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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Dynamic Fully-Connected Layer for Large-Scale Speaker Verification Interspeech 2023 Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation CVPR 2023 Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Dynamic Open-book Prompt for Conversational Recommender System EMNLP 2023 Dynamic Perceiver for Efficient Visual Recognition ICCV 2023 Dynamic Personalized Federated Learning with Adaptive Differential Privacy NeurIPS 2023 Dynamic Sparsity Is Channel-Level Sparsity Learner NeurIPS 2023 Dynamic Stashing Quantization for Efficient Transformer Training EMNLP 2023 Dynamic Structure Pruning for Compressing CNNs AAAI 2023 Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation ICCV 2023 Dynamic Transformers Provide a False Sense of Efficiency ACL 2023 DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance ACL 2023 DynaMS: Dyanmic Margin Selection for Efficient Deep Learning ICLR 2023 DySR: Adaptive Super-Resolution via Algorithm and System Co-design ICLR 2023 E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning ICCV 2023 EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark ICLR 2023 Early Discovery of Disappearing Entities in Microblogs ACL 2023 EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings MLHC 2023 ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER ACL 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023 Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes NeurIPS 2023 EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization CVPR 2023 EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation ICCV 2023 ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines ICML 2023