SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 151–175 of 380 papers

TitleStatusHype
A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame PredictionCode0
LabelCraft: Empowering Short Video Recommendations with Automated Label CraftingCode0
OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital PredistortionCode0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
Enterprise Large Language Model Evaluation Benchmark—0
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs—0
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection—0
Enhancing supply chain security with automated machine learning—0
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data—0
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose—0
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection—0
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