Character-level Convolutional Networks for Text Classification

4 September 2015

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

50 / 927 papers shown

Title
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 61 2 0 17 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 65 0 0 16 Jun 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Christopher Schröder Gerhard Heyer VLM 47 0 0 13 Jun 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries Yu-Hsiang Huang Yuche Tsai Hsiang Hsiao Hong-Yi Lin Shou-De Lin SILM 49 9 0 12 Jun 2024
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions Sanjay Kariyappa Freddy Lecue Saumitra Mishra Christopher Pond Daniele Magazzeni Manuela Veloso 56 1 0 03 Jun 2024
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding Kuo Liao Shuang Li Meng Zhao Liqun Liu Mengge Xue Zhenyu Hu Honglin Han Chengguo Yin 47 1 0 30 May 2024
Selective Explanations Lucas Monteiro Paes Dennis L. Wei Flavio du Pin Calmon FAtt 40 0 0 29 May 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Hassan Sajjad Sanjay Chawla AAML 53 0 0 27 May 2024
Scorch: A Library for Sparse Deep Learning Bobby Yan Alexander J. Root Trevor Gale David Broman Fredrik Kjolstad 38 0 0 27 May 2024
Implicit In-context Learning Zhuowei Li Zihao Xu Ligong Han Yunhe Gao Song Wen Di Liu Hao Wang Dimitris N. Metaxas 43 2 0 23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 45 0 23 May 2024
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos V. Cevher AAML 41 3 0 07 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 41 0 0 06 May 2024
ir_explain: a Python Library of Explainable IR Methods Shri Kiran Srinivasan Harsh Agarwal Venktesh V Avishek Anand Swastik Mohanty Debapriyo Majumdar Mandar Mitra XAI 68 1 0 29 Apr 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning Marco Arazzi S. Nicolazzo Antonino Nocera FedML AAML 46 3 0 18 Apr 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing Jiabao Ji Bairu Hou Zhen Zhang Guanhua Zhang Wenqi Fan Qing Li Yang Zhang Gaowen Liu Sijia Liu Shiyu Chang AAML 48 6 0 18 Apr 2024
Personalized Collaborative Fine-Tuning for On-Device Large Language Models Nicolas Wagner Dongyang Fan Martin Jaggi 46 3 0 15 Apr 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 66 19 0 09 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 40 2 0 08 Apr 2024
Can Humans Identify Domains? Maria Barrett Max Müller-Eberstein Elisa Bassignana Amalie Brogaard Pauli Mike Zhang Rob van der Goot 52 1 0 02 Apr 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting Qin Liu Fei Wang Nan Xu Tianyi Yan Tao Meng Muhao Chen LRM 45 7 0 24 Mar 2024
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection Daijun Ding Li Dong Zhichao Huang Guangning Xu Xu Huang Bo Liu Liwen Jing Bowen Zhang 46 4 0 23 Mar 2024
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models Hetvi Waghela Sneha Rakshit Jaydip Sen AAML 36 7 0 17 Mar 2024
Rectifying Demonstration Shortcut in In-Context Learning Joonwon Jang Sanghwan Jang Wonbin Kweon Minjin Jeon Hwanjo Yu 40 1 0 14 Mar 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models Saeed Najafi Alona Fyshe 37 1 0 04 Mar 2024
Analysis of Privacy Leakage in Federated Large Language Models Minh Nhat Vu Truc D. T. Nguyen Tre' R. Jeter My T. Thai 50 6 0 02 Mar 2024
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents Corby Rosset Ho-Lam Chung Guanghui Qin Ethan C. Chau Zhuo Feng Ahmed Hassan Awadallah Jennifer Neville Nikhil Rao 53 10 0 27 Feb 2024
Analysing The Impact of Sequence Composition on Language Model Pre-Training Yu Zhao Yuanbin Qu Konrad Staniszewski Szymon Tworkowski Wei Liu Piotr Milo's Yuxiang Wu Pasquale Minervini 39 15 0 21 Feb 2024
$Se^2$ : Sequential Example Selection for In-Context Learning Haoyu Liu Jianfeng Liu Shaohan Huang Yuefeng Zhan Hao Sun Weiwei Deng Furu Wei Qi Zhang 40 3 0 21 Feb 2024
RITFIS: Robust input testing framework for LLMs-based intelligent software Ming-Ming Xiao Yan Xiao Hai Dong Shunhui Ji Pengcheng Zhang AAML 57 5 0 21 Feb 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space Zongru Wu Zhuosheng Zhang Pengzhou Cheng Gongshen Liu AAML 53 4 0 19 Feb 2024
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network Shuzhou Yuan Ercong Nie Michael Farber Helmut Schmid Hinrich Schütze 39 3 0 18 Feb 2024
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers Shuzhou Yuan Ercong Nie Bolei Ma Michael Farber 47 3 0 18 Feb 2024
Contrastive Instruction Tuning Tianyi Yan Fei Wang James Y. Huang Wenxuan Zhou Fan Yin Aram Galstyan Wenpeng Yin Muhao Chen ALM 33 5 0 17 Feb 2024
Can Transformers Predict Vibrations? Fusataka Kuniyoshi Yoshihide Sawada 32 0 0 16 Feb 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models Kang He Yinghan Long Kaushik Roy 33 2 0 15 Feb 2024
Balancing the Causal Effects in Class-Incremental Learning Junhao Zheng Ruiyan Wang Chongzhi Zhang Hu Feng Qianli Ma CML CLL 49 0 0 15 Feb 2024
Can LLMs Learn New Concepts Incrementally without Forgetting? Junhao Zheng Shengjie Qiu Qianli Ma CLL 45 0 0 13 Feb 2024
OrderBkd: Textual backdoor attack through repositioning Irina Alekseevskaia Konstantin Arkhipenko 32 2 0 12 Feb 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 32 1 0 08 Feb 2024
Data Poisoning for In-context Learning Pengfei He Han Xu Yue Xing Hui Liu Makoto Yamada Jiliang Tang AAML SILM 35 10 0 03 Feb 2024
Nomic Embed: Training a Reproducible Long Context Text Embedder Zach Nussbaum John X. Morris Brandon Duderstadt Andriy Mulyar 27 100 0 02 Feb 2024
An Information-Theoretic Approach to Analyze NLP Classification Tasks Luran Wang Mark Gales Vatsal Raina 27 1 0 01 Feb 2024
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese N. Corrêa Sophia Falk Shiza Fatimah Aniket Sen N. D. Oliveira 32 9 0 30 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A Survey an Luo Xin Xu Yue Liu Panupong Pasupat Mehran Kazemi RALM 42 56 0 21 Jan 2024
Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning Yong Zhang Hanzhang Li Zhitao Li Ning Cheng Ming Li Jing Xiao Jianzong Wang 33 3 0 18 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models Weixiang Zhao Shilong Wang Yulin Hu Yanyan Zhao Bing Qin Xuanyu Zhang Qing Yang Dongliang Xu Wanxiang Che KELM CLL 39 12 0 16 Jan 2024
Generative Deduplication For Socia Media Data Selection Xianming Li Jing Li 42 2 0 11 Jan 2024
Punctuation Matters! Stealthy Backdoor Attack for Language Models Xuan Sheng Zhicheng Li Zhaoyang Han Xiangmao Chang Piji Li 43 3 0 26 Dec 2023
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 45 9 0 22 Dec 2023