transition matrix

Explaining ViTs Using Information Flow AISTATS 2025 Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025 Multi-Instance Multi-Label Classification from Crowdsourced Labels AAAI 2025 Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning ICLR 2024 Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning CVPR 2024 A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond ICLR 2023 Identifiability of Label Noise Transition Matrix ICML 2023 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023 Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features ICML 2022 Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization NeurIPS 2022 Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network ICML 2022 Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning NeurIPS 2022 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model ICML 2022 Modeling Adversarial Noise for Adversarial Training ICML 2022 A Universal 2-state n-action Adaptive Management Solver AAAI 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels ICML 2021 Learning and Testing Irreducible Markov Chains via the k-Cover Time ALT 2021 Provably End-to-end Label-noise Learning without Anchor Points ICML 2021 Structured Denoising Diffusion Models in Discrete State-Spaces NeurIPS 2021 Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NeurIPS 2020 Part-dependent Label Noise: Towards Instance-dependent Label Noise NeurIPS 2020 Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS 2019 Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector AAAI 2019 Learning Multiple Markov Chains via Adaptive Allocation NeurIPS 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019