
EnergyBased OpenWorld Uncertainty Modeling for Confidence Calibration
Confidence calibration is of great importance to the reliability of deci...
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Invariant Information Bottleneck for Domain Generalization
The main challenge for domain generalization (DG) is to overcome the pot...
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Deep Tiny Network for RecognitionOriented Face Image Quality Assessment
Face recognition has made significant progress in recent years due to de...
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Leveraging Tripartite Interaction Information from Live Stream ECommerce for Improving Product Recommendation
Recently, a new form of online shopping becomes more and more popular, w...
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Graph Pooling via Coarsened Graph Infomax
Graph pooling that summaries the information in a large graph into a com...
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Decentralized Federated Averaging
Federated averaging (FedAvg) is a communication efficient algorithm for ...
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Hierarchical Adaptive Pooling by Capturing Highorder Dependency for Graph Representation Learning
Graph neural networks (GNN) have been proven to be mature enough for han...
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A ReinforcementLearningBased EnergyEfficient Framework for MultiTask Video Analytics Pipeline
Deeplearningbased video processing has yielded transformative results ...
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Decentralized Statistical Inference with Unrolled Graph Neural Networks
In this paper, we investigate the decentralized statistical inference pr...
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Stability and Generalization of the Decentralized Stochastic Gradient Descent
The stability and generalization of stochastic gradientbased methods pr...
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Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training
In recent years, the Deep Learning Alternating Minimization (DLAM), whic...
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Learning content and context with language bias for Visual Question Answering
Visual Question Answering (VQA) is a challenging multimodal task to answ...
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PPGN: PhraseGuided Proposal Generation Network For Referring Expression Comprehension
Reference expression comprehension (REC) aims to find the location that ...
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MetaLearning for Neural Relation Classification with Distant Supervision
Distant supervision provides a means to create a large number of weakly ...
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Learning Invariant Representations and Risks for Semisupervised Domain Adaptation
The success of supervised learning hinges on the assumption that the tra...
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Dynamic Knowledge Distillation for Blackbox Hypothesis Transfer Learning
In real world applications like healthcare, it is usually difficult to b...
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ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach
It is hard to train Recurrent Neural Network (RNN) with stable convergen...
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Adaptive Temporal Difference Learning with Linear Function Approximation
This paper revisits the celebrated temporal difference (TD) learning alg...
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Towards Precise Endtoend Weakly Supervised Object Detection Network
It is challenging for weakly supervised object detection network to prec...
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XPipe: Efficient Pipeline Model Parallelism for MultiGPU DNN Training
We propose XPipe, an efficient asynchronous pipeline model parallelism a...
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General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
The incremental aggregated gradient algorithm is popular in network opti...
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Decentralized Markov Chain Gradient Descent
Decentralized stochastic gradient method emerges as a promising solution...
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A MultiType MultiSpan Network for Reading Comprehension that Requires Discrete Reasoning
Rapid progress has been made in the field of reading comprehension and q...
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Heavyball Algorithms Always Escape Saddle Points
Nonconvex optimization algorithms with random initialization have attrac...
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Retrieve, Read, Rerank: Towards EndtoEnd MultiDocument Reading Comprehension
This paper considers the reading comprehension task in which multiple do...
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OpenDomain Targeted Sentiment Analysis via SpanBased Extraction and Classification
Opendomain targeted sentiment analysis aims to detect opinion targets a...
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LocalitySensitive Sketching for Resilient Network Flow Monitoring
Network monitoring is vital in modern clouds and data center networks fo...
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Correlation Congruence for Knowledge Distillation
Most teacherstudent frameworks based on knowledge distillation (KD) dep...
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IFTTN: Information Fused Temporal Transformation Network for Video Action Recognition
Effective spatiotemporal feature representation is crucial to the video...
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Exploring Frame Segmentation Networks for Temporal Action Localization
Temporal action localization is an important task of computer vision. Th...
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Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring
In this paper, we consider a class of nonconvex problems with linear con...
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A Scalable Algorithm for PrivacyPreserving Itembased TopN Recommendation
Recommender systems have become an indispensable component in online ser...
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Collaborative Filtering with Stability
Collaborative filtering (CF) is a popular technique in today's recommend...
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Nonergodic Convergence Analysis of HeavyBall Algorithms
In this paper, we revisit the convergence of the Heavyball method, and ...
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An Efficient ADMMBased Algorithm to Nonconvex Penalized Support Vector Machines
Support vector machines (SVMs) with sparsityinducing nonconvex penaltie...
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AttentionGuided Answer Distillation for Machine Reading Comprehension
Despite that current reading comprehension systems have achieved signifi...
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Loss Rank Mining: A General Hard Example Mining Method for Realtime Detectors
Modern object detectors usually suffer from low accuracy issues, as fore...
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Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Depthwise convolutions provide significant performance benefits owing to...
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Crack detection in beam structures with a novel Laplace based Wavelet Finite Element method
Beam structure is one of the most widely used structures in mechanical e...
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Wave analysis in one dimensional structures with a wavelet finite element model and precise integration method
Numerical simulation of ultrasonic wave propagation provides an efficien...
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Exploring Temporal Preservation Networks for Precise Temporal Action Localization
Temporal action localization is an important task of computer vision. Th...
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SOHEM: Stratified Online Hard Example Mining for Object Detection
One of the major challenges in object detection is to propose detectors ...
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Dongsheng Li
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