SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 276–300 of 380 papers

TitleStatusHype
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition—0
Anomalib: A Deep Learning Library for Anomaly Detection—0
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitroCode1
Intent Contrastive Learning for Sequential RecommendationCode1
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)—0
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study—0
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal LearningCode1
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation—0
CVNet: Contour Vibration Network for Building ExtractionCode1
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning—0
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationCode0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry—0
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation—0
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds—0
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social MediaCode1
Heterogeneous Language Model Optimization in Automatic Speech Recognition—0
Ultra-Low Power Keyword Spotting at the Edge—0
AGGLIO: Global Optimization for Locally Convex FunctionsCode0
MultiHead MultiModal Deep Interest Recommendation Network—0
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts—0
Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization—0
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data—0
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and DirectionsCode0
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training FrameworkCode1
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection—0
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