Huan Wang

Julian J. McAuley

CoRR, 2022

A Conversational Paradigm for Program Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.

[BibT_eX]

[DOI]

CoRR, 2022

Local calibration: metrics and recalibration.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient and Differentiable Conformal Prediction with General Function Classes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles.

[BibT_eX]

[DOI]

CoRR, 2021

Merlion: A Machine Learning Library for Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Localized Calibration: Metrics and Recalibration.

[BibT_eX]

[DOI]

CoRR, 2021

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evaluating State-of-the-Art Classification Models Against Bayes Optimality.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding the Under-Coverage Bias in Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization.

[BibT_eX]

[DOI]

Stanislaw Jastrzebski

Proceedings of the 38th International Conference on Machine Learning, 2021

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

How Important is the Train-Validation Split in Meta-Learning?

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Unsupervised Paraphrasing with Pretrained Language Models.

[BibT_eX]

[DOI]

Tong Niu

Semih Yavuz

Yingbo Zhou

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Unsupervised Paraphrase Generation via Dynamic Blocking.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Understanding Hierarchical Learning: Benefits of Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Assessing Local Generalization Capability in Deep Models.

[BibT_eX]

[DOI]

Richard Socher

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models.

[BibT_eX]

[DOI]

CoRR, 2019

Global Capacity Measures for Deep ReLU Networks via Path Sampling.

[BibT_eX]

[DOI]

Ryan Theisen

Jason M. Klusowski

Richard Socher

CoRR, 2019

On the Generalization Gap in Reparameterizable Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Identifying Generalization Properties in Neural Networks.

[BibT_eX]

[DOI]