SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 101–150 of 380 papers

TitleStatusHype
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class MismatchCode0
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock MarketCode0
Rank Position Forecasting in Car RacingCode0
Online Arbitrary Shaped Clustering through Correlated Gaussian FunctionsCode0
BatchQuant: Quantized-for-all Architecture Search with Robust QuantizerCode0
On the Limitations of Fractal Dimension as a Measure of GeneralizationCode0
Object-aware Adaptive-Positivity Learning for Audio-Visual Question AnsweringCode0
Device-friendly Guava fruit and leaf disease detection using deep learningCode0
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge DevicesCode0
Effortless Active Labeling for Long-Term Test-Time AdaptationCode0
AI-coherent data-driven forecasting model for a combined cycle power plantCode0
Dependency or Span, End-to-End Uniform Semantic Role LabelingCode0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
AGGLIO: Global Optimization for Locally Convex FunctionsCode0
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized RegimesCode0
Variational Inference for Sparse Gaussian Process Modulated Hawkes ProcessCode0
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc NetworksCode0
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
Exploring Robustness of Image Recognition Models on Hardware AcceleratorsCode0
Optimized Conformal Selection: Powerful Selective Inference After Conformity Score OptimizationCode0
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationCode0
Model Optimization in Imbalanced RegressionCode0
A Fast Fully Octave Convolutional Neural Network for Document Image SegmentationCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
LLMRec: Large Language Models with Graph Augmentation for RecommendationCode0
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action SegmentationCode0
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential EquationsCode0
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
Monkeypox disease recognition model based on improved SE-InceptionV3Code0
Improved Self-Training for Test-Time AdaptationCode0
Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffeCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
FedRef: Communication-Efficient Bayesian Fine Tuning with Reference ModelCode0
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and DirectionsCode0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Group Relative Policy Optimization for Image CaptioningCode0
GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPOCode0
Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained LabelingCode0
Gate-Variants of Gated Recurrent Unit (GRU) Neural NetworksCode0
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting ClassificationCode0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to FeedbackCode0
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence GenerationCode0
A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame PredictionCode0
G^2D: Boosting Multimodal Learning with Gradient-Guided DistillationCode0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography ClassificationCode0
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous DataCode0
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