Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016

Papers citing "Adversarial Training Methods for Semi-Supervised Text Classification"

7 / 7 papers shown

Title
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition Xudong Yang Yizhang Zhu Nan Tang Yuyu Luo 94 0 0 09 Feb 2025
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators Dingkang Yang Dongling Xiao Jinjie Wei Mingcheng Li Zhaoyu Chen Ke Li Li Zhang HILM 138 6 0 28 Jan 2025
Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models Xiaochen Zhu Georgi Karadzhov Chenxi Whitehouse Andreas Vlachos DiffM 134 0 0 15 Dec 2024
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 97 1 0 23 Mar 2023
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling Tsu-Jui Fu Xinze Wang Matthew F. Peterson Scott T. Grafton Miguel P. Eckstein William Yang Wang 84 42 0 17 Nov 2019
Analyzing noise in autoencoders and deep networks Ben Poole Jascha Narain Sohl-Dickstein Surya Ganguli 81 108 0 06 Jun 2014
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 251 9,239 0 16 May 2014