
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
For many machine learning algorithms, two main assumptions are required ...
read it

Graph Neural Networks: A Review of Methods and Applications
Lots of learning tasks require dealing with graph data which contains ri...
read it

Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
read it

Deep Learning on Graphs: A Survey
Deep learning has been shown successful in a number of domains, ranging ...
read it

Hierarchical Reinforcement Learning with AdvantageBased Auxiliary Rewards
Hierarchical Reinforcement Learning (HRL) is a promising approach to sol...
read it

6D Object Pose Regression via Supervised Learning on Point Clouds
This paper addresses the task of estimating the 6 degrees of freedom pos...
read it

Functional Variational Bayesian Neural Networks
Variational Bayesian neural networks (BNNs) perform variational inferenc...
read it

Quantum Adversarial Machine Learning
Adversarial machine learning is an emerging field that focuses on studyi...
read it

MQA: Answering the Question via Robotic Manipulation
In this paper,we propose a novel task of Manipulation Question Answering...
read it

Roundtrip: A Deep Generative Neural Density Estimator
Density estimation is a fundamental problem in both statistics and machi...
read it

Exploring Frequency Domain Interpretation of Convolutional Neural Networks
Many existing interpretation methods of convolutional neural networks (C...
read it

SPIOptimizer: an integralSeparated PI Controller for Stochastic Optimization
To overcome the oscillation problem in the classical momentumbased opti...
read it

FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
Existing methods for face image manipulation generally focus on editing ...
read it

Triple Generative Adversarial Networks
Generative adversarial networks (GANs) have shown promise in image gener...
read it

SurfaceNet+: An Endtoend 3D Neural Network for Very Sparse Multiview Stereopsis
Multiview stereopsis (MVS) tries to recover the 3D model from 2D images...
read it

Lossless Compression for 3DCNNs Based on Tensor Train Decomposition
Three dimensional convolutional neural networks (3DCNNs) have been appli...
read it

DistributionBalanced Loss for MultiLabel Classification in LongTailed Datasets
We present a new loss function called DistributionBalanced Loss for the...
read it

DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features
A robust and efficient Simultaneous Localization and Mapping (SLAM) syst...
read it

Graph Policy Network for Transferable Active Learning on Graphs
Graph neural networks (GNNs) have been attracting increasing popularity ...
read it

Pruning from Scratch
Network pruning is an important research field aiming at reducing comput...
read it

Convolutional Networks with Dense Connectivity
Recent work has shown that convolutional networks can be substantially d...
read it

Understanding Negative Sampling in Graph Representation Learning
Graph representation learning has been extensively studied in recent yea...
read it

Monocular Depth Prediction Through Continuous 3D Loss
This paper reports a new continuous 3D loss function for learning depth ...
read it

DotFAN: A Domaintransferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition
The performance of a convolutional neural network (CNN) based face recog...
read it

EigenGNN: A Graph Structure Preserving Plugin for GNNs
Graph Neural Networks (GNNs) are emerging machine learning models on gra...
read it

DeepObfuscator: Adversarial Training Framework for PrivacyPreserving Image Classification
Deep learning has been widely utilized in many computer vision applicati...
read it

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Models with transparent inner structure and high classification performa...
read it

SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
Structure learning for 3D shapes is vital for 3D computer vision. State...
read it

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
Temporal camera relocalization estimates the pose with respect to each v...
read it

Deep Face SuperResolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
Recent works based on deep learning and facial priors have succeeded in ...
read it

Theoretical Analysis of Auto RateTuning by Batch Normalization
Batch Normalization (BN) has become a cornerstone of deep learning acros...
read it

RuleGuided Compositional Representation Learning on Knowledge Graphs
Representation learning on a knowledge graph (KG) is to embed entities a...
read it

Less Is Better: Unweighted Data Subsampling via Influence Function
In the time of Big Data, training complex models on largescale data set...
read it

TransMoMo: InvarianceDriven Unsupervised Video Motion Retargeting
We present a lightweight video motion retargeting approach TransMoMo tha...
read it

LapEPINet: A Laplacian Pyramid EPI structure for Learningbased Dense Light Field Reconstruction
For dense sampled light field (LF) reconstruction problem, existing appr...
read it

Unified VisualSemantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
We propose the Unified VisualSemantic Embeddings (Unified VSE) for lear...
read it

Deep LearningBased Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Deep learning model trained by imbalanced data may not work satisfactori...
read it

EndtoEnd Face Parsing via Interlinked Convolutional Neural Networks
Face parsing is an important computer vision task that requires accurate...
read it

Hierarchical Feature Embedding for Attribute Recognition
Attribute recognition is a crucial but challenging task due to viewpoint...
read it

Attention: to Better Stand on the Shoulders of Giants
Science of science (SciSci) is an emerging discipline wherein science is...
read it

Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatialaware Capsules
Learning discriminative shape representation directly on point clouds is...
read it

Temporal Interlacing Network
For a long time, the vision community tries to learn the spatiotemporal...
read it

Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks
Optical character recognition (OCR) is widely applied in real applicatio...
read it

Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
In the unsupervised open set domain adaptation (UOSDA), the target domai...
read it

tkmeans: A kmeans Variant with Robustness and Stability
Lloyd's kmeans algorithm is one of the most classical clustering method...
read it

Implicit Semantic Data Augmentation for Deep Networks
In this paper, we propose a novel implicit semantic data augmentation (I...
read it

Morphing and Sampling Network for Dense Point Cloud Completion
3D point cloud completion, the task of inferring the complete geometric ...
read it

Scalable NAS with Factorizable Architectural Parameters
Neural architecture search (NAS) is an emerging topic in machine learnin...
read it

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
We introduce a new molecular dataset, named Alchemy, for developing mach...
read it

A Pretraining Based Personalized Dialogue Generation Model with Personasparse Data
Endowing dialogue systems with personas is essential to deliver more hum...
read it
Tsinghua University
Tsinghua University is a major research university in Beijing, and a member of the elite C9 League of Chinese universities.