Han Cai

Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning

2020 · arXiv (Cornell University)

We present Tiny-Transfer-Learning (TinyTL), an efficient on-device learning method to adapt pre-trained models to newly collected data on edge devices. Different from conventional transfer learning methods that fine-tune the full network or the last layer, …

Product-Based Neural Networks for User Response Prediction

2016

Predicting user responses, such as clicks and conversions, is of great importance and has found its usage inmany Web applications including recommender systems, websearch and online advertising. The data in those applicationsis mostly categorical and …

Long Text Generation via Adversarial Training with Leaked Information

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Automatically generating coherent and semantically meaningful text has many applications in machine translation, dialogue systems, image captioning, etc. Recently, by combining with policy gradient, Generative Adversarial Nets(GAN) that use a discriminative model to guide the …

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement learning (RL) has recently been introduced to interactive recommender systems (IRS) because of its nature of learning from dynamic interactions and planning for long-run performance. As IRS is always with thousands of items to …