conftrace_

interpretable model

158 papers

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Co-occurring keywords

neural network (6616) interpretable machine learning (140) decision tree (322) feature selection (649) attention mechanism (4001) large language model (13587) model interpretability (519) feature learning (1311) representation learning (6206) concept bottleneck model (43)

Papers

Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024
Language Model Guided Interpretable Video Action Reasoning CVPR 2024
Coarse-to-Fine Concept Bottleneck Models NIPS 2024
Wrapper Boxes for Faithful Attribution of Model Predictions to Training Data EMNLP 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024
NeSyFOLD: A Framework for Interpretable Image Classification AAAI 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NIPS 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Incremental Residual Concept Bottleneck Models CVPR 2024
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NIPS 2024
Interpretable Mesomorphic Networks for Tabular Data NIPS 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024
On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024
A Submodular Optimization Approach to Accountable Loan Approval AAAI 2024
It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons EACL 2024
Generative Model for Decision Trees AAAI 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters NIPS 2024
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable NIPS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024
A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024
Analyzing Semantic Change through Lexical Replacements ACL 2024
A Functional Extension of Semi-Structured Networks NIPS 2024