
-
CoRe: An Efficient Coarse-refined Training Framework for BERT
In recent years, BERT has made significant breakthroughs on many natural...
read it
-
Deep Neural Network Test Coverage: How Far Are We?
DNN testing is one of the most effective methods to guarantee the qualit...
read it
-
Deep Neural Networks with Short Circuits for Improved Gradient Learning
Deep neural networks have achieved great success both in computer vision...
read it
-
Fast algorithms for robust principal component analysis with an upper bound on the rank
The robust principal component analysis (RPCA) decomposes a data matrix ...
read it
-
A Novel Regularization Based on the Error Function for Sparse Recovery
Regularization plays an important role in solving ill-posed problems by ...
read it
-
Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System
We design a variational asymptotic preserving scheme for the Vlasov-Pois...
read it
-
Linear Convergent Decentralized Optimization with Compression
Communication compression has been extensively adopted to speed up large...
read it
-
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Convolutional Neural Networks (CNN) have gained great success in many ar...
read it
-
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features
This work studies multi-agent sharing optimization problems with the obj...
read it
-
PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation
Self-supervised pre-training has emerged as a powerful technique for nat...
read it
-
Computing the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences of period of twin prime products
This paper contributes to compute 2-adic complexity of two classes of Di...
read it
-
Manifold Denoising by Nonlinear Robust Principal Component Analysis
This paper extends robust principal component analysis (RPCA) to nonline...
read it
-
A Double Residual Compression Algorithm for Efficient Distributed Learning
Large-scale machine learning models are often trained by parallel stocha...
read it
-
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
The ability of semantic reasoning over the sentence pair is essential fo...
read it
-
Incorporating External Knowledge into Machine Reading for Generative Question Answering
Commonsense and background knowledge is required for a QA model to answe...
read it
-
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Recently, the pre-trained language model, BERT (Devlin et al.(2018)Devli...
read it
-
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning
This paper focuses on how to take advantage of external relational knowl...
read it
-
On linear convergence of two decentralized algorithms
Decentralized algorithms solve multi-agent problems over a connected net...
read it
-
Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering
This paper describes a novel hierarchical attention network for reading ...
read it
-
A Deep Cascade Model for Multi-Document Reading Comprehension
A fundamental trade-off between effectiveness and efficiency needs to be...
read it
-
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties
Sign information is the key to overcoming the inevitable saturation erro...
read it
-
D^2: Decentralized Training over Decentralized Data
While training a machine learning model using multiple workers, each of ...
read it
-
A primal-dual algorithm with optimal stepsizes and its application in decentralized consensus optimization
We consider a primal-dual algorithm for minimizing f(x)+h(Ax) with diffe...
read it
-
Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016
Personalized search has been a hot research topic for many years and has...
read it
-
Exploring Outliers in Crowdsourced Ranking for QoE
Outlier detection is a crucial part of robust evaluation for crowdsource...
read it
-
Nonconvex penalties with analytical solutions for one-bit compressive sensing
One-bit measurements widely exist in the real world, and they can be use...
read it
-
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
This paper considers the problem of decentralized optimization with a co...
read it
-
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction
When a measurement falls outside the quantization or measurable range, i...
read it
-
Coordinate Friendly Structures, Algorithms and Applications
This paper focuses on coordinate update methods, which are useful for so...
read it
-
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Finding a fixed point to a nonexpansive operator, i.e., x^*=Tx^*, abstra...
read it
-
Pinball Loss Minimization for One-bit Compressive Sensing
The one-bit quantization can be implemented by one single comparator, wh...
read it
-
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity
In this paper, we propose a variational multiphase image segmentation mo...
read it
-
The Continuity of Images by Transmission Imaging Revisited
Transmission imaging, as an important imaging technique widely used in a...
read it
-
Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting
This article studies the problem of image restoration of observed images...
read it