https://github.com/computationalprivacy/ml-correlation-inference
공식 코드Correlation inference attacks against machine learning models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Correlation inference attacks against machine learning models
Machine learning for sports betting: should model selection be based on accuracy or calibration?
A code-driven tutorial on encrypted control: From pioneering realizations to modern implementations
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation
Cross-Loss Influence Functions to Explain Deep Network Representations
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach
Optimal decision making in robotic assembly and other trial-and-error tasks
Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
Enhancing Robot Learning through Learned Human-Attention Feature Maps
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4
MineStudio: A Streamlined Package for Minecraft AI Agent Development
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
Preference Transformer: Modeling Human Preferences using Transformers for RL
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.