Search Results for author: Xinjie Fan

Found 11 papers, 5 papers with code

On hyperparameter tuning in general clustering problemsm

no code implementations ICML 2020 Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang

Tuning hyperparameters for unsupervised learning problems is difficult in general due to the lack of ground truth for validation.

Clustering Community Detection +1

Alignment Attention by Matching Key and Query Distributions

1 code implementation NeurIPS 2021 Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou

The neural attention mechanism has been incorporated into deep neural networks to achieve state-of-the-art performance in various domains.

Graph Attention Question Answering +1

A Prototype-Oriented Framework for Unsupervised Domain Adaptation

1 code implementation NeurIPS 2021 Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou

Existing methods for unsupervised domain adaptation often rely on minimizing some statistical distance between the source and target samples in the latent space.

Unsupervised Domain Adaptation

Bayesian Attention Belief Networks

no code implementations9 Jun 2021 Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou

Attention-based neural networks have achieved state-of-the-art results on a wide range of tasks.

Decoder Machine Translation +3

Bayesian Attention Modules

1 code implementation NeurIPS 2020 Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou

Attention modules, as simple and effective tools, have not only enabled deep neural networks to achieve state-of-the-art results in many domains, but also enhanced their interpretability.

Image Captioning Machine Translation +4

Attention that does not Explain Away

no code implementations29 Sep 2020 Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut

Models based on the Transformer architecture have achieved better accuracy than the ones based on competing architectures for a large set of tasks.

Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation

1 code implementation ICLR 2020 Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou

To stabilize this method, we adapt to contextual generation of categorical sequences a policy gradient estimator, which evaluates a set of correlated Monte Carlo (MC) rollouts for variance control.

Image Captioning Program Synthesis

A Unified Framework for Tuning Hyperparameters in Clustering Problems

no code implementations17 Oct 2019 Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang

In this paper, we provide a framework with provable guarantees for selecting hyperparameters in a number of distinct models.

Clustering Community Detection +1

Multilinear Hyperplane Hashing

no code implementations CVPR 2016 Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, DaCheng Tao

Despite its successful progress in classic point-to-point search, there are few studies regarding point-to-hyperplane search, which has strong practical capabilities of scaling up in many applications like active learning with SVMs.

Active Learning Quantization

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