conftrace_

sensitivity analysis

80 papers

Explore in graph

Co-occurring keywords

causal inference (1630) differential privacy (1016) neural network (6616) bayesian inference (1907) gaussian process (1200) unobserved confounding (23) uncertainty quantification (1393) transformer model (1996) partial identification (16) feature attribution (280)

Papers

A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning AAAI 2026
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning CVPR 2025
LLM Sensitivity Evaluation Framework for Clinical Diagnosis COLING 2025
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation ACL 2025
Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results IJCAI 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks AAAI 2025
Evaluating Sensitivity Consistency of Explanations WACV 2025
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding JMLR 2025
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
Some Constructions of Private, Efficient, and Optimal $K$-Norm and Elliptic Gaussian Noise COLT 2024
Causal Dependence Plots NIPS 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security L4DC 2024
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models AAAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Computing epidemic metrics with edge differential privacy AISTATS 2024
Differentially Private Topological Data Analysis JMLR 2024
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP ACL 2023
Sensitivity-Free Gradient Descent Algorithms JMLR 2023
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023