
-
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Deep metric learning, which learns discriminative features to process im...
read it
-
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
In many practical applications, it is often difficult and expensive to o...
read it
-
Differentiable Feature Aggregation Search for Knowledge Distillation
Knowledge distillation has become increasingly important in model compre...
read it
-
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
In recent years, ride-hailing services have been increasingly prevalent ...
read it
-
Multi-source Distilling Domain Adaptation
Deep neural networks suffer from performance decay when there is domain ...
read it
-
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
Reinforcement learning aims at searching the best policy model for decis...
read it
-
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Structured weight pruning is a representative model compression techniqu...
read it
-
Towards End-to-End Code-Switching Speech Recognition
Code-switching speech recognition has attracted an increasing interest r...
read it
-
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
The performance of face detectors has been largely improved with the dev...
read it
-
Virtual Class Enhanced Discriminative Embedding Learning
Recently, learning discriminative features to improve the recognition pe...
read it
-
Sensitivity Analysis of Deep Neural Networks
Deep neural networks (DNNs) have achieved superior performance in variou...
read it
-
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
A fast and effective motion deblurring method has great application valu...
read it
-
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Driving datasets accelerate the development of intelligent driving and r...
read it
-
PaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant ...
read it
-
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Given a rough, word-by-word gloss of a source language sentence, target ...
read it
-
ROAM: Recurrently Optimizing Tracking Model
Online updating a tracking model to adapt to object appearance variation...
read it
-
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
read it
-
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Structured weight pruning is a representative model compression techniqu...
read it
-
Learning Alignment for Multimodal Emotion Recognition from Speech
Speech emotion recognition is a challenging problem because human convey...
read it
-
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Improving the efficiency of dispatching orders to vehicles is a research...
read it
-
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation
Multimodalities provide promising performance than unimodality in most t...
read it
-
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
Order dispatching and driver repositioning (also known as fleet manageme...
read it
-
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
In this paper, we focus on graph representation learning of heterogeneou...
read it
-
SQLFlow: A Bridge between SQL and Machine Learning
Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
read it
-
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement
Weakly supervised learning aims at coping with scarce labeled data. Prev...
read it
-
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 ...
read it
-
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation
The target of human pose estimation is to determine body part or joint l...
read it
-
Learning Syntactic and Dynamic Selective Encoding for Document Summarization
Text summarization aims to generate a headline or a short summary consis...
read it
-
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation
Contextual multi-armed bandit (MAB) achieves cutting-edge performance on...
read it
-
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Traffic forecasting influences various intelligent transportation system...
read it
-
Neural Topic Modeling with Bidirectional Adversarial Training
Recent years have witnessed a surge of interests of using neural topic m...
read it
-
Parallel Corpus Filtering via Pre-trained Language Models
Web-crawled data provides a good source of parallel corpora for training...
read it
-
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
Building a good speech recognition system usually requires large amounts...
read it
-
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots
Recently, open domain multi-turn chatbots have attracted much interest f...
read it
-
Adversarial Image Generation and Training for Deep Convolutional Neural Networks
Deep convolutional neural networks (DCNNs) have achieved great success i...
read it
-
Fusion Recurrent Neural Network
Considering deep sequence learning for practical application, two repres...
read it
-
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention
Estimated time of arrival (ETA) is one of the most important services in...
read it
-
DrNAS: Dirichlet Neural Architecture Search
This paper proposes a novel differentiable architecture search method by...
read it
-
Road Network Metric Learning for Estimated Time of Arrival
Recently, deep learning have achieved promising results in Estimated Tim...
read it
-
PropagationNet: Propagate Points to Curve to Learn Structure Information
Deep learning technique has dramatically boosted the performance of face...
read it
-
Transformer based unsupervised pre-training for acoustic representation learning
Computational audio analysis has become a central issue in associated ar...
read it