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Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory
This paper considers deep visual recognition on long-tailed data, with t...
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CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
This paper proposes a self-supervised learning method for the person re-...
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Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
Traffic signal controllers play an essential role in the traffic system,...
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Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization
Unmanned aerial vehicle (UAV)-enabled communication is a promising techn...
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Multi-Modality Cascaded Fusion Technology for Autonomous Driving
Multi-modality fusion is the guarantee of the stability of autonomous dr...
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Generalization Bounds for Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved breakthrough performa...
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Receding Horizon Optimization for Energy-Efficient UAV Communication
In this letter, we study a wireless communication system with a fixed-wi...
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Linear Complexity of A Family of Binary pq^2-periodic Sequences From Euler Quotients
We first introduce a family of binary pq^2-periodic sequences based on t...
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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Exploration in sparse reward reinforcement learning remains a difficult ...
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Theoretical Analysis of Adversarial Learning: A Minimax Approach
We propose a general theoretical method for analyzing the risk bound in ...
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An Optimal Transport View on Generalization
We derive upper bounds on the generalization error of learning algorithm...
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UAV-Enabled Radio Access Network: Multi-Mode Communication and Trajectory Design
In this paper, we consider an unmanned aerial vehicle (UAV)-enabled radi...
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An Information-Theoretic View for Deep Learning
Deep learning has transformed the computer vision, natural language proc...
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Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
This paper investigates exploration strategies of Deep Reinforcement Lea...
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On the Rates of Convergence from Surrogate Risk Minimizers to the Bayes Optimal Classifier
We study the rates of convergence from empirical surrogate risk minimize...
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VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
This paper deals with the reality gap from a novel perspective, targetin...
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Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
We present an approach for mobile robots to learn to navigate in pedestr...
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Neural SLAM: Learning to Explore with External Memory
We present an approach for agents to learn representations of a global m...
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Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
In this paper we consider the problem of robot navigation in simple maze...
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Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
Weak topic correlation across document collections with different number...
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