conftrace_

black-box model

90 papers

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Co-occurring keywords

model explanation (155) large language model (13587) model interpretability (519) knowledge distillation (3725) domain adaptation (4595) local explanation (42) transfer learning (5449) surrogate model (181) in-context learning (1405) model-agnostic explanation (18)

Papers

Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis NAACL 2022
NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights AAAI 2022
Exploring Effective Data for Surrogate Training Towards Black-Box Attack CVPR 2022
DINE: Domain Adaptation From Single and Multiple Black-Box Predictors CVPR 2022
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference AAAI 2022
Constraint-Driven Explanations for Black-Box ML Models AAAI 2022
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models AAAI 2022
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation AAAI 2022
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models ACL 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations NIPS 2022
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection NIPS 2022
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Explanations for Monotonic Classifiers. ICML 2021
Learning Groupwise Explanations for Black-Box Models IJCAI 2021
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021
Auditing Black-Box Prediction Models for Data Minimization Compliance NIPS 2021
Understanding Pre-Editing for Black-Box Neural Machine Translation EACL 2021
Explanations for Occluded Images ICCV 2021
Provably efficient, succinct, and precise explanations NIPS 2021
Characterizing the risk of fairwashing NIPS 2021
Interpretable Companions for Black-Box Models AISTATS 2020
On Second-Order Group Influence Functions for Black-Box Predictions ICML 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020