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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 251–275 of 380 papers

TitleStatusHype
Tensor Decomposition based Personalized Federated Learning—0
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks—0
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models—0
Transfer-Once-For-All: AI Model Optimization for Edge—0
Towards Data-centric Machine Learning on Directed Graphs: a Survey—0
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning—0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity—0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Transducer Consistency Regularization for Speech to Text Applications—0
Transforming the Hybrid Cloud for Emerging AI Workloads—0
Trust-Aware Diversion for Data-Effective Distillation—0
TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines—0
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation—0
UDD: Dataset Distillation via Mining Underutilized Regions—0
Ultra-Low Power Keyword Spotting at the Edge—0
Untangling tradeoffs between recurrence and self-attention in neural networks—0
Untangling tradeoffs between recurrence and self-attention in artificial neural networks—0
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models—0
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies—0
Validation of machine learning based scenario generators—0
Variational Inference via Transformations on Distributions—0
Vertical Federated Continual Learning via Evolving Prototype Knowledge—0
Video Analytics on IoT devices—0
Vision-language Assisted Attribute Learning—0
Visual Tactile Fusion Object Clustering—0
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