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jensen-shannon divergence

49 papers

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Also known as

JS DIVERGENCE JS JSD

Co-occurring keywords

generative adversarial network (1944) wasserstein distance (417) large language model (13587) language model (4599) generative model (2892) distribution matching (127) adversarial training (1262) uncertainty quantification (1393) domain generalization (1522) educational outcome (3)

Papers

An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models NAACL 2022
Robust Imitation Learning against Variations in Environment Dynamics ICML 2022
Cooperative Distribution Alignment via JSD Upper Bound NIPS 2022
Contrastive Laplacian Eigenmaps NIPS 2021
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions IJCNLP 2021
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions ACL 2021
Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion EMNLP 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels NIPS 2021
Multi-task Learning by Leveraging the Semantic Information AAAI 2021
Constraining Variational Inference with Geometric Jensen-Shannon Divergence NIPS 2020
Flow Contrastive Estimation of Energy-Based Models CVPR 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence NIPS 2020
CoT: Cooperative Training for Generative Modeling of Discrete Data ICML 2019
Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data INTERSPEECH 2019
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications ICML 2019
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019
A Convex Duality Framework for GANs NIPS 2018
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training AISTATS 2018
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function ACL 2017
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces AISTATS 2016
Supervised Binary Hash Code Learning with Jensen Shannon Divergence ICCV 2013
Nonextensive Information Theoretic Kernels on Measures JMLR 2009
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003