Character-level Convolutional Networks for Text Classification

4 September 2015

Papers citing "Character-level Convolutional Networks for Text Classification"

50 / 892 papers shown

Title
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift Alejandro Moreo 9 0 0 16 May 2025
Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow Ziyu Zhou Yihang Wu J. Yang Zhan Xiao Rongjun Li LRM 34 0 0 13 May 2025
No Query, No Access Wenjie Wang Siyuan Liang Yuyao Zhang Xiaojun Jia Hao Lin Xiaochun Cao AAML 26 0 0 12 May 2025
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification Arezoo Hatefi Xuan-Son Vu Monowar Bhuyan Frank Drewes VLM 37 0 0 10 May 2025
Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models Faeze Ghorbanpour Thiago Zordan Malaguth Aliakbar Akbaritabar 34 0 0 09 May 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction Xiaowei Zhu Yubing Ren Yanan Cao Xixun Lin Fang Fang Yangxi Li 50 0 0 08 May 2025
Adaptive Thresholding for Multi-Label Classification via Global-Local Signal Fusion Dmytro Shamatrin 44 0 0 06 May 2025
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models Zhilin Wang Hongwei Li Rui Zhang Wenbo Jiang Kangjie Chen Tianwei Zhang Qingchuan Zhao Jiawei Li AAML 46 0 0 06 May 2025
Emotions in the Loop: A Survey of Affective Computing for Emotional Support Karishma Hegde Hemadri Jayalath 32 1 0 02 May 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 63 0 0 29 Apr 2025
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning Atul Sharma Kavindu Herath Saurabh Bagchi Chaoyue Liu Somali Chaterji FedML 55 0 0 29 Apr 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Jieming Bian Yuanzhe Peng Lei Wang Yin Huang Jie Xu FedML 65 0 0 29 Apr 2025
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks? Hao Du Shang Liu Yang Cao AAML 55 0 0 28 Apr 2025
MTCSC: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction Junhong Liang Yu Zhou LRM 219 0 0 26 Apr 2025
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models Xuan Li Zhe Yin Xiaodong Gu Beijun Shen AAML MU 62 0 0 25 Apr 2025
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts Qingyue Wang Qi Pang Xixun Lin Shuai Wang Daoyuan Wu MoE 64 0 0 24 Apr 2025
The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style Attributes Wencong You Daniel Lowd 39 0 0 24 Apr 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 65 0 0 22 Apr 2025
Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbić VLM MLLM LRM 79 0 0 03 Apr 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 57 0 0 19 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Marianne Arriola Aaron Gokaslan Justin T Chiu Zhihan Yang Zhixuan Qi Jiaqi Han Subham Sekhar Sahoo Volodymyr Kuleshov DiffM 80 6 0 12 Mar 2025
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs Gonzalo Mancera Daniel DeAlcala Julian Fierrez Ruben Tolosana Aythami Morales 48 1 0 10 Mar 2025
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 235 0 0 09 Mar 2025
Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy Ruixi Lin Ziqiao Wang Yang You FaML 89 1 0 07 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Yong-Jin Liu Meng Sun FedML AAML 60 0 0 06 Mar 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus Lukas Wutschitz Santiago Zanella Béguelin Shruti Tople Reza Shokri 85 0 0 24 Feb 2025
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities Tal Wagner FedML 55 0 0 21 Feb 2025
SR-LLM: Rethinking the Structured Representation in Large Language Model Jiahuan Zhang Tianheng Wang Hanqing Wu Ziyi Huang Yulong Wu Dongbai Chen Linfeng Song Yue Zhang Guozheng Rao Kaicheng Yu 55 1 0 21 Feb 2025
Concept Layers: Enhancing Interpretability and Intervenability via LLM Conceptualization Or Raphael Bidusa Shaul Markovitch 65 0 0 20 Feb 2025
A Survey of Text Classification Under Class Distribution Shift Adriana Valentina Costache Silviu Florin Gheorghe Eduard Poesina Paul Irofti Radu Tudor Ionescu OOD VLM 60 0 0 18 Feb 2025
Diversity-Oriented Data Augmentation with Large Language Models Zaitian Wang Jinghan Zhang Xinhao Zhang Kunpeng Liu Pengfei Wang Yuanchun Zhou 80 1 0 17 Feb 2025
Suboptimal Shapley Value Explanations Xiaolei Lu FAtt 67 0 0 17 Feb 2025
Measuring Diversity in Synthetic Datasets Yuchang Zhu Huizhe Zhang Bingzhe Wu Jintang Li Zibin Zheng Peilin Zhao Liang Chen Yatao Bian 100 0 0 12 Feb 2025
Few-shot LLM Synthetic Data with Distribution Matching Jiyuan Ren Zhaocheng Du Zhihao Wen Qinglin Jia Sunhao Dai Chuhan Wu Zhenhua Dong SyDa 92 0 0 09 Feb 2025
Learning Task Representations from In-Context Learning Baturay Saglam Zhuoran Yang Dionysis Kalogerias Amin Karbasi 60 2 0 08 Feb 2025
Quantifying Correlations of Machine Learning Models Yuanyuan Li Neeraj Sarna Yang Lin 85 0 0 06 Feb 2025
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes Juraj Vladika Stephen Meisenbacher Florian Matthes 146 0 0 06 Feb 2025
Vision-centric Token Compression in Large Language Model Ling Xing Alex Jinpeng Wang Rui Yan Xiangbo Shu Jinhui Tang VLM 65 0 0 02 Feb 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Jiaxin Guo Cheng Chen Shuzhen Li Tianze Zhang 63 0 0 01 Feb 2025
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach J. Yang Dapeng Chen Yajing Sun Rongjun Li Zhiyong Feng Wei Peng 53 5 0 19 Jan 2025
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment Chaoqi Wang Zhuokai Zhao Yibo Jiang Zhaorun Chen Chen Zhu ... Jiayi Liu Lizhu Zhang Xiangjun Fan Hao Ma Sinong Wang 82 4 0 17 Jan 2025
Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability L. Zheng W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 65 1 0 17 Jan 2025
Synthetic Feature Augmentation Improves Generalization Performance of Language Models Ashok Choudhary Cornelius Thiels Hojjat Salehinejad 45 1 0 11 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 95 1 0 03 Jan 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation Qianli Wang Nils Feldhus Simon Ostermann Luis Felipe Villa-Arenas Sebastian Möller Vera Schmitt AAML 37 1 0 01 Jan 2025
VMamba: Visual State Space Model Yue Liu Yunjie Tian Yuzhong Zhao Hongtian Yu Lingxi Xie Yaowei Wang Qixiang Ye Jianbin Jiao Yunfan Liu Mamba 157 628 0 31 Dec 2024
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 78 42 0 31 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Zehao Wang AI4CE 125 0 0 10 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 96 6 0 05 Dec 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 96 1 0 28 Nov 2024