SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 51–100 of 380 papers

TitleStatusHype
Segment-level Metric Learning for Few-shot Bioacoustic Event DetectionCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
FL-Tuning: Layer Tuning for Feed-Forward Network in TransformerCode1
A Systematic Comparison of Phonetic Aware Techniques for Speech EnhancementCode1
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT HardwareCode1
GRAND+: Scalable Graph Random Neural NetworksCode1
Reliable Inlier Evaluation for Unsupervised Point Cloud RegistrationCode1
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitroCode1
Intent Contrastive Learning for Sequential RecommendationCode1
CVNet: Contour Vibration Network for Building ExtractionCode1
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal LearningCode1
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social MediaCode1
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training FrameworkCode1
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating DeepfakesCode1
Few-Shot Graph Learning for Molecular Property PredictionCode1
DEUP: Direct Epistemic Uncertainty PredictionCode1
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-TuningCode1
Loss Function Discovery for Object Detection via Convergence-Simulation Driven SearchCode1
Multitask Learning for Emotion and Personality DetectionCode1
Personalized Federated Learning with First Order Model OptimizationCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
Personalized Federated Learning with Moreau EnvelopesCode1
Dynamic Scale Training for Object DetectionCode1
ML4Chem: A Machine Learning Package for Chemistry and Materials ScienceCode1
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
PIXOR: Real-time 3D Object Detection from Point CloudsCode1
Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model OptimizationCode1
OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital PredistortionCode0
FedRef: Communication-Efficient Bayesian Fine Tuning with Reference ModelCode0
Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings—0
G^2D: Boosting Multimodal Learning with Gradient-Guided DistillationCode0
Enterprise Large Language Model Evaluation Benchmark—0
Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency—0
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot DetectionCode0
GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPOCode0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Multi-Modal Learning with Bayesian-Oriented Gradient Calibration—0
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets—0
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question AnsweringCode0
MSDformer: Multi-scale Discrete Transformer For Time Series Generation—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
Learning to Insert for Constructive Neural Vehicle Routing Solver—0
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival AnalysisCode0
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc NetworksCode0
From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to FeedbackCode0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams—0
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models—0
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