SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 251–300 of 380 papers

TitleStatusHype
Extraction of Vascular Wall in Carotid Ultrasound via a Novel Boundary-Delineation Network—0
Segment-level Metric Learning for Few-shot Bioacoustic Event DetectionCode1
QSAN: A Near-term Achievable Quantum Self-Attention Network—0
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
An Embedding-Dynamic Approach to Self-supervised Learning—0
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation—0
FL-Tuning: Layer Tuning for Feed-Forward Network in TransformerCode1
A Systematic Comparison of Phonetic Aware Techniques for Speech EnhancementCode1
Model Optimization in Imbalanced RegressionCode0
Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection—0
Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes—0
Medical Image Registration via Neural Fields—0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity—0
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT HardwareCode1
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation—0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
Federated Self-Supervised Learning for Acoustic Event Classification—0
GRAND+: Scalable Graph Random Neural NetworksCode1
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss—0
PUMA: Performance Unchanged Model Augmentation for Training Data Removal—0
Adaptive Discriminative Regularization for Visual Classification—0
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders—0
Reliable Inlier Evaluation for Unsupervised Point Cloud RegistrationCode1
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale FusionCode7
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks—0
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition—0
Anomalib: A Deep Learning Library for Anomaly DetectionCode0
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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