conftrace_

noise contrastive estimation

36 papers

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Also known as

NCE

Co-occurring keywords

contrastive learning (4032) representation learning (6206) energy-based model (251) language modeling (660) neural language model (255) language model (4599) importance sampling (318) negative sampling (196) generative model (2892) word embedding (1764)

Papers

Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks AAAI 2025
Your contrastive learning problem is secretly a distribution alignment problem NIPS 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition EACL 2024
Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning NIPS 2024
Noise Contrastive Alignment of Language Models with Explicit Rewards NIPS 2024
Introducing Self-Supervised Phonetic Information for Text-Independent Speaker Verification INTERSPEECH 2023
Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023
Hierarchical Contrastive Learning for Temporal Point Processes AAAI 2023
Self-Normalized Importance Sampling for Neural Language Modeling INTERSPEECH 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model NIPS 2022
Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML 2022
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022
Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021
Information criteria for non-normalized models JMLR 2021
On Sampling-Based Training Criteria for Neural Language Modeling INTERSPEECH 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models EACL 2021
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings AISTATS 2021
Understanding Hard Negatives in Noise Contrastive Estimation NAACL 2021
Mutual Information Estimation using LSH Sampling IJCAI 2020
Flow Contrastive Estimation of Energy-Based Models CVPR 2020
Imputation estimators for unnormalized models with missing data AISTATS 2020
Experimenting with Power Divergences for Language Modeling EMNLP 2019