Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2024
ACML
ACML 2024
Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics
Authors
Hanwei Zhang
,
Felipe Torres Figueroa
,
Holger Hermanns
Download PDF
Related papers
MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures
2024
Towards Calibrated Losses for Adversarial Robust Reject Option Classification
2024
Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL
2024
Analyzing Diffusion Models on Synthesizing Training Datasets
2024
A Single-Stage Multi-Style License Plate Recognition Method Based on Attention
2024