research
∙
08/12/2023
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition
When labeled data is insufficient, semi-supervised learning with the pse...
share
research
∙
06/06/2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Click-Through Rate (CTR) prediction serves as a fundamental component in...
research
∙
06/06/2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Cascading architecture has been widely adopted in large-scale advertisin...
research
∙
07/18/2022
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution
Knowledge distillation (KD), which can efficiently transfer knowledge fr...
research
∙
06/20/2022
Boosting Cross-Domain Speech Recognition with Self-Supervision
The cross-domain performance of automatic speech recognition (ASR) could...
research
∙
06/20/2022
Adaptive Domain Interest Network for Multi-domain Recommendation
Industrial recommender systems usually hold data from multiple business ...
research
∙
06/18/2022
Decoupled Federated Learning for ASR with Non-IID Data
Automatic speech recognition (ASR) with federated learning (FL) makes it...
research
∙
02/14/2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Model-based methods for recommender systems have been studied extensivel...
research
∙
02/09/2022
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
Most machine learning classifiers only concern classification accuracy, ...
research
∙
10/09/2021
Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition
Self-supervised pre-training has dramatically improved the performance o...
research
∙
09/22/2021
Context-aware Tree-based Deep Model for Recommender Systems
How to predict precise user preference and how to make efficient retriev...
research
∙
05/18/2021
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
Cross-lingual speech adaptation aims to solve the problem of leveraging ...
research
∙
02/18/2021
Truncation-Free Matching System for Display Advertising at Alibaba
Matching module plays a critical role in display advertising systems. Wi...
research
∙
11/05/2020
Domain Adaptation Using Class Similarity for Robust Speech Recognition
When only limited target domain data is available, domain adaptation cou...
research
∙
11/05/2020
Multi-Accent Adaptation based on Gate Mechanism
When only a limited amount of accented speech data is available, to prom...
research
∙
06/27/2020
Learning Optimal Tree Models Under Beam Search
Retrieving relevant targets from an extremely large target set under com...
research
∙
06/17/2019
A Survey of Optimization Methods from a Machine Learning Perspective
Machine learning develops rapidly, which has made many theoretical break...
research
∙
02/19/2019
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Large-scale industrial recommender systems are usually confronted with c...
research
∙
01/08/2018
Learning Tree-based Deep Model for Recommender Systems
We propose a novel recommendation method based on tree. With user behavi...
research
∙
06/21/2017
Deep Interest Network for Click-Through Rate Prediction
To better extract users' interest by exploiting the rich historical beha...
research
∙
02/27/2017
Optimized Cost per Click in Taobao Display Advertising
Taobao, as the largest online retail platform in the world, provides bil...
research
∙
05/21/2016