https://github.com/PierreBlanchart/CMBDTC
공식 코드An exact counterfactual-example-based approach to tree-ensemble models interpretability
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
An exact counterfactual-example-based approach to tree-ensemble models interpretability
FedDebug: Systematic Debugging for Federated Learning Applications
BALANCE: Bayesian Linear Attribution for Root Cause Localization
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Benchmarking and Enhancing LLM Agents in Localizing Linux Kernel Bugs
NNrepair: Constraint-based Repair of Neural Network Classifiers
CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Cases
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Path Analysis for Effective Fault Localization in Deep Neural Networks
AequeVox: Automated Fairness Testing of Speech Recognition Systems
Explaining Image Classifiers using Statistical Fault Localization
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.