
LogME: Practical Assessment of Pretrained Models for Transfer Learning
This paper studies task adaptive pretrained model selection, an underex...
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Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
Edge caching will play a critical role in facilitating the emerging cont...
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A Hybrid Bandit Framework for Diversified Recommendation
The interactive recommender systems involve users in the recommendation ...
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CodeVIO: VisualInertial Odometry with Learned Optimizable Dense Depth
In this work, we present a lightweight, tightlycoupled deep depth netwo...
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Spatial ContextAware SelfAttention Model For MultiOrgan Segmentation
Multiorgan segmentation is one of most successful applications of deep ...
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KeywordGuided Neural Conversational Model
We study the problem of imposing conversational goals/keywords on opend...
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FCFRNet: Feature Fusion based CoarsetoFine Residual Learning for Monocular Depth Completion
Depth completion aims to recover a dense depth map from a sparse depth m...
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FlowMOT: 3D MultiObject Tracking by Scene Flow Association
Most endtoend MultiObject Tracking (MOT) methods face the problems of...
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Fine Perceptive GANs for Brain MR Image SuperResolution in Wavelet Domain
Magnetic resonance imaging plays an important role in computeraided dia...
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HILONet: Hierarchical Imitation Learning from NonAligned Observations
It is challenging learning from demonstrated observationonly trajectori...
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Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to MultiAgent Moving Together
Multiagent path finding in formation has many potential realworld appl...
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CLMAPF: MultiAgent Path Finding for CarLike Robots with Kinematic and Spatiotemporal Constraints
MultiAgent Path Finding has been widely studied in the past few years d...
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APB2FaceV2: RealTime AudioGuided MultiFace Reenactment
Audioguided face reenactment aims to generate a photorealistic face tha...
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A Pretraining Strategy for Recommendation
The side information of items has been shown to be effective in building...
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FSiamese Tracker: A Frustumbased Double Siamese Network for 3D Single Object Tracking
This paper presents FSiamese Tracker, a novel approach for single objec...
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Semantic Graph Based Place Recognition for 3D Point Clouds
Due to the difficulty in generating the effective descriptors which are ...
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LICFusion 2.0: LiDARInertialCamera Odometry with SlidingWindow PlaneFeature Tracking
Multisensor fusion of multimodal measurements from commodity inertial,...
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DTVNet: Dynamic Timelapse Video Generation via Single Still Image
This paper presents a novel endtoend dynamic timelapse video generati...
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Targetless Calibration of LiDARIMU System Based on Continuoustime Batch Estimation
Sensor calibration is the fundamental block for a multisensor fusion sy...
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Neural Architecture Optimization with Graph VAE
Due to their high computational efficiency on a continuous space, gradie...
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Kinematics Based Visual Localization for SkidSteering Robots: Algorithm and Theory
In recent years, the volume of the commercial mobile robot market has be...
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Collisionfree Trajectory Planning for Autonomous Surface Vehicle
In this paper, we propose an efficient and accurate method for autonomou...
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Hierarchical and Efficient Learning for Person ReIdentification
Recent works in the person reidentification task mainly focus on the mo...
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APB2Face: Audioguided face reenactment with auxiliary pose and blink signals
Audioguided face reenactment aims at generating photorealistic faces us...
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Endowing Empathetic Conversational Models with Personas
Empathetic conversational models have been shown to improve user satisfa...
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Endowing Empathetic Dialogue Systems with Personas
Empathetic dialogue systems have been shown to improve user satisfaction...
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Learning Hierarchical Review Graph Representation for Recommendation
Users' reviews have been demonstrated to be effective in solving differe...
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Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
Graph neural networks (GNN) have recently been applied to exploit knowle...
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Feature Lenses: Plugandplay Neural Modules for TransformationInvariant Visual Representations
Convolutional Neural Networks (CNNs) are known to be brittle under vario...
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A Learning Framework for nbit Quantized Neural Networks toward FPGAs
The quantized neural network (QNN) is an efficient approach for network ...
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Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
Unsupervised learning of optical flow, which leverages the supervision f...
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Realistic Face Reenactment via SelfSupervised Disentangling of Identity and Pose
Recent works have shown how realistic talking face images can be obtaine...
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Extended Feature Pyramid Network for Small Object Detection
Small object detection remains an unsolved challenge because it is hard ...
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Nearly Optimal Risk Bounds for Kernel KMeans
In this paper, we study the statistical properties of the kernel kmeans...
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Risk Analysis of DivideandConquer ERM
Theoretical analysis of the divideandconquer based distributed learnin...
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Theoretical Analysis of DivideandConquer ERM: Beyond Square Loss and RKHS
Theoretical analysis of the divideandconquer based distributed learnin...
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Convolutional Spectral Kernel Learning
Recently, nonstationary spectral kernels have drawn much attention, owi...
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Differentially Private ERM Based on Data Perturbation
In this paper, after observing that different training data instances af...
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Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Traditionally, there are two models on differential privacy: the central...
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Optimizing NonOrthogonal Multiple Access in Random Access Networks
Nonorthogonal multiple access (NOMA) has been considered as a promising...
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AttentionAnatomy: A unified framework for wholebody organs at risk segmentation using multiple partially annotated datasets
Organsatrisk (OAR) delineation in computed tomography (CT) is an impor...
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Suboptimal convergence of discontinuous Galerkin methods with central fluxes for even degree polynomial approximations
In this paper, we theoretically and numerically verify that the disconti...
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Variational Quantum Circuits for Quantum State Tomography
We propose a hybrid quantumclassical algorithm for quantum state tomogr...
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VisualInertial Localization for SkidSteering Robots with Kinematic Constraints
While visual localization or SLAM has witnessed great progress in past d...
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Weighted Distributed Differential Privacy ERM: Convex and Nonconvex
Distributed machine learning is an approach allowing different parties t...
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Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
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Automated Spectral Kernel Learning
The generalization performance of kernel methods is largely determined b...
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Learning Vectorvalued Functions with Local Rademacher Complexity
We consider a general family of problems of which the output space admit...
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LICFusion: LiDARInertialCamera Odometry
This paper presents a tightlycoupled multisensor fusion algorithm term...
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From Few to More: Largescale Dynamic Multiagent Curriculum Learning
A lot of efforts have been devoted to investigating how agents can learn...
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