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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/jack-admiral/ACM-MM-FRDT

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RGB-D Salient Object Detection: A Survey

https://github.com/jasonxu1225/awesome-constraint-inference-in-rl

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A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges

https://github.com/jdavidm/weather_project

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Estimating the Impact of Weather on Agriculture

https://github.com/jeffhj/lm-reasoning

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Towards Reasoning in Large Language Models: A Survey

https://github.com/jiahongliu21/awesome-personalized-large-language-models

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A Survey of Personalized Large Language Models: Progress and Future Directions

https://github.com/jiakaiwangcn/awesome-physical-adversarial-examples

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Adversarial Examples in the Physical World: A Survey

https://github.com/jianzongwu/awesome-open-vocabulary

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Towards Open Vocabulary Learning: A Survey

https://github.com/jindongli-ai/survey_on_clip-powered_domain_generalization_and_adaptation

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CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey

https://github.com/jindongwang/transferlearning

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Generalizing to Unseen Domains: A Survey on Domain Generalization

https://github.com/jingkang50/oodsurvey

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Generalized Out-of-Distribution Detection: A Survey

https://github.com/jingkang50/openood

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Generalized Out-of-Distribution Detection: A Survey

https://github.com/jingyi0000/vlm_survey

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Vision-Language Models for Vision Tasks: A Survey

https://github.com/jishengpeng/wavchat

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WavChat: A Survey of Spoken Dialogue Models

https://github.com/jizhizili/matting-survey

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Deep Image Matting: A Comprehensive Survey

https://github.com/jjzhou012/GDAug-Survey

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Data Augmentation on Graphs: A Technical Survey

https://github.com/jo-wang/otta_vit_survey

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In Search of Lost Online Test-time Adaptation: A Survey

https://github.com/joezhao527/dm4neuro

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Diffusion Models for Computational Neuroimaging: A Survey

https://github.com/johnsonjiang1996/awesome-vla4ad

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A Survey on Vision-Language-Action Models for Autonomous Driving

https://github.com/josephjeesungsuh/subpop

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Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions

https://github.com/jqwangai/medical-llm

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A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations

https://github.com/js05212/BayesianDeepLearning-Survey

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A Survey on Bayesian Deep Learning

https://github.com/julmaxi/summary_lq_analysis

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How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation

https://github.com/junchenzhi/awesome-llm-ensemble

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Harnessing Multiple Large Language Models: A Survey on LLM Ensemble

https://github.com/jundongl/scikit-feature

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Feature Selection: A Data Perspective

https://github.com/junfish/Awesome-Multitask-Learning

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Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras

https://github.com/junhua/awesome-finance-ai-papers

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A Survey of Financial AI: Architectures, Advances and Open Challenges

https://github.com/junjun-jiang/Face-Hallucination-Benchmark

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Deep Learning-based Face Super-Resolution: A Survey

https://github.com/junxia97/awesome-pre-training-on-graphs

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A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

https://github.com/junxia97/awesome-pretrain-on-molecules

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A Systematic Survey of Chemical Pre-trained Models

https://github.com/junxia97/mole-bert

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A Systematic Survey of Chemical Pre-trained Models

https://github.com/justimyhxu/awesome-3d-generation

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Deep Generative Models on 3D Representations: A Survey

https://github.com/juyongjiang/codellmsurvey

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A Survey on Large Language Models for Code Generation

https://github.com/jwwthu/GNN-Communication-Networks

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Graph-based Deep Learning for Communication Networks: A Survey

https://github.com/jwwthu/GNN4Traffic

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Graph Neural Network for Traffic Forecasting: A Survey

https://github.com/kachris/survey_HA_LLM

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A Survey on Hardware Accelerators for Large Language Models

https://github.com/kaike-zhang/robust-recommender-system

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Robust Recommender System: A Survey and Future Directions

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