Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation

17 June 2025

Papers citing "Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation"

31 / 31 papers shown

Title
Prompt Perturbation Consistency Learning for Robust Language Models Yao Qiang Subhrangshu Nandi Ninareh Mehrabi Greg Ver Steeg Anoop Kumar Anna Rumshisky Aram Galstyan 125 10 0 24 Feb 2024
Noisy Self-Training with Synthetic Queries for Dense Retrieval Fan Jiang Tom Drummond Trevor Cohn 95 2 0 27 Nov 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 96 592 0 02 Sep 2023
Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification Laurin Wagner M. Zusag Theresa Bloder 76 12 0 02 Aug 2023
Decomposing Complex Queries for Tip-of-the-tongue Retrieval Kevin Lin Kyle Lo Joseph E. Gonzalez Dan Klein ReLM LMTD 45 17 0 24 May 2023
Hallucinations in Large Multilingual Translation Models Nuno M. Guerreiro Duarte M. Alves Jonas Waldendorf Barry Haddow Alexandra Birch Pierre Colombo André F.T. Martins VLM HILM LRM 180 152 0 28 Mar 2023
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval Kun Zhou Yeyun Gong Xiao Liu Wayne Xin Zhao Yelong Shen ... Jing Lu Rangan Majumder Ji-Rong Wen Nan Duan Weizhu Chen 67 36 0 21 Oct 2022
Collective Relevance Labeling for Passage Retrieval Jihyuk Kim Minsoo Kim Seung-won Hwang VLM 32 8 0 06 May 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 66 11 0 24 Apr 2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation Ehsan Kamalloo Mehdi Rezagholizadeh A. Ghodsi 57 10 0 17 Mar 2022
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Wu Ji-Rong Wen AAML 51 8 0 13 Sep 2021
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback HongChien Yu Chenyan Xiong Jamie Callan RALM 52 70 0 30 Aug 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 277 337 0 12 Aug 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization Jiaao Chen Dinghan Shen Weizhu Chen Diyi Yang BDL 65 48 0 31 May 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 425 1,050 0 17 Apr 2021
Condenser: a Pre-training Architecture for Dense Retrieval Luyu Gao Jamie Callan AI4CE 59 263 0 16 Apr 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 98 20 0 16 Mar 2021
Gradient-based Analysis of NLP Models is Manipulable Junlin Wang Jens Tuyls Eric Wallace Sameer Singh AAML FAtt 65 60 0 12 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 87 131 0 29 Sep 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 251 111 0 26 Aug 2020
Dense Passage Retrieval for Open-Domain Question Answering Vladimir Karpukhin Barlas Oğuz Sewon Min Patrick Lewis Ledell Yu Wu Sergey Edunov Danqi Chen Wen-tau Yih RALM 198 3,778 0 10 Apr 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao T. Zhao 101 564 0 08 Nov 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 275 274 0 30 Sep 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 88 776 0 09 Jun 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 112 1,962 0 31 Jan 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 211 743 0 13 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 80 1,033 0 12 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 118 2,078 0 18 Apr 2018
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset Payal Bajaj Daniel Fernando Campos Nick Craswell Li Deng Jianfeng Gao ... Mir Rosenberg Xia Song Alina Stoica Saurabh Tiwary Tong Wang RALM 145 2,741 0 28 Nov 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015