output
20192025
most citedKuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

126 citations

Showing cs.LGShow all

5 papers · 1 filter

cs.LG202222 cited

Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou

Kunpeng Li, Guangcui Shao, Naijun Yang +2

Customer Life Time Value (LTV) is the expected total revenue that a single user can bring to a business. It is widely used in a variety of business scenarios to make operational de…

cs.LG202110 cited

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

Junyu Luo, Jianlei Yang, Xucheng Ye +2

Federated learning aims to protect users' privacy while performing data analysis from different participants. However, it is challenging to guarantee the training efficiency on het…

cs.LG20211 cited

Expanding Semantic Knowledge for Zero-shot Graph Embedding

Zheng Wang, Ruihang Shao, Changping Wang +3

Zero-shot graph embedding is a major challenge for supervised graph learning. Although a recent method RECT has shown promising performance, its working mechanisms are not clear an…

cs.LG20215 cited

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Daochen Zha, Wenye Ma, Lei Yuan +2

Exploration under sparse reward is a long-standing challenge of model-free reinforcement learning. The state-of-the-art methods address this challenge by introducing intrinsic rewa…

cs.LG20208 cited

GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework

Haotao Wang, Shupeng Gui, Haichuan Yang +2

Generative adversarial networks (GANs) have gained increasing popularity in various computer vision applications, and recently start to be deployed to resource-constrained mobile d…