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GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
Graph Neural Networks (GNNs) have recently shown to be powerful tools fo...
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Structural Information Preserving for Graph-to-Text Generation
The task of graph-to-text generation aims at producing sentences that pr...
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Two-step multi-resolution reconstruction-based compact gas-kinetic scheme on tetrahedral mesh
In this paper, a third-order compact gas-kinetic scheme (GKS) on unstruc...
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Joint Coreference Resolution and Character Linking for Multiparty Conversation
Character linking, the task of linking mentioned people in conversations...
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TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
This technique report introduces TexSmart, a text understanding system t...
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Robust Dialogue Utterance Rewriting as Sequence Tagging
The task of dialogue rewriting aims to reconstruct the latest dialogue u...
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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
The learning and evaluation of energy-based latent variable models (EBLV...
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Bi-level Score Matching for Learning Energy-based Latent Variable Models
Score matching (SM) provides a compelling approach to learn energy-based...
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Unified gas-kinetic wave-particle methods V: diatomic molecular flow
In this paper, the unified gas-kinetic wave-particle (UGKWP) method is f...
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A compact high-order gas-kinetic scheme on unstructured mesh for acoustic and shock wave computations
In this paper an even higher-order compact GKS up to sixth order of accu...
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Semantic Role Labeling Guided Multi-turn Dialogue ReWriter
For multi-turn dialogue rewriting, the capacity of effectively modeling ...
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A three-dimensional unified gas-kinetic wave-particle solver for flow computation in all regimes
In this paper, the unified gas-kinetic wave-particle (UGKWP) method has ...
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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
Weakly supervised phrase grounding aims at learning region-phrase corres...
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A Unified Gas-kinetic Scheme for Micro Flow Simulation Based on Linearized Kinetic Equation
The flow regime of micro flow varies from collisionless regime to hydrod...
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A Survey of Adversarial Learning on Graphs
Deep learning models on graphs have achieved remarkable performance in v...
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On the Role of Conceptualization in Commonsense Knowledge Graph Construction
Commonsense knowledge graphs (CKG) like Atomic and ASER are substantiall...
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Boosting Adversarial Training with Hypersphere Embedding
Adversarial training (AT) is one of the most effective defenses to impro...
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Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Existing entity alignment methods mainly vary on the choices of encoding...
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Multiplex Word Embeddings for Selectional Preference Acquisition
Conventional word embeddings represent words with fixed vectors, which a...
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Triple Generative Adversarial Networks
Generative adversarial networks (GANs) have shown promise in image gener...
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Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Analysis of large-scale sequential data has been one of the most crucial...
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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
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Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Generative adversarial networks (GANs) have made significant progress on...
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Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
It has been widely recognized that adversarial examples can be easily cr...
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On unified preserving properties of kinetic schemes
Numerical modeling of fluid flows based on kinetic equations provides an...
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DurIAN: Duration Informed Attention Network For Multimodal Synthesis
In this paper, we present a generic and robust multimodal synthesis syst...
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High-order gas-kinetic scheme with three-dimensional WENO reconstruction for the Euler and Navier-Stokes solutions
In this paper, a simple and efficient third-order weighted essentially n...
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Efficient training and design of photonic neural network through neuroevolution
Recently, optical neural networks (ONNs) integrated in photonic chips ha...
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Multi-Granular Text Encoding for Self-Explaining Categorization
Self-explaining text categorization requires a classifier to make a pred...
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Multi-objects Generation with Amortized Structural Regularization
Deep generative models (DGMs) have shown promise in image generation. Ho...
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Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Previous cross-lingual knowledge graph (KG) alignment studies rely on en...
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Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Previous work shows that adversarially robust generalization requires la...
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Lattice CNNs for Matching Based Chinese Question Answering
Short text matching often faces the challenges that there are great word...
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Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Most approaches to extraction multiple relations from a paragraph requir...
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Improving Adversarial Robustness via Promoting Ensemble Diversity
Though deep neural networks have achieved significant progress on variou...
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Adversarial Variational Inference and Learning in Markov Random Fields
Markov random fields (MRFs) find applications in a variety of machine le...
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Word Mover's Embedding: From Word2Vec to Document Embedding
While the celebrated Word2Vec technique yields semantically rich represe...
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SQL-to-Text Generation with Graph-to-Sequence Model
Previous work approaches the SQL-to-text generation task using vanilla S...
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Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Existing neural semantic parsers mainly utilize a sequence encoder, i.e....
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Deep Structured Generative Models
Deep generative models have shown promising results in generating realis...
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Learning Implicit Generative Models by Teaching Explicit Ones
Implicit generative models are difficult to train as no explicit probabi...
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Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Celebrated Sequence to Sequence learning (Seq2Seq) and its fruitful vari...
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Chinese Text in the Wild
We introduce Chinese Text in the Wild, a very large dataset of Chinese t...
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The YouTube-8M Kaggle Competition: Challenges and Methods
We took part in the YouTube-8M Video Understanding Challenge hosted on K...
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Triple Generative Adversarial Nets
Generative Adversarial Nets (GANs) have shown promise in image generatio...
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Question Answering on Freebase via Relation Extraction and Textual Evidence
Existing knowledge-based question answering systems often rely on small ...
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Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
Syntactic features play an essential role in identifying relationship in...
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