Noam Koenigstein
15 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Papers
Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
CVPR 2026
Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
AAAI 2026
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
AAAI 2026
Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
AAAI 2026
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
AAAI 2025
Soft Local Completeness: Rethinking Completeness in XAI
ICCV 2025
Improving LLM Attributions with Randomized Path-Integration
EMNLP 2024
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
ACL 2024
LLM Explainability via Attributive Masking Learning
EMNLP 2024
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
ICCV 2023
Visual Explanations via Iterated Integrated Attributions
ICCV 2023
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
ACL 2021
Bayesian Hierarchical Words Representation Learning
ACL 2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations
EMNLP 2020
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding
AAAI 2020