Cover Image

BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barkan, Oren, Elisha, Yehonatan, Weill, Jonathan, Koenigstein, Noam
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
by: Elisha, Yehonatan, et al.
Published: (2026)

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
by: Elisha, Yehonatan, et al.
Published: (2025)

Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
by: Arviv, Dor, et al.
Published: (2025)

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
by: Barkan, Oren, et al.
Published: (2025)

Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization
by: Alahmadi, Muhammad J., et al.
Published: (2026)

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
by: Niu, Zenghao, et al.
Published: (2025)

InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
by: Yehuda, Yakir, et al.
Published: (2024)

Pixel-level Certified Explanations via Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2025)

MetaFormer Baselines for Vision
by: Yu, Weihao, et al.
Published: (2022)

From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
by: Zhang, Cenwei, et al.
Published: (2026)

Dataset Distillation via the Wasserstein Metric
by: Liu, Haoyang, et al.
Published: (2023)

Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper
by: Miyai, Atsuyuki, et al.
Published: (2025)

Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems
by: Islam, Chashi Mahiul, et al.
Published: (2024)

Explanation Bottleneck Models
by: Yamaguchi, Shin'ya, et al.
Published: (2024)

Pathways on the Image Manifold: Image Editing via Video Generation
by: Rotstein, Noam, et al.
Published: (2024)

Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
by: Adachi, Kazuki, et al.
Published: (2022)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)

Adversarial Exploitation of Data Diversity Improves Visual Localization
by: Li, Sihang, et al.
Published: (2024)

CHEEM: Continual Learning by Reuse, New, Adapt and Skip -- A Hierarchical Exploration-Exploitation Approach
by: Savadikar, Chinmay, et al.
Published: (2023)

A Simple Baseline for Stable and Plastic Neural Networks
by: Künzel, Étienne, et al.
Published: (2025)

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
by: Chen, Hao, et al.
Published: (2022)

Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
by: Wang, Ying, et al.
Published: (2023)

Universal Bovine Identification via Depth Data and Deep Metric Learning
by: Sharma, Asheesh, et al.
Published: (2024)

MEGL: Multimodal Explanation-Guided Learning
by: Zhang, Yifei, et al.
Published: (2024)

Guaranteed Optimal Compositional Explanations for Neurons
by: La Rosa, Biagio, et al.
Published: (2025)

DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration
by: Tang, Jinzhou, et al.
Published: (2026)

Improved Baselines with Representation Autoencoders
by: Singh, Jaskirat, et al.
Published: (2026)

PAVE: Patching and Adapting Video Large Language Models
by: Liu, Zhuoming, et al.
Published: (2025)

Adapting Vision-Language Models for Evaluating World Models
by: Hendriksen, Mariya, et al.
Published: (2025)

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
by: Wall, Casey, et al.
Published: (2025)

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
by: Wang, Zhengbo, et al.
Published: (2024)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
by: Frascaroli, Emanuele, et al.
Published: (2024)

SortScrews: A Dataset and Baseline for Real-time Screw Classification
by: Fu, Tianhao, et al.
Published: (2026)

On Spectral Properties of Gradient-based Explanation Methods
by: Mehrpanah, Amir, et al.
Published: (2025)

Measuring the (Un)Faithfulness of Concept-Based Explanations
by: Kumar, Shubham, et al.
Published: (2025)

Open Vocabulary Compositional Explanations for Neuron Alignment
by: La Rosa, Biagio, et al.
Published: (2025)

Visual Modality Prompt for Adapting Vision-Language Object Detectors
by: Medeiros, Heitor R., et al.
Published: (2024)

VisTabNet: Adapting Vision Transformers for Tabular Data
by: Wydmański, Witold, et al.
Published: (2024)

MedExpMem: Adapting Experience Memory for Differential Diagnosis
by: Feng, Qianhan, et al.
Published: (2026)

GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data
by: Platnick, Daniel, et al.
Published: (2024)