SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 76–100 of 380 papers

TitleStatusHype
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose—0
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively—0
Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained LabelingCode0
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks—0
TBBC: Predict True Bacteraemia in Blood Cultures via Deep Learning—0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation—0
Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications—0
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization—0
Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models—0
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive PerceptionCode9
EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMsCode1
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized RegimesCode0
Transducer Consistency Regularization for Speech to Text Applications—0
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action SegmentationCode0
Revisiting Essential and Nonessential Settings of Evidential Deep LearningCode1
Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models—0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting—0
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural RepresentationCode1
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography ClassificationCode0
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring—0
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data—0
CACER: Clinical Concept Annotations for Cancer Events and RelationsCode0
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