Papers with Code 아카이브

Decision Making

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

2

보존된 평가 기록

2

코드

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

https://github.com/peeples-lab/xai_analysis

공식 코드

Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification

https://github.com/pendu/containergym

공식 코드

ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation

https://github.com/pengyang7881187/sicmdp-new

공식 코드

Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning

https://github.com/penn-pal-lab/liv

공식 코드

LIV: Language-Image Representations and Rewards for Robotic Control

https://github.com/pereira-gha/activefire

공식 코드

Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study

https://github.com/pereirabarataap/fair_tree_classifier

공식 코드

Fair Tree Classifier using Strong Demographic Parity

https://github.com/perubhardwaj/attributionattack

공식 코드

Adversarial Robustness of Representation Learning for Knowledge Graphs

https://github.com/perubhardwaj/inferenceattack

공식 코드

Adversarial Robustness of Representation Learning for Knowledge Graphs

https://github.com/peterhan91/Medical-Robust-Training

공식 코드

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization

https://github.com/petrichor625/batraj-behavior-aware-model

공식 코드

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving

https://github.com/petrichor625/hltp

공식 코드

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving

https://github.com/peweetheman/reinforcement_learning_in_two_player_simultaneous_action_games

공식 코드

Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games

https://github.com/pgmpy/pgmpy

공식 코드

pgmpy: A Python Toolkit for Bayesian Networks

https://github.com/phenetos/calibrationattack

공식 코드

Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence

https://github.com/phi-ra/SequentialFairness

공식 코드

A Sequentially Fair Mechanism for Multiple Sensitive Attributes

https://github.com/phi-ra/fairmultitask

공식 코드

Fairness in Multi-Task Learning via Wasserstein Barycenters

https://github.com/philipp-andelfinger/discograd

공식 코드

Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making

https://github.com/philrod1/james

공식 코드

Ensemble Framework for Real-time Decision Making

https://github.com/phoenixrider12/visual_failure_mitigation

공식 코드

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers

https://github.com/phosseini/GisPy

공식 코드

GisPy: A Tool for Measuring Gist Inference Score in Text

https://github.com/pic-romain/unet-pp

공식 코드

Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts

https://github.com/picsolab/vispur

공식 코드

VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions

https://github.com/pillowsofwind/llm-cbrn-risks

공식 코드

Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents

https://github.com/pin-ai/god-model

공식 코드

GOD model: Privacy Preserved AI School for Personal Assistant

https://github.com/piotr-komorowski/towards-evaluating-explanations-of-vit

공식 코드

Towards Evaluating Explanations of Vision Transformers for Medical Imaging

https://github.com/pipihaiziguai/t3omvp

공식 코드

$ \text{T}^3 $OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area

https://github.com/pipiku915/FinMem-LLM-StockTrading/blob/main/README.md

공식 코드

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pipiku915/finmem-llm-stocktrading

공식 코드

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pjlab-adg/gpt4v-ad-exploration

공식 코드

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

https://github.com/pjlab-adg/leapad

공식 코드

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

https://github.com/pjsac/transworldng

공식 코드

TransWorldNG: Traffic Simulation via Foundation Model

https://github.com/pkassraie/NNUCB

공식 코드

Neural Contextual Bandits without Regret

https://github.com/pku-marl/multi-agent-transformer

공식 코드

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

https://github.com/pku-rl/adarefiner

공식 코드

AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback

https://github.com/pku-yuangroup/video-bench

공식 코드

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

https://github.com/pkunlp-icler/pca-eval

공식 코드

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.