SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 101–125 of 380 papers

TitleStatusHype
LLMRec: Large Language Models with Graph Augmentation for RecommendationCode0
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock MarketCode0
BatchQuant: Quantized-for-all Architecture Search with Robust QuantizerCode0
Device-friendly Guava fruit and leaf disease detection using deep learningCode0
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential EquationsCode0
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge DevicesCode0
AI-coherent data-driven forecasting model for a combined cycle power plantCode0
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized RegimesCode0
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge DeploymentCode0
Effortless Active Labeling for Long-Term Test-Time AdaptationCode0
Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networksCode0
LabelCraft: Empowering Short Video Recommendations with Automated Label CraftingCode0
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography ClassificationCode0
Dependency or Span, End-to-End Uniform Semantic Role LabelingCode0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
Improved Self-Training for Test-Time AdaptationCode0
AGGLIO: Global Optimization for Locally Convex FunctionsCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression RecognitionCode0
Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffeCode0
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationCode0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
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