Lei Yu

Learning and Evaluating General Linguistic Intelligence

We define general linguistic intelligence as the ability to reuse previo...
01/31/2019 ∙ by Dani Yogatama, et al. ∙ 8 ∙ share

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CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network

Convolutional Sparse Coding (CSC) has been attracting more and more atte...
08/03/2019 ∙ by Menglei Zhang, et al. ∙ 4 ∙ share

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Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

Membership inference attacks seek to infer the membership of individual ...
11/21/2019 ∙ by Stacey Truex, et al. ∙ 2 ∙ share

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Automatic Streaming Segmentation of Stereo Video Using Bilateral Space

In this paper, we take advantage of binocular camera and propose an unsu...
10/10/2017 ∙ by Wenjing Ke, et al. ∙ 0 ∙ share

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Online Segment to Segment Neural Transduction

We introduce an online neural sequence to sequence model that learns to ...
09/26/2016 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring

Fisher vector has been widely used in many multimedia retrieval and visu...
04/12/2016 ∙ by Wenying Ma, et al. ∙ 0 ∙ share

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The Neural Noisy Channel

We formulate sequence to sequence transduction as a noisy channel decodi...
11/08/2016 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Neural Variational Inference for Text Processing

Recent advances in neural variational inference have spawned a renaissan...
11/19/2015 ∙ by Yishu Miao, et al. ∙ 0 ∙ share

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The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge

Many existing speaker verification systems are reported to be vulnerable...
07/24/2015 ∙ by Shitao Weng, et al. ∙ 0 ∙ share

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Deep Learning for Answer Sentence Selection

Answer sentence selection is the task of identifying sentences that cont...
12/04/2014 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Asymptotic Coupling and Its Applications in Information Theory

A coupling of two distributions P_X and P_Y is a joint distribution P_XY...
12/19/2017 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Diverse Exploration for Fast and Safe Policy Improvement

We study an important yet under-addressed problem of quickly and safely ...
02/22/2018 ∙ by Andrew Cohen, et al. ∙ 0 ∙ share

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Simulation of Random Variables under Rényi Divergence Measures of All Orders

The random variable simulation problem consists in using a k-dimensional...
05/31/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Adversarial Examples in Deep Learning: Characterization and Divergence

The burgeoning success of deep learning has raised the security and priv...
06/29/2018 ∙ by Wenqi Wei, et al. ∙ 0 ∙ share

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Towards Demystifying Membership Inference Attacks

Membership inference attacks seek to infer membership of individual trai...
06/28/2018 ∙ by Stacey Truex, et al. ∙ 0 ∙ share

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On Exact and ∞-Rényi Common Informations

Recently, two extensions of Wyner's common information — exact and Rényi...
09/30/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Beyond the Central Limit Theorem: Universal and Non-universal Simulations of Random Variables by General Mappings

The Central Limit Theorem states that a standard Gaussian random variabl...
08/06/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Corrections to "Wyner's Common Information under Rényi Divergence Measures"

In this correspondence, we correct an erroneous argument in the proof of...
10/05/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Sentence Encoding with Tree-constrained Relation Networks

The meaning of a sentence is a function of the relations that hold betwe...
11/26/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding

We propose a simple yet effective model for Single Image Super-Resolutio...
12/31/2018 ∙ by Menglei Zhang, et al. ∙ 0 ∙ share

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Tackling Sequence to Sequence Mapping Problems with Neural Networks

In Natural Language Processing (NLP), it is important to detect the rela...
10/25/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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On Conditional Correlations

The Pearson correlation, correlation ratio, and maximal correlation have...
11/09/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Diverse Exploration via Conjugate Policies for Policy Gradient Methods

We address the challenge of effective exploration while maintaining good...
02/10/2019 ∙ by Andrew Cohen, et al. ∙ 0 ∙ share

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Variational Smoothing in Recurrent Neural Network Language Models

We present a new theoretical perspective of data noising in recurrent ne...
01/27/2019 ∙ by Lingpeng Kong, et al. ∙ 0 ∙ share

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Unsupervised Recurrent Neural Network Grammars

Recurrent neural network grammars (RNNG) are generative models of langua...
04/07/2019 ∙ by Yoon Kim, et al. ∙ 0 ∙ share

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Differentially Private Model Publishing for Deep Learning

Deep learning techniques based on neural networks have shown significant...
04/03/2019 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Bounds on the Average Distance and Distance Enumerator with Applications to Non-Interactive Simulation

We leverage proof techniques in coding theory and Fourier analysis to de...
04/08/2019 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Exact Channel Synthesis

We consider the exact channel synthesis problem, which is the problem of...
10/30/2018 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Facial Feature Embedded CycleGAN for VIS-NIR Translation

VIS-NIR face recognition remains a challenging task due to the distincti...
04/20/2019 ∙ by Huijiao Wang, et al. ∙ 0 ∙ share

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Deep learning scheme for microwave photonic analog broadband signal recovery

In regular microwave photonic (MWP) processing paradigms, broadband sign...
07/17/2019 ∙ by Shaofu Xu, et al. ∙ 0 ∙ share

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Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks

Learning Rate (LR) is an important hyper-parameter to tune for effective...
08/18/2019 ∙ by Yanzhao Wu, et al. ∙ 0 ∙ share

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Putting Machine Translation in Context with the Noisy Channel Model

We show that Bayes' rule provides a compelling mechanism for controlling...
10/01/2019 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Learning Cluster Structured Sparsity by Reweighting

Recently, the paradigm of unfolding iterative algorithms into finite-len...
10/11/2019 ∙ by Yulun Jiang, et al. ∙ 0 ∙ share

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A Mutual Information Maximization Perspective of Language Representation Learning

We show state-of-the-art word representation learning methods maximize a...
10/18/2019 ∙ by Lingpeng Kong, et al. ∙ 0 ∙ share

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Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning

Two hitherto disconnected threads of research, diverse exploration (DE) ...
11/03/2019 ∙ by Andrew Cohen, et al. ∙ 0 ∙ share

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Asymptotics of Strassen's Optimal Transport Problem

In this paper, we consider Strassen's version of optimal transport probl...
12/04/2019 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Asymptotics for Strassen's Optimal Transport Problem

In this paper, we consider Strassen's version of optimal transport probl...
12/04/2019 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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An Improved Linear Programming Bound on the Average Distance of a Binary Code

Ahlswede and Katona (1977) posed the following isodiametric problem in H...
10/21/2019 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Lei Yu

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