
NTIRE 2021 Challenge on Burst SuperResolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst superresolution. Gi...
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Diverse Pretrained Context Encodings Improve Document Translation
We propose a new architecture for adapting a sentencelevel sequenceto...
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The Convexity and Concavity of Envelopes of the MinimumRelativeEntropy Region for the DSBS
In this paper, we prove that for the doubly symmetric binary distributio...
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On the ΦStability and Related Conjectures
Let 𝐗 be a random variable uniformly distributed on the discrete cube { ...
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Pretraining the Noisy Channel Model for TaskOriented Dialogue
Direct decoding for taskoriented dialogue is known to suffer from the e...
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Eventbased Synthetic Aperture Imaging with a Hybrid Network
Synthetic aperture imaging (SAI) is able to achieve the see through effe...
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Strong BrascampLieb Inequalities
In this paper, we derive sharp nonlinear dimensionfree BrascampLieb in...
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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...
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MAAC: Novel Alert Correlation Method To Detect Multistep Attack
With the continuous improvement of attack methods, there are more and mo...
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ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
Line segment detection is essential for highlevel tasks in computer vis...
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Inferring symmetry in natural language
We present a methodological framework for inferring symmetry of verb pre...
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Mixed Noise Removal with Pareto Prior
Denoising images contaminated by the mixture of additive white Gaussian ...
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StructureAware Network for Lane Marker Extraction with Dynamic Vision Sensor
Lane marker extraction is a basic yet necessary task for autonomous driv...
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Event Enhanced HighQuality Image Recovery
With extremely high temporal resolution, event cameras have a large pote...
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Implicit Euler ODE Networks for SingleImage Dehazing
Deep convolutional neural networks (CNN) have been applied for image deh...
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Modelling HighLevel Mathematical Reasoning in Mechanised Declarative Proofs
Mathematical proofs can be mechanised using proof assistants to eliminat...
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Capturing document context inside sentencelevel neural machine translation models with selftraining
Neural machine translation (NMT) has arguably achieved human level parit...
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Matching Neuromorphic Events and Color Images via Adversarial Learning
The event camera has appealing properties: high dynamic range, low laten...
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EdgeIsoperimetric Inequalities and BallNoise Stability: Linear Programming and Probabilistic Approaches
Let Q_n^r be the rpower of the hypercube {1,1}^n. The discrete edgeis...
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Asymptotics for Strassen's Optimal Transport Problem
In this paper, we consider Strassen's version of optimal transport probl...
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Asymptotics of Strassen's Optimal Transport Problem
In this paper, we consider Strassen's version of optimal transport probl...
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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 ...
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Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning
Two hitherto disconnected threads of research, diverse exploration (DE) ...
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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...
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A Mutual Information Maximization Perspective of Language Representation Learning
We show stateoftheart word representation learning methods maximize a...
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Learning Cluster Structured Sparsity by Reweighting
Recently, the paradigm of unfolding iterative algorithms into finitelen...
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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...
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Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Learning Rate (LR) is an important hyperparameter to tune for effective...
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CRNet: Image SuperResolution Using A Convolutional Sparse Coding Inspired Network
Convolutional Sparse Coding (CSC) has been attracting more and more atte...
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Deep learning scheme for microwave photonic analog broadband signal recovery
In regular microwave photonic (MWP) processing paradigms, broadband sign...
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Facial Feature Embedded CycleGAN for VISNIR Translation
VISNIR face recognition remains a challenging task due to the distincti...
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Bounds on the Average Distance and Distance Enumerator with Applications to NonInteractive Simulation
We leverage proof techniques in coding theory and Fourier analysis to de...
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Unsupervised Recurrent Neural Network Grammars
Recurrent neural network grammars (RNNG) are generative models of langua...
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Differentially Private Model Publishing for Deep Learning
Deep learning techniques based on neural networks have shown significant...
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Diverse Exploration via Conjugate Policies for Policy Gradient Methods
We address the challenge of effective exploration while maintaining good...
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Learning and Evaluating General Linguistic Intelligence
We define general linguistic intelligence as the ability to reuse previo...
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Variational Smoothing in Recurrent Neural Network Language Models
We present a new theoretical perspective of data noising in recurrent ne...
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Image SuperResolution via RLCSC: When Residual Learning Meets Convolutional Sparse Coding
We propose a simple yet effective model for Single Image SuperResolutio...
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Sentence Encoding with Treeconstrained Relation Networks
The meaning of a sentence is a function of the relations that hold betwe...
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On Conditional Correlations
The Pearson correlation, correlation ratio, and maximal correlation have...
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Exact Channel Synthesis
We consider the exact channel synthesis problem, which is the problem of...
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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...
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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...
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On Exact and ∞Rényi Common Informations
Recently, two extensions of Wyner's common information — exact and Rényi...
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Beyond the Central Limit Theorem: Universal and Nonuniversal Simulations of Random Variables by General Mappings
The Central Limit Theorem states that a standard Gaussian random variabl...
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Adversarial Examples in Deep Learning: Characterization and Divergence
The burgeoning success of deep learning has raised the security and priv...
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Towards Demystifying Membership Inference Attacks
Membership inference attacks seek to infer membership of individual trai...
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Simulation of Random Variables under Rényi Divergence Measures of All Orders
The random variable simulation problem consists in using a kdimensional...
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Diverse Exploration for Fast and Safe Policy Improvement
We study an important yet underaddressed problem of quickly and safely ...
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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...
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Lei Yu
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