
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
For many machine learning algorithms, two main assumptions are required ...
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Graph Neural Networks: A Review of Methods and Applications
Lots of learning tasks require dealing with graph data which contains ri...
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Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
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Deep Learning on Graphs: A Survey
Deep learning has been shown successful in a number of domains, ranging ...
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Hierarchical Reinforcement Learning with AdvantageBased Auxiliary Rewards
Hierarchical Reinforcement Learning (HRL) is a promising approach to sol...
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6D Object Pose Regression via Supervised Learning on Point Clouds
This paper addresses the task of estimating the 6 degrees of freedom pos...
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Functional Variational Bayesian Neural Networks
Variational Bayesian neural networks (BNNs) perform variational inferenc...
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Quantum Adversarial Machine Learning
Adversarial machine learning is an emerging field that focuses on studyi...
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MQA: Answering the Question via Robotic Manipulation
In this paper,we propose a novel task of Manipulation Question Answering...
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Roundtrip: A Deep Generative Neural Density Estimator
Density estimation is a fundamental problem in both statistics and machi...
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Exploring Frequency Domain Interpretation of Convolutional Neural Networks
Many existing interpretation methods of convolutional neural networks (C...
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SPIOptimizer: an integralSeparated PI Controller for Stochastic Optimization
To overcome the oscillation problem in the classical momentumbased opti...
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FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
Existing methods for face image manipulation generally focus on editing ...
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Triple Generative Adversarial Networks
Generative adversarial networks (GANs) have shown promise in image gener...
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SurfaceNet+: An Endtoend 3D Neural Network for Very Sparse Multiview Stereopsis
Multiview stereopsis (MVS) tries to recover the 3D model from 2D images...
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Lossless Compression for 3DCNNs Based on Tensor Train Decomposition
Three dimensional convolutional neural networks (3DCNNs) have been appli...
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Graph Policy Network for Transferable Active Learning on Graphs
Graph neural networks (GNNs) have been attracting increasing popularity ...
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Pruning from Scratch
Network pruning is an important research field aiming at reducing comput...
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Convolutional Networks with Dense Connectivity
Recent work has shown that convolutional networks can be substantially d...
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Understanding Negative Sampling in Graph Representation Learning
Graph representation learning has been extensively studied in recent yea...
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Monocular Depth Prediction Through Continuous 3D Loss
This paper reports a new continuous 3D loss function for learning depth ...
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DotFAN: A Domaintransferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition
The performance of a convolutional neural network (CNN) based face recog...
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EigenGNN: A Graph Structure Preserving Plugin for GNNs
Graph Neural Networks (GNNs) are emerging machine learning models on gra...
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DeepObfuscator: Adversarial Training Framework for PrivacyPreserving Image Classification
Deep learning has been widely utilized in many computer vision applicati...
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Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Models with transparent inner structure and high classification performa...
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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...
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KFNet: Learning Temporal Camera Relocalization using Kalman Filtering
Temporal camera relocalization estimates the pose with respect to each v...
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Deep Face SuperResolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
Recent works based on deep learning and facial priors have succeeded in ...
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Theoretical Analysis of Auto RateTuning by Batch Normalization
Batch Normalization (BN) has become a cornerstone of deep learning acros...
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RuleGuided Compositional Representation Learning on Knowledge Graphs
Representation learning on a knowledge graph (KG) is to embed entities a...
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Less Is Better: Unweighted Data Subsampling via Influence Function
In the time of Big Data, training complex models on largescale data set...
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TransMoMo: InvarianceDriven Unsupervised Video Motion Retargeting
We present a lightweight video motion retargeting approach TransMoMo tha...
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LapEPINet: A Laplacian Pyramid EPI structure for Learningbased Dense Light Field Reconstruction
For dense sampled light field (LF) reconstruction problem, existing appr...
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Unified VisualSemantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
We propose the Unified VisualSemantic Embeddings (Unified VSE) for lear...
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Deep LearningBased Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Deep learning model trained by imbalanced data may not work satisfactori...
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EndtoEnd Face Parsing via Interlinked Convolutional Neural Networks
Face parsing is an important computer vision task that requires accurate...
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Hierarchical Feature Embedding for Attribute Recognition
Attribute recognition is a crucial but challenging task due to viewpoint...
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Attention: to Better Stand on the Shoulders of Giants
Science of science (SciSci) is an emerging discipline wherein science is...
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Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatialaware Capsules
Learning discriminative shape representation directly on point clouds is...
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Temporal Interlacing Network
For a long time, the vision community tries to learn the spatiotemporal...
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Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks
Optical character recognition (OCR) is widely applied in real applicatio...
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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
In the unsupervised open set domain adaptation (UOSDA), the target domai...
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tkmeans: A kmeans Variant with Robustness and Stability
Lloyd's kmeans algorithm is one of the most classical clustering method...
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Implicit Semantic Data Augmentation for Deep Networks
In this paper, we propose a novel implicit semantic data augmentation (I...
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Morphing and Sampling Network for Dense Point Cloud Completion
3D point cloud completion, the task of inferring the complete geometric ...
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Scalable NAS with Factorizable Architectural Parameters
Neural architecture search (NAS) is an emerging topic in machine learnin...
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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
We introduce a new molecular dataset, named Alchemy, for developing mach...
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A Pretraining Based Personalized Dialogue Generation Model with Personasparse Data
Endowing dialogue systems with personas is essential to deliver more hum...
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Normal Assisted Stereo Depth Estimation
Accurate stereo depth estimation plays a critical role in various 3D tas...
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PANDA: A Gigapixellevel Humancentric Video Dataset
We present PANDA, the first gigaPixellevel humANcentric viDeo dAtaset,...
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Tsinghua University
Tsinghua University is a major research university in Beijing, and a member of the elite C9 League of Chinese universities.