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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 51–100 of 380 papers

TitleStatusHype
Improved Distribution Matching for Dataset CondensationCode1
Intent Contrastive Learning for Sequential RecommendationCode1
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and ProspectsCode1
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social MediaCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
Gradient-Guided Annealing for Domain GeneralizationCode1
FL-Tuning: Layer Tuning for Feed-Forward Network in TransformerCode1
Revisiting Essential and Nonessential Settings of Evidential Deep LearningCode1
GRAND+: Scalable Graph Random Neural NetworksCode1
DEUP: Direct Epistemic Uncertainty PredictionCode1
OpenHuEval: Evaluating Large Language Model on Hungarian SpecificsCode1
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and ReasoningCode1
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated LearningCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
Few-Shot Graph Learning for Molecular Property PredictionCode1
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
Controllable Style Transfer via Test-time Training of Implicit Neural RepresentationCode1
Ads Recommendation in a Collapsed and Entangled WorldCode1
FourCastNeXt: Optimizing FourCastNet Training for Limited ComputeCode1
Execution-based Code Generation using Deep Reinforcement LearningCode1
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and DiscriminationCode1
CVNet: Contour Vibration Network for Building ExtractionCode1
Knowledge-refined Denoising Network for Robust RecommendationCode1
Loss Function Discovery for Object Detection via Convergence-Simulation Driven SearchCode1
Few-shot Object LocalizationCode1
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Streaming Radiance Fields for 3D Video SynthesisCode1
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural RepresentationCode1
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams—0
Anomalib: A Deep Learning Library for Anomaly Detection—0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs—0
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation—0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose—0
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
An empirical investigation into audio pipeline approaches for classifying bird species—0
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization—0
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation—0
Enhancing supply chain security with automated machine learning—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
A Machine Learning-oriented Survey on Tiny Machine Learning—0
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