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Interpretability

7,318 papers

Papers per year

Papers

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NIPS 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NIPS 2024
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NIPS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
On the Worst Prompt Performance of Large Language Models NIPS 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NIPS 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation NIPS 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024
Neural Concept Binder NIPS 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NIPS 2024
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NIPS 2024
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus NIPS 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NIPS 2024
UMB: Understanding Model Behavior for Open-World Object Detection NIPS 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NIPS 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models NIPS 2024
Transformers Represent Belief State Geometry in their Residual Stream NIPS 2024
Video Diffusion Models are Training-free Motion Interpreter and Controller NIPS 2024
Testing Semantic Importance via Betting NIPS 2024
Relational Concept Bottleneck Models NIPS 2024
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance NIPS 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NIPS 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters NIPS 2024
Compact Proofs of Model Performance via Mechanistic Interpretability NIPS 2024