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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Survey of Deep Learning for Geometry Problem Solving
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning
Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems
Deep Learning Optimization of Two-State Pinching Antennas Systems
AXLearn: Modular Large Model Training on Heterogeneous Infrastructure
Determination Of Structural Cracks Using Deep Learning Frameworks
Crop Pest Classification Using Deep Learning Techniques: A Review
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Task-Agnostic Contrastive Pretraining for Relational Deep Learning
A Hierarchical Deep Learning Approach for Minority Instrument Detection
Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
Physics-Guided Radiotherapy Treatment Planning with Deep Learning
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems
Identifiability of Deep Polynomial Neural Networks
Geometric deep learning assists protein engineering. Opportunities and Challenges
Efficient Transformations in Deep Learning Convolutional Neural Networks
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
Fiber Signal Denoising Algorithm using Hybrid Deep Learning Networks
Acoustic scattering AI for non-invasive object classifications: A case study on hair assessment
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation
Object-Centric Neuro-Argumentative Learning
Deep Learning Surrogates for Real-Time Gas Emission Inversion
Accurate and scalable exchange-correlation with deep learning
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
Forecast-Then-Optimize Deep Learning Methods
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping
Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art
PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning
Projecting U.S. coastal storm surge risks and impacts with deep learning
A large-scale, physically-based synthetic dataset for satellite pose estimation
Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers
Efficiency Robustness of Dynamic Deep Learning Systems
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
Empirical Quantification of Spurious Correlations in Malware Detection
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