research
∙
09/21/2023
A Chinese Prompt Attack Dataset for LLMs with Evil Content
Large Language Models (LLMs) present significant priority in text unders...
share
research
∙
08/21/2023
Instruction Tuning for Large Language Models: A Survey
This paper surveys research works in the quickly advancing field of inst...
research
∙
08/17/2022
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation
Micro-video recommender systems suffer from the ubiquitous noises in use...
research
∙
06/29/2022
Knowledge Distillation of Transformer-based Language Models Revisited
In the past few years, transformer-based pre-trained language models hav...
research
∙
06/02/2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
To understand human behaviors, action recognition based on videos is a c...
research
∙
05/30/2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
To break the bottlenecks of mainstream cloud-based machine learning (ML)...
research
∙
11/09/2021
Unified Group Fairness on Federated Learning
Federated learning (FL) has emerged as an important machine learning par...
research
∙
06/30/2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
Recent pretraining models in Chinese neglect two important aspects speci...
research
∙
06/01/2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a popu...
research
∙
12/22/2020
FcaNet: Frequency Channel Attention Networks
Attention mechanism, especially channel attention, has gained great succ...
research
∙
08/13/2020
DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
Synthesizing high-resolution realistic images from text descriptions is ...
research
∙
06/27/2020
Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
research
∙
06/12/2020
Learning Decomposed Representation for Counterfactual Inference
One fundamental problem in the learning treatment effect from observatio...
research
∙
02/08/2020
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention
Non-autoregressive translation (NAT) models generate multiple tokens in ...
research
∙
11/11/2015
