b'Lei Yu'

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
06/07/2021 ∙ by Goutam Bhat, et al. ∙ 0 ∙ share

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Diverse Pretrained Context Encodings Improve Document Translation

We propose a new architecture for adapting a sentence-level sequence-to-...
06/07/2021 ∙ by Domenic Donato, et al. ∙ 0 ∙ share

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The Convexity and Concavity of Envelopes of the Minimum-Relative-Entropy Region for the DSBS

In this paper, we prove that for the doubly symmetric binary distributio...
06/07/2021 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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On the Φ-Stability and Related Conjectures

Let 𝐗 be a random variable uniformly distributed on the discrete cube { ...
04/18/2021 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Pretraining the Noisy Channel Model for Task-Oriented Dialogue

Direct decoding for task-oriented dialogue is known to suffer from the e...
03/18/2021 ∙ by Qi Liu, et al. ∙ 6 ∙ share

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Event-based Synthetic Aperture Imaging with a Hybrid Network

Synthetic aperture imaging (SAI) is able to achieve the see through effe...
03/03/2021 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Strong Brascamp-Lieb Inequalities

In this paper, we derive sharp nonlinear dimension-free Brascamp-Lieb in...
02/13/2021 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity

In this paper, we introduce the concept of a type graph, namely a bipart...
02/01/2021 ∙ by Lei Yu, et al. ∙ 0 ∙ share

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MAAC: Novel Alert Correlation Method To Detect Multi-step Attack

With the continuous improvement of attack methods, there are more and mo...
11/16/2020 ∙ by Xiaoyu Wang, et al. ∙ 0 ∙ share

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ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras

Line segment detection is essential for high-level tasks in computer vis...
11/06/2020 ∙ by Hao Li, et al. ∙ 2 ∙ share

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Inferring symmetry in natural language

We present a methodological framework for inferring symmetry of verb pre...
10/16/2020 ∙ by Chelsea Tanchip, et al. ∙ 0 ∙ share

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Mixed Noise Removal with Pareto Prior

Denoising images contaminated by the mixture of additive white Gaussian ...
08/27/2020 ∙ by Zhou Liu, et al. ∙ 0 ∙ share

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Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor

Lane marker extraction is a basic yet necessary task for autonomous driv...
08/14/2020 ∙ by Wensheng Cheng, et al. ∙ 4 ∙ share

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Event Enhanced High-Quality Image Recovery

With extremely high temporal resolution, event cameras have a large pote...
07/16/2020 ∙ by Bishan Wang, et al. ∙ 0 ∙ share

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Implicit Euler ODE Networks for Single-Image Dehazing

Deep convolutional neural networks (CNN) have been applied for image deh...
07/13/2020 ∙ by Jiawei Shen, et al. ∙ 0 ∙ share

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Modelling High-Level Mathematical Reasoning in Mechanised Declarative Proofs

Mathematical proofs can be mechanised using proof assistants to eliminat...
06/13/2020 ∙ by Wenda Li, et al. ∙ 0 ∙ share

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Capturing document context inside sentence-level neural machine translation models with self-training

Neural machine translation (NMT) has arguably achieved human level parit...
03/11/2020 ∙ by Elman Mansimov, et al. ∙ 0 ∙ share

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Matching Neuromorphic Events and Color Images via Adversarial Learning

The event camera has appealing properties: high dynamic range, low laten...
03/02/2020 ∙ by Fang Xu, et al. ∙ 6 ∙ share

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Edge-Isoperimetric Inequalities and Ball-Noise Stability: Linear Programming and Probabilistic Approaches

Let Q_n^r be the r-power of the hypercube {-1,1}^n. The discrete edge-is...
02/09/2020 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Lei Yu

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