Beijing Didi Infinity Technology and Development Co., Ltd.

research

∙ 04/04/2019

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

Deep metric learning, which learns discriminative features to process im...

Tongtong Yuan, et al. ∙

research

∙ 02/26/2020

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

In many practical applications, it is often difficult and expensive to o...

Sicheng Zhao, et al. ∙

research

∙ 11/18/2021

RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

3D object detection from LiDAR data for autonomous driving has been maki...

Yantao Lu, et al. ∙

research

∙ 08/02/2020

Differentiable Feature Aggregation Search for Knowledge Distillation

Knowledge distillation has become increasingly important in model compre...

Yushuo Guan, et al. ∙

research

∙ 01/04/2021

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

In recent years, ride-hailing services have been increasingly prevalent ...

Yuandong Wang, et al. ∙

research

∙ 01/15/2022

A Critical Analysis of Image-based Camera Pose Estimation Techniques

Camera, and associated with its objects within the field of view, locali...

Meng Xu, et al. ∙

research

∙ 11/22/2019

Multi-source Distilling Domain Adaptation

Deep neural networks suffer from performance decay when there is domain ...

Sicheng Zhao, et al. ∙

research

∙ 07/12/2019

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Reinforcement learning aims at searching the best policy model for decis...

Wenjie Shang, et al. ∙

research

∙ 07/06/2019

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

Structured weight pruning is a representative model compression techniqu...

Ning Liu, et al. ∙

research

∙ 10/31/2018

Towards End-to-End Code-Switching Speech Recognition

Code-switching speech recognition has attracted an increasing interest r...

Ne Luo, et al. ∙

research

∙ 11/20/2018

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

The performance of face detectors has been largely improved with the dev...

Wanxin Tian, et al. ∙

research

∙ 11/30/2018

Virtual Class Enhanced Discriminative Embedding Learning

Recently, learning discriminative features to improve the recognition pe...

Binghui Chen, et al. ∙

research

∙ 01/22/2019

Sensitivity Analysis of Deep Neural Networks

Deep neural networks (DNNs) have achieved superior performance in variou...

Hai Shu, et al. ∙

research

∙ 02/24/2019

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

A fast and effective motion deblurring method has great application valu...

Yiwei Zhang, et al. ∙

research

∙ 04/03/2019

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

Driving datasets accelerate the development of intelligent driving and r...

Zhengping Che, et al. ∙

research

∙ 05/20/2019

PaperRobot: Incremental Draft Generation of Scientific Ideas

We present a PaperRobot who performs as an automatic research assistant ...

Qingyun Wang, et al. ∙

research

∙ 06/11/2019

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

Given a rough, word-by-word gloss of a source language sentence, target ...

Nima Pourdamghani, et al. ∙

research

∙ 07/28/2019

ROAM: Recurrently Optimizing Tracking Model

Online updating a tracking model to adapt to object appearance variation...

Tianyu Yang, et al. ∙

research

∙ 08/02/2019

DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...

Kun Han, et al. ∙

research

∙ 07/06/2019

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

Structured weight pruning is a representative model compression techniqu...

Ning Liu, et al. ∙

research

∙ 09/06/2019

Learning Alignment for Multimodal Emotion Recognition from Speech

Speech emotion recognition is a challenging problem because human convey...

Haiyang Xu, et al. ∙

research

∙ 10/07/2019

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

Improving the efficiency of dispatching orders to vehicles is a research...

Ming Zhou, et al. ∙

research

∙ 10/23/2019

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

Multimodalities provide promising performance than unimodality in most t...

Wubo Li, et al. ∙

research

∙ 11/25/2019

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

Order dispatching and driver repositioning (also known as fleet manageme...

John Holler, et al. ∙

research

∙ 12/19/2019

An Attention-based Graph Neural Network for Heterogeneous Structural Learning

In this paper, we focus on graph representation learning of heterogeneou...

Huiting Hong, et al. ∙

research

∙ 01/19/2020

SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...

Yi Wang, et al. ∙

research

∙ 01/19/2020

Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement

Weakly supervised learning aims at coping with scarce labeled data. Prev...

Lan-Zhe Guo, et al. ∙

research

∙ 02/12/2020

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 ...

Sicheng Zhao, et al. ∙

research

∙ 03/17/2020

Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation

The target of human pose estimation is to determine body part or joint l...

Luanxuan Hou, et al. ∙

research

∙ 03/25/2020

Learning Syntactic and Dynamic Selective Encoding for Document Summarization

Text summarization aims to generate a headline or a short summary consis...

Haiyang Xu, et al. ∙

research

∙ 04/02/2020

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation

Contextual multi-armed bandit (MAB) achieves cutting-edge performance on...

Mengyue Yang, et al. ∙

research

∙ 04/23/2020

Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting

Traffic forecasting influences various intelligent transportation system...

Yiwen Sun, et al. ∙

research

∙ 04/26/2020

Neural Topic Modeling with Bidirectional Adversarial Training

Recent years have witnessed a surge of interests of using neural topic m...

Rui Wang, et al. ∙

research

∙ 05/13/2020

Parallel Corpus Filtering via Pre-trained Language Models

Web-crawled data provides a good source of parallel corpora for training...

Boliang Zhang, et al. ∙

research

∙ 05/20/2020

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

Building a good speech recognition system usually requires large amounts...

Dongwei Jiang, et al. ∙

research

∙ 05/16/2020

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

Recently, open domain multi-turn chatbots have attracted much interest f...

Chao Xiong, et al. ∙

research

∙ 06/05/2020

Adversarial Image Generation and Training for Deep Convolutional Neural Networks

Deep convolutional neural networks (DCNNs) have achieved great success i...

Ronghua Shi, et al. ∙

research

∙ 06/07/2020

Fusion Recurrent Neural Network

Considering deep sequence learning for practical application, two repres...

Yiwen Sun, et al. ∙

research

∙ 06/07/2020

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

Estimated time of arrival (ETA) is one of the most important services in...

Yiwen Sun, et al. ∙

research

∙ 06/18/2020

DrNAS: Dirichlet Neural Architecture Search

This paper proposes a novel differentiable architecture search method by...

Xiangning Chen, et al. ∙

research

∙ 06/24/2020

Road Network Metric Learning for Estimated Time of Arrival

Recently, deep learning have achieved promising results in Estimated Tim...

Yiwen Sun, et al. ∙

research

∙ 06/25/2020

PropagationNet: Propagate Points to Curve to Learn Structure Information

Deep learning technique has dramatically boosted the performance of face...

Xiehe Huang, et al. ∙

research

∙ 07/29/2020

Transformer based unsupervised pre-training for acoustic representation learning

Computational audio analysis has become a central issue in associated ar...

Ruixiong Zhang, et al. ∙

research

∙ 05/18/2021

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 ...

Xiaocheng Tang, et al. ∙

research

∙ 08/10/2021

Rethinking Architecture Selection in Differentiable NAS

Differentiable Neural Architecture Search is one of the most popular Neu...

Ruochen Wang, et al. ∙

research

∙ 09/14/2021

Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs

In recent years, online ride-hailing platforms have become an indispensa...

Yuandong Wang, et al. ∙

research

∙ 03/21/2022

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace

Uplift modeling is a rapidly growing approach that utilizes machine lear...

Shu Wan, et al. ∙

research

∙ 07/16/2022

Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection

Monocular 3D object detection is a common solution for low-cost autonomo...

Qian Ye, et al. ∙

Beijing Didi Infinity Technology and Development Co., Ltd.

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