Co-occurring keywords · papers mentioning both
Papers
A Bag-of-Prototypes Representation for Dataset-Level Applications
CVPR 2023
Aligning Language Models with Preferences through f-divergence Minimization
ICML 2023
Compute-Efficient Churn Reduction for Conversational Agents
EMNLP 2023
Conjugate Gradient Method for Generative Adversarial Networks
AISTATS 2023
Mode-Seeking Divergences: Theory and Applications to GANs
AISTATS 2023
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models
NAACL 2022
Comparing Distributions by Measuring Differences that Affect Decision Making
ICLR 2022
Cooperative Distribution Alignment via JSD Upper Bound
NeurIPS 2022
DNA: Domain Generalization with Diversified Neural Averaging
ICML 2022
Efficient and Effective Augmentation Strategy for Adversarial Training
NeurIPS 2022
Robust Imitation Learning against Variations in Environment Dynamics
ICML 2022
Contrastive Laplacian Eigenmaps
NeurIPS 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
NeurIPS 2021
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
ACL 2021
Multi-task Learning by Leveraging the Semantic Information
AAAI 2021
Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion
EMNLP 2021
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
NeurIPS 2020
Flow Contrastive Estimation of Energy-Based Models
CVPR 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
NeurIPS 2020
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators
AISTATS 2019
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data
Interspeech 2019
CoT: Cooperative Training for Generative Modeling of Discrete Data
ICML 2019
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
ICML 2019
Learning Self-Imitating Diverse Policies
ICLR 2019
Risk-Sensitive Generative Adversarial Imitation Learning
AISTATS 2019