 2023 Moderately Distributional Exploration for Domain Generalization ICML 2023 Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners CVPR 2023 Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 Modular Domain Adaptation for Conformer-Based Streaming ASR Interspeech 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023 Module-wise Adaptive Distillation for Multimodality Foundation Models NeurIPS 2023