
Unsupervised Extractive Summarization by Pretraining Hierarchical Transformers
Unsupervised extractive document summarization aims to select important ...
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Streaming Graph Neural Networks via Continual Learning
Graph neural networks (GNNs) have achieved strong performance in various...
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HybridAttention Guided Network with Multiple Resolution Features for Person ReIdentification
Extracting effective and discriminative features is very important for a...
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MultiAuthority CiphertextPolicy Attribute Based Encryption With Accountability
Attributebased encryption (ABE) is a promising tool for implementing fi...
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Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Deformation field estimation is an important and challenging issue in ma...
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MultiTask Reinforcement Learning with Soft Modularization
Multitask learning is a very challenging problem in reinforcement learn...
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SaccadeNet: A Fast and Accurate Object Detector
Object detection is an essential step towards holistic scene understandi...
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Evolutionary Population Curriculum for Scaling MultiAgent Reinforcement Learning
In multiagent games, the complexity of the environment can grow exponen...
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SQLFlow: A Bridge between SQL and Machine Learning
Industrial AI systems are mostly endtoend machine learning (ML) workfl...
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InfluenceBased MultiAgent Exploration
Intrinsically motivated reinforcement learning aims to address the explo...
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PPGAN: Privacypreserving Generative Adversarial Network
Generative Adversarial Network (GAN) and its variants serve as a perfect...
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Emergent Tool Use From MultiAgent Autocurricula
Through multiagent competition, the simple objective of hideandseek, ...
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Bayesian Relational Memory for Semantic Visual Navigation
We introduce a new memory architecture, Bayesian Relational Memory (BRM)...
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Fairness in Recommendation Ranking through Pairwise Comparisons
Recommender systems are one of the most pervasive applications of machin...
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Dominant Dataset Selection Algorithms for TimeSeries Data Based on Linear Transformation
With the explosive growth of timeseries data, the scale of timeseries ...
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Deep Reinforcement Learning for Green Security Games with RealTime Information
Green Security Games (GSGs) have been proposed and applied to optimize p...
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Learning and Planning with a Semantic Model
Building deep reinforcement learning agents that can generalize and adap...
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Robust FuzzyLearning For Partially Overlapping Channels Allocation In UAV Communication Networks
In this paper, we consider a meshstructured unmanned aerial vehicle (UA...
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DiscreteContinuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Despite the recent successes of probabilistic programming languages (PPL...
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On DiscreteContinuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Despite of the recent successes of probabilistic programming languages (...
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NearLinear Time Local Polynomial Nonparametric Estimation
Local polynomial regression (Fan & Gijbels, 1996) is an important class ...
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Building Generalizable Agents with a Realistic and Rich 3D Environment
Towards bridging the gap between machine and human intelligence, it is o...
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Neural Block Sampling
Efficient Monte Carlo inference often requires manual construction of mo...
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CoupleNet: Coupling Global Structure with Local Parts for Object Detection
The regionbased Convolutional Neural Network (CNN) detectors such as Fa...
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MultiAgent ActorCritic for Mixed CooperativeCompetitive Environments
We explore deep reinforcement learning methods for multiagent domains. ...
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Swift: Compiled Inference for Probabilistic Programming Languages
A probabilistic program defines a probability measure over its semantic ...
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Towards Practical Bayesian Parameter and State Estimation
Joint state and parameter estimation is a core problem for dynamic Bayes...
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Value Iteration Networks
We introduce the value iteration network (VIN): a fully differentiable n...
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Adaptive Compressive Tracking via Online Vector Boosting Feature Selection
Recently, the compressive tracking (CT) method has attracted much attent...
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Robust Visual Tracking via Convolutional Networks
Deep networks have been successfully applied to visual tracking by learn...
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DualSpace Analysis of the Sparse Linear Model
Sparse linear (or generalized linear) models combine a standard likeliho...
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Agnostic Learning of Monomials by Halfspaces is Hard
We prove the following strong hardness result for learning: Given a dist...
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