noise contrastive estimation

Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022 The optimal noise in noise-contrastive learning is not what you think UAI 2022 A Contrastive Learning Approach for Training Variational Autoencoder Priors NeurIPS 2021 Information criteria for non-normalized models JMLR 2021 Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models EACL 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021 On Sampling-Based Training Criteria for Neural Language Modeling Interspeech 2021 Understanding Hard Negatives in Noise Contrastive Estimation NAACL 2021 CoMIR: Contrastive Multimodal Image Representation for Registration NeurIPS 2020 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 Imputation estimators for unnormalized models with missing data AISTATS 2020 Mutual Information Estimation using LSH Sampling IJCAI 2020 Noise-Contrastive Estimation for Multivariate Point Processes NeurIPS 2020 Residual Energy-Based Models for Text Generation ICLR 2020 Estimation of Non-Normalized Mixture Models AISTATS 2019 Experimenting with Power Divergences for Language Modeling EMNLP 2019 Variational Noise-Contrastive Estimation AISTATS 2019 Adversarial Contrastive Estimation ACL 2018 Candidates vs. Noises Estimation for Large Multi-Class Classification Problem ICML 2018 Conditional Noise-Contrastive Estimation of Unnormalised Models ICML 2018 Efficient Language Model Adaptation with Noise Contrastive Estimation and Kullback-Leibler Regularization Interspeech 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018 Learning with Noise-Contrastive Estimation: Easing training by learning to scale COLING 2018 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018