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Model Optimization
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To Optimize already existing models in Training/Inferencing tasks.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FedRef: Communication-Efficient Bayesian Fine Tuning with Reference Model
Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings
G$^{2}$D: Boosting Multimodal Learning with Gradient-Guided Distillation
Enterprise Large Language Model Evaluation Benchmark
From Tiny Machine Learning to Tiny Deep Learning: A Survey
Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection
GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions
RewardAnything: Generalizable Principle-Following Reward Models
Multi-Modal Learning with Bayesian-Oriented Gradient Calibration
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
Learning to Insert for Constructive Neural Vehicle Routing Solver
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking
MSDformer: Multi-scale Discrete Transformer For Time Series Generation
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
SLOT: Sample-specific Language Model Optimization at Test-time
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to Feedback
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
D$^{2}$MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models
MicroNAS: An Automated Framework for Developing a Fall Detection System
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices
Map Feature Perception Metric for Map Generation Quality Assessment and Loss Optimization
OpenHuEval: Evaluating Large Language Model on Hungarian Specifics
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
Knowledge-guided machine learning for county-level corn yield prediction under drought
HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction
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