Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Ding, Zixiang"'
As models for nature language processing (NLP), computer vision (CV) and recommendation systems (RS) require surging computation, a large number of GPUs/TPUs are paralleled as a large batch (LB) to improve training throughput. However, training such
Externí odkaz:
http://arxiv.org/abs/2309.13681
The analysis and mining of user heterogeneous behavior are of paramount importance in recommendation systems. However, the conventional approach of incorporating various types of heterogeneous behavior into recommendation models leads to feature spar
Externí odkaz:
http://arxiv.org/abs/2308.03333
Recently, ChatGPT has drawn great attention from both the research community and the public. We are particularly interested in whether it can serve as a universal sentiment analyzer. To this end, in this work, we provide a preliminary evaluation of C
Externí odkaz:
http://arxiv.org/abs/2304.04339
In this paper, we propose Stochastic Knowledge Distillation (SKD) to obtain compact BERT-style language model dubbed SKDBERT. In each iteration, SKD samples a teacher model from a pre-defined teacher ensemble, which consists of multiple teacher model
Externí odkaz:
http://arxiv.org/abs/2211.14466
Publikováno v:
In Ecotoxicology and Environmental Safety 1 November 2024 286
Publikováno v:
In Ecological Indicators October 2024 167
Recent works have demonstrated that transformer can achieve promising performance in computer vision, by exploiting the relationship among image patches with self-attention. While they only consider the attention in a single feature layer, but ignore
Externí odkaz:
http://arxiv.org/abs/2202.06268
Different from other deep scalable architecture-based NAS approaches, Broad Neural Architecture Search (BNAS) proposes a broad scalable architecture which consists of convolution and enhancement blocks, dubbed Broad Convolutional Neural Network (BCNN
Externí odkaz:
http://arxiv.org/abs/2111.07722
Emotion cause analysis has received considerable attention in recent years. Previous studies primarily focused on emotion cause extraction from texts in news articles or microblogs. It is also interesting to discover emotions and their causes in conv
Externí odkaz:
http://arxiv.org/abs/2110.08020
Autor:
Li, Jiaqi, Li, Haoran, Chen, Yaran, Ding, Zixiang, Li, Nannan, Ma, Mingjun, Duan, Zicheng, Zhao, Dongbing
Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between the computer powers required by the deep learning models and the resource-constrained devices. However, most of the traditional rule-based net
Externí odkaz:
http://arxiv.org/abs/2110.03858