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Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
As hashing becomes an increasingly appealing technique for large-scale i...
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WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track
We participate in the DSTC9 Interactive Dialogue Evaluation Track (Gunas...
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SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Depth estimation and semantic segmentation play essential roles in scene...
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Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Boundary information plays a significant role in 2D image segmentation, ...
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Weakly-Supervised Saliency Detection via Salient Object Subitizing
Salient object detection aims at detecting the most visually distinct ob...
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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Pre-trained Language Models (PLMs) have shown strong performance in vari...
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Accelerating Pre-trained Language Models via Calibrated Cascade
Dynamic early exiting aims to accelerate pre-trained language models' (P...
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SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation
Most existing point cloud instance and semantic segmentation methods hea...
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Distance-wise Graph Contrastive Learning
Contrastive learning (CL) has proven highly effective in graph-based sem...
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Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Recently, heatmap regression has been widely explored in facial landmark...
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Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
The success of emotional conversation systems depends on sufficient perc...
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PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
In this paper, we propose Point-Voxel Recurrent All-Pairs Field Transfor...
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A spectral-based framework for hypothesis testing in populations of networks
In this paper, we propose a new spectral-based approach to hypothesis te...
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Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network
Recently, convolutional neural networks (CNNs)-based facial landmark det...
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DisenE: Disentangling Knowledge Graph Embeddings
Knowledge graph embedding (KGE), aiming to embed entities and relations ...
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Multi-Unit Transformers for Neural Machine Translation
Transformer models achieve remarkable success in Neural Machine Translat...
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GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Segmentation of infected areas in chest CT volumes is of great significa...
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Robust Face Alignment by Multi-order High-precision Hourglass Network
Heatmap regression (HR) has become one of the mainstream approaches for ...
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A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
Generating a vivid, novel, and diverse essay with only several given top...
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MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection
As conventional answer selection (AS) methods generally match the questi...
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TurboTransformers: An Efficient GPU Serving System For Transformer Models
The transformer is the most critical algorithm innovation of the Nature ...
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Token-level Adaptive Training for Neural Machine Translation
There exists a token imbalance phenomenon in natural language as differe...
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Disentangle-based Continual Graph Representation Learning
Graph embedding (GE) methods embed nodes (and/or edges) in graph into a ...
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Learning from Context or Names? An Empirical Study on Neural Relation Extraction
Neural models have achieved remarkable success on relation extraction (R...
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WeChat Neural Machine Translation Systems for WMT20
We participate in the WMT 2020 shared news translation task on Chinese t...
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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
Several recent efforts have been devoted to enhancing pre-trained langua...
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A Survival Mediation Model with Bayesian Model Averaging
Determining the extent to which a patient is benefiting from cancer ther...
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Attention Cube Network for Image Restoration
Recently, deep convolutional neural network (CNN) have been widely used ...
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Dynamic Context-guided Capsule Network for Multimodal Machine Translation
Multimodal machine translation (MMT), which mainly focuses on enhancing ...
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Reinforced Axial Refinement Network for Monocular 3D Object Detection
Monocular 3D object detection aims to extract the 3D position and proper...
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MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Knowledge Distillation (KD) has been one of the most popu-lar methods to...
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ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses
Efficient and appropriate online customer service is essential to large ...
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Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis
For multiple aspects scenario of aspect-based sentiment analysis (ABSA),...
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Low-rank Tensor Bandits
In recent years, multi-dimensional online decision making has been playi...
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ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
This paper describes our system for SemEval-2020 Task 4: Commonsense Val...
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A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
Multi-modal neural machine translation (NMT) aims to translate source se...
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Dual Past and Future for Neural Machine Translation
Though remarkable successes have been achieved by Neural Machine Transla...
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Graph-Based Social Relation Reasoning
Human beings are fundamentally sociable – that we generally organize our...
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Adaptive Graph Encoder for Attributed Graph Embedding
Attributed graph embedding, which learns vector representations from gra...
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Uncertainty-aware Score Distribution Learning for Action Quality Assessment
Assessing action quality from videos has attracted growing attention in ...
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Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
Non-autoregressive neural machine translation (NAT) predicts the entire ...
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Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation
We propose a semantics-driven unsupervised learning approach for monocul...
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A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking
Recent studies in dialogue state tracking (DST) leverage historical info...
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Latent Fingerprint Registration via Matching Densely Sampled Points
Latent fingerprint matching is a very important but unsolved problem. As...
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Diversifying Dialogue Generation with Non-Conversational Text
Neural network-based sequence-to-sequence (seq2seq) models strongly suff...
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Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
The neural attention model has achieved great success in data-to-text ge...
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KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
Knowledge graphs (KGs) contains an instance-level entity graph and an on...
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MAVEN: A Massive General Domain Event Detection Dataset
Event detection (ED), which identifies event trigger words and classifie...
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Explicitly Modeling Adaptive Depths for Transformer
The vanilla Transformer conducts a fixed number of computations over all...
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Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization
Recently, variational auto-encoder (VAE) based approaches have made impr...
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