Tsinghua University

∙ 北京 , China ∙ 0 followers

Tsinghua University is a major research university in Beijing, and a member of the elite C9 League of Chinese universities.

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

For many machine learning algorithms, two main assumptions are required ...
01/31/2020 ∙ by Kun Kuang, et al. ∙ 95 ∙ share

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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...
12/20/2018 ∙ by Jie Zhou, et al. ∙ 62 ∙ share

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Deep Learning on Graphs: A Survey

Deep learning has been shown successful in a number of domains, ranging ...
12/11/2018 ∙ by Ziwei Zhang, et al. ∙ 46 ∙ share

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Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

Hierarchical Reinforcement Learning (HRL) is a promising approach to sol...
10/10/2019 ∙ by Siyuan Li, et al. ∙ 37 ∙ share

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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...
01/24/2020 ∙ by Ge Gao, et al. ∙ 37 ∙ share

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Functional Variational Bayesian Neural Networks

Variational Bayesian neural networks (BNNs) perform variational inferenc...
03/14/2019 ∙ by Shengyang Sun, et al. ∙ 34 ∙ share

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Quantum Adversarial Machine Learning

Adversarial machine learning is an emerging field that focuses on studyi...
12/31/2019 ∙ by Sirui Lu, et al. ∙ 34 ∙ share

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Exploring Frequency Domain Interpretation of Convolutional Neural Networks

Many existing interpretation methods of convolutional neural networks (C...
11/27/2019 ∙ by Zhongfan Jia, et al. ∙ 29 ∙ share

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SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization

To overcome the oscillation problem in the classical momentum-based opti...
12/29/2018 ∙ by Dan Wang, et al. ∙ 28 ∙ share

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FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing

Existing methods for face image manipulation generally focus on editing ...
05/06/2019 ∙ by Sen-Zhe Xu, et al. ∙ 28 ∙ share

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Triple Generative Adversarial Networks

Generative adversarial networks (GANs) have shown promise in image gener...
12/20/2019 ∙ by Chongxuan Li, et al. ∙ 28 ∙ share

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Lossless Compression for 3DCNNs Based on Tensor Train Decomposition

Three dimensional convolutional neural networks (3DCNNs) have been appli...
12/08/2019 ∙ by Dingheng Wang, et al. ∙ 27 ∙ share

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Pruning from Scratch

Network pruning is an important research field aiming at reducing comput...
09/27/2019 ∙ by Yulong Wang, et al. ∙ 24 ∙ share

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Convolutional Networks with Dense Connectivity

Recent work has shown that convolutional networks can be substantially d...
01/08/2020 ∙ by Gao Huang, et al. ∙ 24 ∙ share

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DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification

Deep learning has been widely utilized in many computer vision applicati...
09/09/2019 ∙ by Ang Li, et al. ∙ 21 ∙ share

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Transparent Classification with Multilayer Logical Perceptrons and Random Binarization

Models with transparent inner structure and high classification performa...
12/10/2019 ∙ by Zhuo Wang, et al. ∙ 21 ∙ share

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Theoretical Analysis of Auto Rate-Tuning by Batch Normalization

Batch Normalization (BN) has become a cornerstone of deep learning acros...
12/10/2018 ∙ by Sanjeev Arora, et al. ∙ 20 ∙ share

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Rule-Guided Compositional Representation Learning on Knowledge Graphs

Representation learning on a knowledge graph (KG) is to embed entities a...
11/20/2019 ∙ by Guanglin Niu, et al. ∙ 20 ∙ share

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Less Is Better: Unweighted Data Subsampling via Influence Function

In the time of Big Data, training complex models on large-scale data set...
12/03/2019 ∙ by Zifeng Wang, et al. ∙ 20 ∙ share

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LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction

For dense sampled light field (LF) reconstruction problem, existing appr...
02/17/2019 ∙ by Gaochang Wu, et al. ∙ 18 ∙ share

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Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations

We propose the Unified Visual-Semantic Embeddings (Unified VSE) for lear...
04/11/2019 ∙ by Hao Wu, et al. ∙ 18 ∙ share

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Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

Deep learning model trained by imbalanced data may not work satisfactori...
08/27/2019 ∙ by Ziqian Luo, et al. ∙ 18 ∙ share

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End-to-End Face Parsing via Interlinked Convolutional Neural Networks

Face parsing is an important computer vision task that requires accurate...
02/12/2020 ∙ by Zi Yin, et al. ∙ 18 ∙ share

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Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules

Learning discriminative shape representation directly on point clouds is...
08/29/2019 ∙ by Xin Wen, et al. ∙ 17 ∙ share

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Temporal Interlacing Network

