ALLSH: Active Learning Guided by Local Sensitivity and Hardness

10 May 2022

Mingyuan Zhou

Papers citing "ALLSH: Active Learning Guided by Local Sensitivity and Hardness"

49 / 49 papers shown

Title
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 327 0 0 07 Oct 2024
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 68 110 0 26 Oct 2021
Learning with Different Amounts of Annotation: From Zero to Many Labels Shujian Zhang Chengyue Gong Eunsol Choi 61 32 0 09 Sep 2021
Cartography Active Learning Mike Zhang Barbara Plank 66 38 0 09 Sep 2021
Active Learning by Acquiring Contrastive Examples Katerina Margatina Giorgos Vernikos Loïc Barrault Nikolaos Aletras 66 190 0 08 Sep 2021
Bayesian Attention Belief Networks Shujian Zhang Xinjie Fan Bo Chen Mingyuan Zhou BDL 103 31 0 09 Jun 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering Shujian Zhang Chengyue Gong Eunsol Choi UQLM 61 58 0 02 Jun 2021
Did they answer? Subjective acts and intents in conversational discourse Elisa Ferracane Greg Durrett Junjie Li K. Erk 51 20 0 09 Apr 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 71 29 0 06 Mar 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers Krishna Pillutla Swabha Swayamdipta Rowan Zellers John Thickstun Sean Welleck Yejin Choi Zaïd Harchaoui 93 359 0 02 Feb 2021
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 140 61 0 20 Oct 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 171 184 0 19 Oct 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks Stephen Mussmann Robin Jia Percy Liang 58 15 0 10 Oct 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? Yixin Nie Xiang Zhou Joey Tianyi Zhou 79 138 0 07 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 92 447 0 22 Sep 2020
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space Dongyu Ru Yating Luo Lin Qiu Hao Zhou Mingxuan Wang Weinan Zhang Yong Yu Lei Li 57 29 0 17 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 283 300 0 17 Mar 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Zhaolin Ren Mao Ye Qiang Liu AAML 58 56 0 20 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 155 3,549 0 21 Jan 2020
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 92 681 0 21 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan O. Arik L. Davis Tomas Pfister 194 200 0 16 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 346 6,448 0 26 Sep 2019
Facebook FAIR's WMT19 News Translation Task Submission Nathan Ng Kyra Yee Alexei Baevski Myle Ott Michael Auli Sergey Edunov VLM 58 396 0 15 Jul 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 47 178 0 15 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 85 627 0 19 Jun 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 87 457 0 12 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 85 772 0 09 Jun 2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering Jasdeep Singh Bryan McCann N. Keskar Caiming Xiong R. Socher ELM 43 81 0 27 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 140 3,024 0 06 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 126 2,313 0 29 Apr 2019
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 50 92 0 01 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,729 0 11 Oct 2018
Identifying Generalization Properties in Neural Networks Huan Wang N. Keskar Caiming Xiong R. Socher 43 49 0 19 Sep 2018
Practical Obstacles to Deploying Active Learning David Lowell Zachary Chase Lipton Byron C. Wallace 82 111 0 12 Jul 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 80 529 0 28 May 2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension Adams Wei Yu David Dohan Minh-Thang Luong Rui Zhao Kai Chen Mohammad Norouzi Quoc V. Le RALM AIMat 90 1,095 0 23 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,154 0 20 Apr 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 136 274 0 27 Feb 2018
Deep Active Learning over the Long Tail Yonatan Geifman Ran El-Yaniv 3DPC 65 143 0 02 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 299 12,060 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 677 131,414 0 12 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 146 2,733 0 13 Apr 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 394 10,481 0 21 Jul 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 261 8,124 0 16 Jun 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 80 1,112 0 14 Jun 2016
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 243 2,716 0 20 Nov 2015
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 264 6,107 0 04 Sep 2015
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 304 4,282 0 21 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014