
A Comprehensive Survey on Image Dehazing Based on Deep Learning
The presence of haze significantly reduces the quality of images. Resear...
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Construction and enumeration of left dihedral codes satisfying certain duality properties
Let 𝔽_q be the finite field of q elements and let D_2n=⟨ x,y x^n=1, y^2...
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Risk Bounds for Overparameterized Maximum Margin Classification on SubGaussian Mixtures
Modern machine learning systems such as deep neural networks are often h...
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Improving Longerrange Dialogue State Tracking
Dialogue state tracking (DST) is a pivotal component in taskoriented di...
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Echo State Speech Recognition
We propose automatic speech recognition (ASR) models inspired by echo st...
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Provable Generalization of SGDtrained Neural Networks of Any Width in the Presence of Adversarial Label Noise
We consider a onehiddenlayer leaky ReLU network of arbitrary width tra...
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Towards NNGPguided Neural Architecture Search
The predictions of wide Bayesian neural networks are described by a Gaus...
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The geometry of integration in text classification RNNs
Despite the widespread application of recurrent neural networks (RNNs) a...
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Rapid Domain Adaptation for Machine Translation with Monolingual Data
One challenge of machine translation is how to quickly adapt to unseen d...
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Deciphering Undersegmented Ancient Scripts Using Phonetic Prior
Most undeciphered lost languages exhibit two characteristics that pose s...
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Gradient Vaccine: Investigating and Improving Multitask Optimization in Massively Multilingual Models
Massively multilingual models subsuming tens or even hundreds of languag...
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Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
We analyze the properties of gradient descent on convex surrogates for t...
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An explicit expression for Euclidean selfdual cyclic codes of length 2^k over Galois ring GR(4,m)
For any positive integers m and k, existing literature only determines t...
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Agnostic Learning of a Single Neuron with Gradient Descent
We consider the problem of learning the bestfitting single neuron as me...
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Leveraging Monolingual Data with SelfSupervision for Multilingual Neural Machine Translation
Over the last few years two promising research directions in lowresourc...
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Your GAN is Secretly an Energybased Model and You Should use Discriminator Driven Latent Sampling
We show that the sum of the implicit generator logdensity log p_g of a ...
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Echo State Neural Machine Translation
We present neural machine translation (NMT) models inspired by echo stat...
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Fullyhierarchical finegrained prosody modeling for interpretable speech synthesis
This paper proposes a hierarchical, finegrained and interpretable laten...
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Generating diverse and natural texttospeech samples using a quantized finegrained VAE and autoregressive prosody prior
Recent neural texttospeech (TTS) models with finegrained latent featu...
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Towards Understanding the Spectral Bias of Deep Learning
An intriguing phenomenon observed during training neural networks is the...
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How Much Overparameterization Is Sufficient to Learn Deep ReLU Networks?
A recent line of research on deep learning focuses on the extremely over...
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Tight Sample Complexity of Learning Onehiddenlayer Convolutional Neural Networks
We study the sample complexity of learning onehiddenlayer convolutiona...
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AlgorithmDependent Generalization Bounds for Overparameterized Deep Residual Networks
The skipconnections used in residual networks have become a standard ar...
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On selfduality and hulls of cyclic codes over F_2^m[u]/〈 u^k〉 with oddly even length
Let F_2^m be a finite field of 2^m elements, and R=F_2^m[u]/〈 u^k〉=F_2^m...
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Video Prediction for Precipitation Nowcasting
Video prediction, which aims to synthesize new consecutive frames subseq...
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Construction and enumeration for selfdual cyclic codes of even length over F_2^m + uF_2^m
Let F_2^m be a finite field of cardinality 2^m, R=F_2^m+uF_2^m (u^2=0) a...
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An efficient method to construct selfdual cyclic codes of length p^s over F_p^m+uF_p^m
Let p be an odd prime number, F_p^m be a finite field of cardinality p^m...
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Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
We introduce our efforts towards building a universal neural machine tra...
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Neural Decipherment via MinimumCost Flow: from Ugaritic to Linear B
In this paper we propose a novel neural approach for automatic decipherm...
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Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
We study the training and generalization of deep neural networks (DNNs) ...
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Explicit representation for a class of Type 2 constacyclic codes over the ring F_2^m[u]/〈 u^2λ〉 with even length
Let F_2^m be a finite field of cardinality 2^m, λ and k be integers sati...
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Managing Recurrent Virtual Network Updates in MultiTenant Datacenters: A System Perspective
With the advent of softwaredefined networking, network configuration th...
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Umbrella: Enabling ISPs to Offer Readily Deployable and PrivacyPreserving DDoS Prevention Services
Defending against distributed denial of service (DDoS) attacks in the In...
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AccFlow: Defending Against the LowRate TCP DoS Attack in Wireless Sensor Networks
Because of the open nature of the Wireless Sensor Networks (WSN), the De...
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Lingvo: a Modular and Scalable Framework for SequencetoSequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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Selfdual binary [8m, 4m]codes constructed by left ideals of the dihedral group algebra F_2[D_8m]
Let m be an arbitrary positive integer and D_8m be a dihedral group of o...
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A Generalization Theory of Gradient Descent for Learning Overparameterized Deep ReLU Networks
Empirical studies show that gradient based methods can learn deep neural...
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An explicit representation and enumeration for selfdual cyclic codes over F_2^m+uF_2^m of length 2^s
Let F_2^m be a finite field of cardinality 2^m and s a positive integer....
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An explicit representation and enumeration for negacyclic codes of length 2^kn over Z_4+uZ_4
In this paper, an explicit representation and enumeration for negacyclic...
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Stochastic Gradient Descent Optimizes Overparameterized Deep ReLU Networks
We study the problem of training deep neural networks with Rectified Lin...
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Leveraging Weakly Supervised Data to Improve EndtoEnd SpeechtoText Translation
Endtoend Speech Translation (ST) models have many potential advantages...
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Hierarchical Generative Modeling for Controllable Speech Synthesis
This paper proposes a neural endtoend texttospeech (TTS) model which...
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High Temperature Structure Detection in Ferromagnets
This paper studies structure detection problems in high temperature ferr...
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Training Deeper Neural Machine Translation Models with Transparent Attention
While current stateoftheart NMT models, such as RNN seq2seq and Trans...
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On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Adaptive gradient methods are workhorses in deep learning. However, the ...
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A class of repeatedroot constacyclic codes over F_p^m[u]/〈 u^e〉 of Type 2
Let F_p^m be a finite field of cardinality p^m where p is an odd prime, ...
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Matrixproduct structure of constacyclic codes over finite chain rings F_p^m[u]/〈 u^e〉
Let m,e be positive integers, p a prime number, F_p^m be a finite field ...
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Negacyclic codes over the local ring Z_4[v]/〈 v^2+2v〉 of oddly even length and their Gray images
Let R=Z_4[v]/〈 v^2+2v〉=Z_4+vZ_4 (v^2=2v) and n be an odd positive intege...
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Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Neural Machine Translation (NMT) is an endtoend learning approach for ...
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Local and Global Inference for High Dimensional Nonparanormal Graphical Models
This paper proposes a unified framework to quantify local and global inf...
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Yuan Cao
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