For a long time, the vision community tries to learn the spatio-temporal...
01/17/2020 ∙ by Hao Shao, et al. ∙ 17 ∙ share

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Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks

Optical character recognition (OCR) is widely applied in real applicatio...
02/08/2020 ∙ by Lu Chen, et al. ∙ 17 ∙ share

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t-k-means: A k-means Variant with Robustness and Stability

Lloyd's k-means algorithm is one of the most classical clustering method...
07/17/2019 ∙ by Yang Zhang, et al. ∙ 16 ∙ share

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Implicit Semantic Data Augmentation for Deep Networks

In this paper, we propose a novel implicit semantic data augmentation (I...
09/26/2019 ∙ by Yulin Wang, et al. ∙ 16 ∙ share

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Morphing and Sampling Network for Dense Point Cloud Completion

3D point cloud completion, the task of inferring the complete geometric ...
11/30/2019 ∙ by Minghua Liu, et al. ∙ 16 ∙ share

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Scalable NAS with Factorizable Architectural Parameters

Neural architecture search (NAS) is an emerging topic in machine learnin...
12/31/2019 ∙ by Lanfei Wang, et al. ∙ 16 ∙ share

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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...
06/22/2019 ∙ by Guangyong Chen, et al. ∙ 15 ∙ share

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A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

Endowing dialogue systems with personas is essential to deliver more hum...
11/12/2019 ∙ by Yinhe Zheng, et al. ∙ 15 ∙ share

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Normal Assisted Stereo Depth Estimation

Accurate stereo depth estimation plays a critical role in various 3D tas...
11/24/2019 ∙ by Uday Kusupati, et al. ∙ 15 ∙ share

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Stable Prediction across Unknown Environments

In many important machine learning applications, the training distributi...
06/16/2018 ∙ by Kun Kuang, et al. ∙ 14 ∙ share

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Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization

We improve the robustness of deep neural nets to adversarial attacks by ...
09/23/2018 ∙ by Bao Wang, et al. ∙ 14 ∙ share

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Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations

Multi-hop knowledge graph (KG) reasoning is an effective and explainable...
08/30/2019 ∙ by Xin Lv, et al. ∙ 14 ∙ share

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Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient

Recently, backpropagation through time inspired learning algorithms are ...
01/01/2020 ∙ by Ling Liang, et al. ∙ 14 ∙ share

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Gated Path Selection Network for Semantic Segmentation

Semantic segmentation is a challenging task that needs to handle large s...
01/19/2020 ∙ by Qichuan Geng, et al. ∙ 14 ∙ share

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Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning

Traffic signal control has long been considered as a critical topic in i...
09/30/2019 ∙ by Yusen Huo, et al. ∙ 13 ∙ share

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DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures

Bayesian neural networks (BNNs) introduce uncertainty estimation to deep...
11/22/2019 ∙ by Zhijie Deng, et al. ∙ 13 ∙ share

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CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation

In this paper, we propose a novel heart segmentation pipeline Combining ...
12/12/2018 ∙ by Zhanwei Xu, et al. ∙ 12 ∙ share

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Deep Metric Transfer for Label Propagation with Limited Annotated Data

We study object recognition under the constraint that each object class ...
12/20/2018 ∙ by Bin Liu, et al. ∙ 12 ∙ share

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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Explainability and effectiveness are two key aspects for building recomm...
03/09/2019 ∙ by Weizhi Ma, et al. ∙ 12 ∙ share

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Learning to Transfer Examples for Partial Domain Adaptation

Domain adaptation is critical for learning in new and unseen environment...
03/28/2019 ∙ by Zhangjie Cao, et al. ∙ 12 ∙ share

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The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

We propose the Neuro-Symbolic Concept Learner (NS-CL), a model that lear...
04/26/2019 ∙ by Jiayuan Mao, et al. ∙ 12 ∙ share

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Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation

Facial landmark detection, or face alignment, is a fundamental task that...
08/18/2019 ∙ by Shengju Qian, et al. ∙ 12 ∙ share

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CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Histopathology image analysis plays a critical role in cancer diagnosis ...
08/28/2019 ∙ by Gang Xu, et al. ∙ 12 ∙ share

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PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

Model compression techniques on Deep Neural Network (DNN) have been wide...
09/06/2019 ∙ by Xiaolong Ma, et al. ∙ 11 ∙ share

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Rethinking the Form of Latent States in Image Captioning

RNNs and their variants have been widely adopted for image captioning. I...
07/26/2018 ∙ by Bo Dai, et al. ∙ 10 ∙ share

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CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping

The Reference-based Super-resolution (RefSR) super-resolves a low-resolu...
07/27/2018 ∙ by Haitian Zheng, et al. ∙ 10 ∙ share

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