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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 101–150 of 380 papers

TitleStatusHype
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization—0
MicroNAS: An Automated Framework for Developing a Fall Detection System—0
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection—0
Map Feature Perception Metric for Map Generation Quality Assessment and Loss Optimization—0
Knowledge-guided machine learning for county-level corn yield prediction under drought—0
HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction—0
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing—0
Differentiable Folding for Nearest Neighbor Model Optimization—0
On Digital Optimization of Analog Self-Interference Cancellation for Full-Duplex Wireless Systems—0
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data—0
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks—0
Group Relative Policy Optimization for Image CaptioningCode0
Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications—0
Scaling LLM Pre-training with Vocabulary Curriculum—0
Vertical Federated Continual Learning via Evolving Prototype Knowledge—0
Beyond Models! Explainable Data Valuation and Metric Adaption for RecommendationCode0
SycEval: Evaluating LLM Sycophancy—0
SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labelsCode0
A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame PredictionCode0
Trust-Aware Diversion for Data-Effective Distillation—0
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection—0
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark—0
Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis—0
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?—0
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach—0
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities—0
Effortless Active Labeling for Long-Term Test-Time AdaptationCode0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks—0
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge DeploymentCode0
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock MarketCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Data-Driven Fairness Generalization for Deepfake Detection—0
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance—0
Lossless Model Compression via Joint Low-Rank Factorization Optimization—0
Behavior Backdoor for Deep Learning Models—0
Towards Data-centric Machine Learning on Directed Graphs: a Survey—0
Optimized Conformal Selection: Powerful Selective Inference After Conformity Score OptimizationCode0
Transforming the Hybrid Cloud for Emerging AI Workloads—0
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
Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications—0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation—0
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization—0
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