SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 380 papers

TitleStatusHype
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
Behavior Backdoor for Deep Learning Models—0
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams—0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
Confidence-based Reliable Learning under Dual Noises—0
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation—0
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?—0
Constraint-Based Inference of Heuristics for Foreign Exchange Trade Model Optimization—0
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning—0
Curriculum Graph Machine Learning: A Survey—0
Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning—0
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring—0
Data-Augmented Counterfactual Learning for Bundle Recommendation—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications—0
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss—0
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization—0
Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches—0
DEMO: A Statistical Perspective for Efficient Image-Text Matching—0
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance—0
Differentiable Folding for Nearest Neighbor Model Optimization—0
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction—0
Diffusion Deepfake—0
DISCO: Distributed Inference with Sparse Communications—0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening—0
Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Dynamic Transfer Learning for Named Entity Recognition—0
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey—0
Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis—0
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data—0
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach—0
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds—0
NeRF-Guided Unsupervised Learning of RGB-D Registration—0
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)—0
Show:102550
← PrevPage 4 of 8Next →

No leaderboard results yet.