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06/22/2023
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast
Over the past few years, due to the rapid development of machine learnin...
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06/16/2021
Structure First Detail Next: Image Inpainting with Pyramid Generator
Recent deep generative models have achieved promising performance in ima...
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05/19/2021
Accelerating Gossip SGD with Periodic Global Averaging
Communication overhead hinders the scalability of large-scale distribute...
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04/24/2021
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training
The scale of deep learning nowadays calls for efficient distributed trai...
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04/08/2021
Multiple Object Tracking with Correlation Learning
Recent works have shown that convolutional networks have substantially i...
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04/07/2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-shot class-incremental learning (FSCIL) aims to design machine learn...
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03/09/2021
Practical Relative Order Attack in Deep Ranking
Recent studies unveil the vulnerabilities of deep ranking models, where ...
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02/09/2021
Distribution Adaptive INT8 Quantization for Training CNNs
Researches have demonstrated that low bit-width (e.g., INT8) quantizatio...
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02/09/2021
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
Nowadays, live-stream and short video shopping in E-commerce have grown ...
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12/10/2020
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Adapting semantic segmentation models to new domains is an important but...
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08/25/2020
Weakly Supervised Learning with Side Information for Noisy Labeled Images
In many real-world datasets, like WebVision, the performance of DNN base...
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08/19/2020
Balanced Order Batching with Task-Oriented Graph Clustering
Balanced order batching problem (BOBP) arises from the process of wareho...
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06/23/2019
Optimal Solution Predictions for Mixed Integer Programs
Mixed Integer Programming (MIP) is one of the most widely used modeling ...
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03/07/2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System
In this paper, we study a courier dispatching problem (CDP) raised from ...
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11/29/2018
A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System
Packing cost accounts for a large part of the e-commerce logistics cost....
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11/26/2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
Convolutional neural networks (CNNs) are effective at solving difficult ...
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04/17/2018
A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem
This paper studies a new type of 3D bin packing problem (BPP), in which ...
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03/02/2018
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application
In e-commerce platforms such as Amazon and TaoBao, ranking items in a se...
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08/20/2017