log-linear model

Optimal Submanifold Structure in Log-linear Models UAI 2025 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024 Log-linear Guardedness and its Implications ACL 2023 Automatic Learning of Subword Dependent Model Scales Interspeech 2022 Early Stage LM Integration Using Local and Global Log-Linear Combination Interspeech 2020 Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation EMNLP 2020 Global Autoregressive Models for Data-Efficient Sequence Learning CoNLL 2019 Ontology-Mediated Query Answering over Log-Linear Probabilistic Data AAAI 2019 Causal Structure Learning via Temporal Markov Networks PGM 2018 Leveraging Second-Order Log-Linear Model for Improved Deep Learning Based ASR Performance Interspeech 2018 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018 Knowledge Tracing in Sequential Learning of Inflected Vocabulary CoNLL 2017 Neural Probabilistic Model for Non-projective MST Parsing IJCNLP 2017 Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017 Data-driven learning of symbolic constraints for a log-linear model in a phonological setting COLING 2016 Learning and Inference via Maximum Inner Product Search ICML 2016 Log-Linear System Combination Using Structured Support Vector Machines Interspeech 2016 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 Computational Education using Latent Structured Prediction AISTATS 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Hope and Fear for Discriminative Training of Statistical Translation Models JMLR 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 A Convergence Analysis of Log-Linear Training NeurIPS 2011 Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010 Gated Softmax Classification NeurIPS 2010