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VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
It is well accepted that the choice of token vocabulary largely affects ...
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Online Distributed Job Dispatching with Outdated and Partially-Observable Information
In this paper, we investigate online distributed job dispatching in an e...
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LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Given a natural language statement, how to verify whether it is supporte...
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Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
Unsupervised cross-modal hashing (UCMH) has become a hot topic recently....
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Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Pedestrian detection benefits greatly from deep convolutional neural net...
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Reciprocal Supervised Learning Improves Neural Machine Translation
Despite the recent success on image classification, self-training has on...
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CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
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On the Sentence Embeddings from Pre-trained Language Models
Pre-trained contextual representations like BERT have achieved great suc...
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NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Existing conversational systems are mostly agent-centric, which assumes ...
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Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
Discourse context has been proven useful when translating documents. It ...
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Accelerated computational micromechanics
We present an approach to solving problems in micromechanics that is ame...
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Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
We investigate the following question for machine translation (MT): can ...
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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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SDST: Successive Decoding for Speech-to-text Translation
End-to-end speech-to-text translation (ST), which directly translates th...
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TED: Triple Supervision Decouples End-to-end Speech-to-text Translation
An end-to-end speech-to-text translation (ST) takes audio in a source la...
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Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
This paper highlights several properties of large urban networks that ca...
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Glancing Transformer for Non-Autoregressive Neural Machine Translation
Non-autoregressive neural machine translation achieves remarkable infere...
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An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps
The purpose of the General Data Protection Regulation (GDPR) is to provi...
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Generating Fluent Adversarial Examples for Natural Languages
Efficiently building an adversarial attacker for natural language proces...
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Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
It has been a common approach to pre-train a language model on a large c...
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Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Auto-regressive sequence generative models trained by Maximum Likelihood...
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Xiaomingbot: A Multilingual Robot News Reporter
This paper proposes the building of Xiaomingbot, an intelligent, multili...
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ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Due to its simplicity and outstanding ability to generalize, stochastic ...
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Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Adaptive gradient methods have attracted much attention of machine learn...
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SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
We propose a novel method for combining synthetic and real images when t...
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Network On Network for Tabular Data Classification in Real-world Applications
Tabular data is the most common data format adopted by our customers ran...
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Feature Location Benchmark for Decomposing and Reusing Android Apps
Software reuse enables developers to reuse architecture, programs and ot...
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Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space
In this paper, we focus on reducing the labeled data size for sentence l...
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KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
The research of knowledge-driven conversational systems is largely limit...
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Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Although Shannon theory states that it is asymptotically optimal to sepa...
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LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations
We propose two tiers of modifications to FPGA logic cell architecture to...
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MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency
Binarized neural networks (BNNs) have shown exciting potential for utili...
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Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition
Despite the recent success of deep learning in continuous sign language ...
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Variational Template Machine for Data-to-Text Generation
How to generate descriptions from structured data organized in tables? E...
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Importance-Aware Learning for Neural Headline Editing
Many social media news writers are not professionally trained. Therefore...
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Non-autoregressive Transformer by Position Learning
Non-autoregressive models are promising on various text generation tasks...
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Visual Relationship Detection with Relative Location Mining
Visual relationship detection, as a challenging task used to find and di...
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Kernelized Bayesian Softmax for Text Generation
Neural models for text generation require a softmax layer with proper to...
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Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey
This paper reviews machine learning methods for the motion planning of a...
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Rethinking Text Attribute Transfer: A Lexical Analysis
Text attribute transfer is modifying certain linguistic attributes (e.g....
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Unsupervised Paraphrasing by Simulated Annealing
Unsupervised paraphrase generation is a promising and important research...
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Towards Making the Most of BERT in Neural Machine Translation
GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
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Large-scale traffic signal control using machine learning: some traffic flow considerations
This paper uses supervised learning, random search and deep reinforcemen...
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Correct-and-Memorize: Learning to Translate from Interactive Revisions
State-of-the-art machine translation models are still not on par with hu...
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Generating Sentences from Disentangled Syntactic and Semantic Spaces
Variational auto-encoders (VAEs) are widely used in natural language gen...
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Fixing Gaussian Mixture VAEs for Interpretable Text Generation
Variational auto-encoder (VAE) with Gaussian priors is effective in text...
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Imitation Learning for Non-Autoregressive Neural Machine Translation
Non-autoregressive translation models (NAT) have achieved impressive inf...
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Dynamically Fused Graph Network for Multi-hop Reasoning
Text-based question answering (TBQA) has been studied extensively in rec...
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Domain-Constrained Advertising Keyword Generation
Advertising (ad for short) keyword suggestion is important for sponsored...
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CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
In real-world applications of natural language generation, there are oft...
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