conftrace_

hidden markov model

302 papers

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Also known as

HMM

Co-occurring keywords

deep neural network (1803) bayesian inference (1907) gaussian mixture model (389) automatic speech recognition (1774) variational inference (2069) speech recognition (1226) recurrent neural network (1790) time series (435) acoustic model (277) neural network (6616)

Papers

Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception AAAI 2026
Corpus-Dependent Subcharacter Encoding via HMM-Guided Code Assignment ACL 2026
TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules ACL 2025
Frontiers to the learning of nonparametric hidden Markov models JMLR 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025
TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules SEMEVAL 2025
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques NAACL 2025
Beyond cognacy ACL 2025
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024
MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning IJCAI 2024
Inference of Neural Dynamics Using Switching Recurrent Neural Networks NIPS 2024
Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech Recognition COLING 2024
Adaptable Logical Control for Large Language Models NIPS 2024
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes COLT 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Non-Autoregressive Machine Translation as Constrained HMM ACL 2024
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics NIPS 2024
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality INTERSPEECH 2024
State and parameter learning with PARIS particle Gibbs ICML 2023
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023
A New Modeling Framework for Continuous, Sequential Domains AISTATS 2023
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023
Switching Autoregressive Low-rank Tensor Models NIPS 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023
Topological Hidden Markov Models JMLR 2023