interpretability

Compositional Few-Shot Class-Incremental Learning ICML 2024 Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024 Contextual Feature Selection with Conditional Stochastic Gates ICML 2024 Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning ICML 2024 Don’t trust your eyes: on the (un)reliability of feature visualizations ICML 2024 Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers ICML 2024 From Neurons to Neutrons: A Case Study in Interpretability ICML 2024 Graph Neural Network Explanations are Fragile ICML 2024 Grokking Group Multiplication with Cosets ICML 2024 Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving CoRL 2024 How Interpretable Are Interpretable Graph Neural Networks? ICML 2024 Iterative Search Attribution for Deep Neural Networks ICML 2024 Language Models Represent Beliefs of Self and Others ICML 2024 Mechanistic Neural Networks for Scientific Machine Learning ICML 2024 Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models ICML 2024 Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience ICML 2024 Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities ICML 2024 Position: Technical Research and Talent is Needed for Effective AI Governance ICML 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 Probabilistic Constrained Reinforcement Learning with Formal Interpretability ICML 2024 ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data ICML 2024 Robotic Control via Embodied Chain-of-Thought Reasoning CoRL 2024 Second-Order Uncertainty Quantification: A Distance-Based Approach ICML 2024 Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis MLHC 2024 SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting ICML 2024