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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Taming the Titans: A Survey of Efficient LLM Inference Serving
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms
Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
Artificial Neural Network and Deep Learning: Fundamentals and Theory
ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
Deep Learning Activation Functions: Fixed-Shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-Standard, Ensemble
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
Automated Chronotyping from a Daily Calendar using Machine Learning
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Awesome Multi-modal Object Tracking
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
Pre-training on High Definition X-ray Images: An Experimental Study
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
CMNER: A Chinese Multimodal NER Dataset based on Social Media
C-ICL: Contrastive In-context Learning for Information Extraction
A Survey of Resilient Coordination for Cyber-Physical Systems Against Malicious Attacks
Fine Tuning Named Entity Extraction Models for the Fantasy Domain
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)
In the Aftermath of Oil Prices Fall of 2014/2015-Socioeconomic Facts and Changes in the Public Policies in the Sultanate of Oman
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection
A Category of Genes
Neural network scoring for efficient computing
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements
Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER)
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services
Joint Statistical and Causal Feature Modulated Face Anti-Spoofing
Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.