Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
Fuente:
arXiv
Saved in:
| Main Authors: | Laberge, Gabriel, Pequignot, Yann, Mathieu, Alexandre, Khomh, Foutse, Marchand, Mario |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mining Action Rules for Defect Reduction Planning
by: Oueslati, Khouloud, et al.
Published: (2024)
by: Oueslati, Khouloud, et al.
Published: (2024)
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025)
by: Taraghi, Mina, et al.
Published: (2025)
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations
by: Herbinger, Julia, et al.
Published: (2026)
by: Herbinger, Julia, et al.
Published: (2026)
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
by: Langlade, Lucas, et al.
Published: (2025)
by: Langlade, Lucas, et al.
Published: (2025)
Practical Attribution Guidance for Rashomon Sets
by: Li, Sichao, et al.
Published: (2024)
by: Li, Sichao, et al.
Published: (2024)
GIST: Generated Inputs Sets Transferability in Deep Learning
by: Tambon, Florian, et al.
Published: (2023)
by: Tambon, Florian, et al.
Published: (2023)
Machine Learning Robustness: A Primer
by: Braiek, Houssem Ben, et al.
Published: (2024)
by: Braiek, Houssem Ben, et al.
Published: (2024)
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
by: Majdinasab, Vahid, et al.
Published: (2024)
by: Majdinasab, Vahid, et al.
Published: (2024)
On the Effectiveness of Log Representation for Log-based Anomaly Detection
by: Wu, Xingfang, et al.
Published: (2023)
by: Wu, Xingfang, et al.
Published: (2023)
One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA
by: Belias, François, et al.
Published: (2025)
by: Belias, François, et al.
Published: (2025)
Resolving Predictive Multiplicity for the Rashomon Set
by: Haghighat, Parian, et al.
Published: (2026)
by: Haghighat, Parian, et al.
Published: (2026)
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
by: Majdinasab, Vahid, et al.
Published: (2025)
by: Majdinasab, Vahid, et al.
Published: (2025)
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
by: Wu, Xingfang, et al.
Published: (2024)
by: Wu, Xingfang, et al.
Published: (2024)
From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
by: Heile, Zakk, et al.
Published: (2026)
by: Heile, Zakk, et al.
Published: (2026)
Efficient Exploration of the Rashomon Set of Rule Set Models
by: Ciaperoni, Martino, et al.
Published: (2024)
by: Ciaperoni, Martino, et al.
Published: (2024)
Fault Localization in Deep Learning-based Software: A System-level Approach
by: Morovati, Mohammad Mehdi, et al.
Published: (2024)
by: Morovati, Mohammad Mehdi, et al.
Published: (2024)
Unique Rashomon Sets for Robust Active Learning
by: Nguyen, Simon, et al.
Published: (2025)
by: Nguyen, Simon, et al.
Published: (2025)
Towards Optimizing SQL Generation via LLM Routing
by: Malekpour, Mohammadhossein, et al.
Published: (2024)
by: Malekpour, Mohammadhossein, et al.
Published: (2024)
An Efficient Model Maintenance Approach for MLOps
by: Majidi, Forough, et al.
Published: (2024)
by: Majidi, Forough, et al.
Published: (2024)
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
by: Shah, Mehil B., et al.
Published: (2024)
by: Shah, Mehil B., et al.
Published: (2024)
FairFLRep: Fairness aware fault localization and repair of Deep Neural Networks
by: Openja, Moses, et al.
Published: (2025)
by: Openja, Moses, et al.
Published: (2025)
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn
by: Majdinasab, Vahid, et al.
Published: (2024)
by: Majdinasab, Vahid, et al.
Published: (2024)
CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and their Hyperparameters
by: Ewald, Fiona Katharina, et al.
Published: (2026)
by: Ewald, Fiona Katharina, et al.
Published: (2026)
Imitation Game: Reproducing Deep Learning Bugs Leveraging an Intelligent Agent
by: Shah, Mehil B, et al.
Published: (2025)
by: Shah, Mehil B, et al.
Published: (2025)
DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
by: Eerlings, Gilles, et al.
Published: (2026)
by: Eerlings, Gilles, et al.
Published: (2026)
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
by: Hsu, Ethan, et al.
Published: (2025)
by: Hsu, Ethan, et al.
Published: (2025)
Securing Time in Energy IoT: A Clock-Dynamics-Aware Spatio-Temporal Graph Attention Network for Clock Drift Attacks and Y2K38 Failures
by: Jamshidi, Saeid, et al.
Published: (2026)
by: Jamshidi, Saeid, et al.
Published: (2026)
Rashomon Sets and Model Multiplicity in Federated Learning
by: Heilmann, Xenia, et al.
Published: (2026)
by: Heilmann, Xenia, et al.
Published: (2026)
VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
by: Jin, Yuanzhe
Published: (2025)
by: Jin, Yuanzhe
Published: (2025)
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
by: Arslan, Elif, et al.
Published: (2025)
by: Arslan, Elif, et al.
Published: (2025)
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
by: Hsu, Hsiang, et al.
Published: (2024)
by: Hsu, Hsiang, et al.
Published: (2024)
Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models
by: Voria, Gianmario, et al.
Published: (2026)
by: Voria, Gianmario, et al.
Published: (2026)
Evaluating the Ability of Explanations to Disambiguate Models in a Rashomon Set
by: Rawal, Kaivalya, et al.
Published: (2026)
by: Rawal, Kaivalya, et al.
Published: (2026)
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
by: Dai, Gordon, et al.
Published: (2025)
by: Dai, Gordon, et al.
Published: (2025)
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
by: Kobylińska, Katarzyna, et al.
Published: (2023)
by: Kobylińska, Katarzyna, et al.
Published: (2023)
Data Cleaning and Machine Learning: A Systematic Literature Review
by: Côté, Pierre-Olivier, et al.
Published: (2023)
by: Côté, Pierre-Olivier, et al.
Published: (2023)
Horizon-Constrained Rashomon Sets for Chaotic Forecasting
by: Kale, Gauri, et al.
Published: (2026)
by: Kale, Gauri, et al.
Published: (2026)
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
by: Turbal, Bohdan, et al.
Published: (2026)
by: Turbal, Bohdan, et al.
Published: (2026)
Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
by: Donnelly, Jon, et al.
Published: (2025)
by: Donnelly, Jon, et al.
Published: (2025)
Chaos into Order: Neural Framework for Expected Value Estimation of Stochastic Partial Differential Equations
by: Pétursson, Ísak, et al.
Published: (2025)
by: Pétursson, Ísak, et al.
Published: (2025)
Similar Items
-
Mining Action Rules for Defect Reduction Planning
by: Oueslati, Khouloud, et al.
Published: (2024) -
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025) -
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations
by: Herbinger, Julia, et al.
Published: (2026) -
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
by: Langlade, Lucas, et al.
Published: (2025) -
Practical Attribution Guidance for Rashomon Sets
by: Li, Sichao, et al.
Published: (2024)