Efficient Vector Representation for Documents through Corruption

8 July 2017

Papers citing "Efficient Vector Representation for Documents through Corruption"

7 / 7 papers shown

Title
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling Hengran Zhang Keping Bi J. Guo Xiaojie Sun Shihao Liu Daiting Shi Dawei Yin Xueqi Cheng RALM 141 0 0 07 Apr 2025
Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information Vishnu S Pendyala Madhulika Dutta 36 0 0 07 Jul 2024
Coherence-Based Distributed Document Representation Learning for Scientific Documents Shicheng Tan Shu Zhao Yanping Zhang 12 2 0 08 Jan 2022
LongT5: Efficient Text-To-Text Transformer for Long Sequences Mandy Guo Joshua Ainslie David C. Uthus Santiago Ontanon Jianmo Ni Yun-hsuan Sung Yinfei Yang VLM 31 307 0 15 Dec 2021
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 18 10 0 27 Dec 2019
Word Mover's Embedding: From Word2Vec to Document Embedding Lingfei Wu Ian En-Hsu Yen Kun Xu Fangli Xu Avinash Balakrishnan Pin-Yu Chen Pradeep Ravikumar Michael Witbrock 15 106 0 30 Oct 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 10 45 0 17 Jul 2018