Decision Making
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/apinto92/stroke_prediction
공식 코드Combining unsupervised and supervised learning for predicting the final stroke lesion
https://github.com/aquillanatus/scorecampp
공식 코드Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
https://github.com/arash-shahmansoori/r2cbr3h-sr
공식 코드https://github.com/arce-star/Bias-in-Decision-Making-for-AI-Ethical-Dilemmas--A-Comparative-Study-of-ChatGPT-and-Claude
공식 코드Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude
https://github.com/archo48/nmpa
공식 코드Learning Non-myopic Power Allocation in Constrained Scenarios
https://github.com/arclab-mit/kspdg
공식 코드https://github.com/areffarhadi/masked_face_emotion_recognition
공식 코드Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique
https://github.com/arezaz/ensemble-binary-classification
공식 코드A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach
https://github.com/ari-dasci/OD-TripR-2020
공식 코드https://github.com/aria-systems-group/hsvi-rp
공식 코드Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
https://github.com/arkadeepacharya/medsumm-ecir2024
공식 코드MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries
https://github.com/arminmoin/ML-Quadrat
공식 코드A Model-Driven Approach to Machine Learning and Software Modeling for the IoT
https://github.com/armiro/COVID-CXNet
공식 코드COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
https://github.com/armmn/Smoothness-Adaptive-Contextual-Bandits
공식 코드https://github.com/arnavkj1995/sailor
공식 코드A Smooth Sea Never Made a Skilled $\texttt{SAILOR}$: Robust Imitation via Learning to Search
https://github.com/arobrecht/severus-study
공식 코드SNAPE-PM: Building and Utilizing Dynamic Partner Models for Adaptive Explanation Generation
https://github.com/arth-shukla/mshab
공식 코드ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
https://github.com/arturo-perez-peralta/FairMLIntegration
공식 코드The more the merrier: logical and multistage processors in credit scoring
https://github.com/asami-1/gdp
공식 코드Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports
https://github.com/asappresearch/imitkd
공식 코드Autoregressive Knowledge Distillation through Imitation Learning
https://github.com/ashedwards/ILPO
공식 코드https://github.com/ashesh6810/fourks
공식 코드https://github.com/ashishsalunkhe/DeepSpamReview-Detection-of-Fake-Reviews-on-Online-Review-Platforms-using-DeepLearning-Architectures
공식 코드Attention-based Bidirectional LSTM for Deceptive Opinion Spam Classification
https://github.com/ashleylqx/aib
공식 코드Information Bottleneck Approach to Spatial Attention Learning
https://github.com/ashudeep/ranking-fairness-uncertainty
공식 코드https://github.com/asl-epfl/sml_it_2023
공식 코드Learning from Heterogeneous Data Based on Social Interactions over Graphs
https://github.com/asneha213/spiking-agent-RL
공식 코드Training spiking neural networks using reinforcement learning
https://github.com/aspannaus/dl-interpretability
공식 코드https://github.com/astralex98/long-term-drought-prediction
공식 코드Long-term drought prediction using deep neural networks based on geospatial weather data
https://github.com/aswinpaul/aimmppcl_2023
공식 코드On Predictive planning and counterfactual learning in active inference
https://github.com/asyncs/irs
공식 코드Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
https://github.com/atenanaz/chatgpt-healthprompt
공식 코드https://github.com/atilman/evolutionforecasting
공식 코드The evolution of forecasting for decision making in dynamic environments
https://github.com/atlaie/ethical-llms
공식 코드Exploring and steering the moral compass of Large Language Models
https://github.com/attribution-bottleneck/attribution-bottleneck-pytorch
공식 코드Restricting the Flow: Information Bottlenecks for Attribution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.