Beijing Didi Infinity Technology and Development Co., Ltd.

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,, formerly Didi Kuaidi, is a global transportation company headquartered in Beijing.

Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

Deep metric learning, which learns discriminative features to process im...
04/04/2019 ∙ by Tongtong Yuan, et al. ∙ 44 ∙ share

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Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

In many practical applications, it is often difficult and expensive to o...
02/26/2020 ∙ by Sicheng Zhao, et al. ∙ 38 ∙ share

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Differentiable Feature Aggregation Search for Knowledge Distillation

Knowledge distillation has become increasingly important in model compre...
08/02/2020 ∙ by Yushuo Guan, et al. ∙ 28 ∙ share

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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph

In recent years, ride-hailing services have been increasingly prevalent ...
01/04/2021 ∙ by Yuandong Wang, et al. ∙ 14 ∙ share

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Multi-source Distilling Domain Adaptation

Deep neural networks suffer from performance decay when there is domain ...
11/22/2019 ∙ by Sicheng Zhao, et al. ∙ 8 ∙ share

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Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Reinforcement learning aims at searching the best policy model for decis...
07/12/2019 ∙ by Wenjie Shang, et al. ∙ 4 ∙ share

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AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...
07/06/2019 ∙ by Ning Liu, et al. ∙ 2 ∙ share

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Towards End-to-End Code-Switching Speech Recognition

Code-switching speech recognition has attracted an increasing interest r...
10/31/2018 ∙ by Ne Luo, et al. ∙ 0 ∙ share

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Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision

The performance of face detectors has been largely improved with the dev...
11/20/2018 ∙ by Wanxin Tian, et al. ∙ 0 ∙ share

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Virtual Class Enhanced Discriminative Embedding Learning

Recently, learning discriminative features to improve the recognition pe...
11/30/2018 ∙ by Binghui Chen, et al. ∙ 0 ∙ share

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Sensitivity Analysis of Deep Neural Networks

Deep neural networks (DNNs) have achieved superior performance in variou...
01/22/2019 ∙ by Hai Shu, et al. ∙ 0 ∙ share

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Bi-Skip: A Motion Deblurring Network Using Self-paced Learning

A fast and effective motion deblurring method has great application valu...
02/24/2019 ∙ by Yiwei Zhang, et al. ∙ 0 ∙ share

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D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

Driving datasets accelerate the development of intelligent driving and r...
04/03/2019 ∙ by Zhengping Che, et al. ∙ 0 ∙ share

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PaperRobot: Incremental Draft Generation of Scientific Ideas

We present a PaperRobot who performs as an automatic research assistant ...
05/20/2019 ∙ by Qingyun Wang, et al. ∙ 0 ∙ share

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Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation

Given a rough, word-by-word gloss of a source language sentence, target ...
06/11/2019 ∙ by Nima Pourdamghani, et al. ∙ 0 ∙ share

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ROAM: Recurrently Optimizing Tracking Model

Online updating a tracking model to adapt to object appearance variation...
07/28/2019 ∙ by Tianyu Yang, et al. ∙ 0 ∙ share

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DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...
08/02/2019 ∙ by Kun Han, et al. ∙ 0 ∙ share

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AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...
07/06/2019 ∙ by Ning Liu, et al. ∙ 0 ∙ share

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Learning Alignment for Multimodal Emotion Recognition from Speech

Speech emotion recognition is a challenging problem because human convey...
09/06/2019 ∙ by Haiyang Xu, et al. ∙ 0 ∙ share

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Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Improving the efficiency of dispatching orders to vehicles is a research...
10/07/2019 ∙ by Ming Zhou, et al. ∙ 0 ∙ share

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TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation

Multimodalities provide promising performance than unimodality in most t...
10/23/2019 ∙ by Wubo Li, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem

Order dispatching and driver repositioning (also known as fleet manageme...
11/25/2019 ∙ by John Holler, et al. ∙ 0 ∙ share

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An Attention-based Graph Neural Network for Heterogeneous Structural Learning

In this paper, we focus on graph representation learning of heterogeneou...
12/19/2019 ∙ by Huiting Hong, et al. ∙ 0 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement

Weakly supervised learning aims at coping with scarce labeled data. Prev...
01/19/2020 ∙ by Lan-Zhe Guo, et al. ∙ 0 ∙ share

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An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos

Emotion recognition in user-generated videos plays an important role in ...
02/12/2020 ∙ by Sicheng Zhao, et al. ∙ 0 ∙ share

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Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation

The target of human pose estimation is to determine body part or joint l...
03/17/2020 ∙ by Luanxuan Hou, et al. ∙ 0 ∙ share

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Learning Syntactic and Dynamic Selective Encoding for Document Summarization

Text summarization aims to generate a headline or a short summary consis...
03/25/2020 ∙ by Haiyang Xu, et al. ∙ 0 ∙ share

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Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation

Contextual multi-armed bandit (MAB) achieves cutting-edge performance on...
04/02/2020 ∙ by Mengyue Yang, et al. ∙ 0 ∙ share

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Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting

Traffic forecasting influences various intelligent transportation system...
04/23/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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Neural Topic Modeling with Bidirectional Adversarial Training

Recent years have witnessed a surge of interests of using neural topic m...
04/26/2020 ∙ by Rui Wang, et al. ∙ 0 ∙ share

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Parallel Corpus Filtering via Pre-trained Language Models

Web-crawled data provides a good source of parallel corpora for training...
05/13/2020 ∙ by Boliang Zhang, et al. ∙ 0 ∙ share

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A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition

Building a good speech recognition system usually requires large amounts...
05/20/2020 ∙ by Dongwei Jiang, et al. ∙ 0 ∙ share

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Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots

Recently, open domain multi-turn chatbots have attracted much interest f...
05/16/2020 ∙ by Chao Xiong, et al. ∙ 0 ∙ share

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Adversarial Image Generation and Training for Deep Convolutional Neural Networks

Deep convolutional neural networks (DCNNs) have achieved great success i...
06/05/2020 ∙ by Ronghua Shi, et al. ∙ 0 ∙ share

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Fusion Recurrent Neural Network

Considering deep sequence learning for practical application, two repres...
06/07/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention

Estimated time of arrival (ETA) is one of the most important services in...
06/07/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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DrNAS: Dirichlet Neural Architecture Search

This paper proposes a novel differentiable architecture search method by...
06/18/2020 ∙ by Xiangning Chen, et al. ∙ 0 ∙ share

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Road Network Metric Learning for Estimated Time of Arrival

Recently, deep learning have achieved promising results in Estimated Tim...
06/24/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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PropagationNet: Propagate Points to Curve to Learn Structure Information

Deep learning technique has dramatically boosted the performance of face...
06/25/2020 ∙ by Xiehe Huang, et al. ∙ 0 ∙ share

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Transformer based unsupervised pre-training for acoustic representation learning

Computational audio analysis has become a central issue in associated ar...
07/29/2020 ∙ by Ruixiong Zhang, et al. ∙ 0 ∙ share

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Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms

Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens ...
05/18/2021 ∙ by Xiaocheng Tang, et al. ∙ 0 ∙ share

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Beijing Didi Infinity Technology and Development Co., Ltd.

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