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09/14/2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
We present a novel approach to address the challenge of generalization i...
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07/05/2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks
Generative models can be categorized into two types: explicit generative...
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05/22/2023
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection
Data and model are the undoubtable two supporting pillars for LiDAR obje...
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05/18/2023
A Generalist Dynamics Model for Control
We investigate the use of transformer sequence models as dynamics models...
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02/24/2023
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
In this paper we study the problem of learning multi-step dynamics predi...
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12/29/2022
Local Learning on Transformers via Feature Reconstruction
Transformers are becoming increasingly popular due to their superior per...
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11/07/2022
Generalizable Re-Identification from Videos with Cycle Association
In this paper, we are interested in learning a generalizable person re-i...
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07/17/2022
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Histopathology whole slide images (WSIs) play a very important role in c...
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05/22/2022
System-Level Evaluation of Beam Hopping in NR-Based LEO Satellite Communication System
Satellite communication by leveraging the use of low earth orbit (LEO) s...
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05/19/2022
Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates
We consider optimizing two-layer neural networks in the mean-field regim...
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07/09/2021
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
This paper seeks to tackle the bin packing problem (BPP) through a learn...
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08/22/2020
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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07/15/2020
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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03/09/2020
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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02/23/2020
Multi-Antenna UAV Data Harvesting: Joint Trajectory and Communication Optimization
Unmanned aerial vehicle (UAV)-enabled communication is a promising techn...
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02/08/2020
Multi-Modality Cascaded Fusion Technology for Autonomous Driving
Multi-modality fusion is the guarantee of the stability of autonomous dr...
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10/03/2019
Generalization Bounds for Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved breakthrough performa...
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07/24/2019
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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06/19/2019
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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03/18/2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Exploration in sparse reward reinforcement learning remains a difficult ...
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11/13/2018
Theoretical Analysis of Adversarial Learning: A Minimax Approach
We propose a general theoretical method for analyzing the risk bound in ...
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11/08/2018
An Optimal Transport View on Generalization
We derive upper bounds on the generalization error of learning algorithm...
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05/18/2018
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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04/24/2018
An Information-Theoretic View for Deep Learning
Deep learning has transformed the computer vision, natural language proc...
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04/02/2018
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
This paper investigates exploration strategies of Deep Reinforcement Lea...
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02/11/2018
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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02/01/2018
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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10/06/2017
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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06/29/2017
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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12/16/2016
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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08/19/2015