Variational Adversarial Active Learning

31 March 2019

Papers citing "Variational Adversarial Active Learning"

47 / 97 papers shown

Title
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz Xinyu Wang ViT VLM 192 499 0 22 Feb 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation Biao Gao Xijun Zhao Huijing Zhao 39 12 0 18 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning J. Ahn Yeeun Ma Seoyun Park Cheolwoo You FedML 42 22 0 01 Feb 2022
Towards General and Efficient Active Learning Yichen Xie M. Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 43 13 0 11 Dec 2021
Boosting Active Learning via Improving Test Performance Tianyang Wang Xingjian Li Pengkun Yang Guosheng Hu Xiangrui Zeng Siyu Huang Chengzhong Xu Min Xu 25 33 0 10 Dec 2021
Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie Longhui Yuan Shuang Li Chi Harold Liu Xinjing Cheng Guoren Wang 21 107 0 02 Dec 2021
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation Binhui Xie Longhui Yuan Shuang Li Chi Harold Liu Xinjing Cheng UQCV 34 89 0 25 Nov 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray L. Buntine 16 30 0 27 Oct 2021
Single-Modal Entropy based Active Learning for Visual Question Answering Dong-Jin Kim Jae-Won Cho Jinsoo Choi Yunjae Jung In So Kweon 25 12 0 21 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm Kanata Suzuki Taro Sunagawa Tomotake Sasaki Takashi Katoh 18 3 0 03 Oct 2021
S $^3$ VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani Arihant Jain Sumukh K Aithal R. Venkatesh Babu TTA 39 29 0 18 Sep 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 24 60 0 25 Aug 2021
Field-Guide-Inspired Zero-Shot Learning Utkarsh Mall Bharath Hariharan Kavita Bala VLM 35 7 0 24 Aug 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 25 150 0 29 Jul 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 25 66 0 29 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning Jae-Won Cho Dong-Jin Kim Yunjae Jung In So Kweon 16 46 0 23 Jul 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 17 38 0 16 Jun 2021
Visual Transformer for Task-aware Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim ViT 16 11 0 07 Jun 2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood Sanja Fidler M. Law 24 37 0 05 Jun 2021
All you need are a few pixels: semantic segmentation with PixelPick Gyungin Shin Weidi Xie Samuel Albanie VLM 27 42 0 13 Apr 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 31 3 0 06 Apr 2021
Multiple instance active learning for object detection Tianning Yuan Fang Wan Mengying Fu Jianzhuang Liu Songcen Xu Xiangyang Ji QiXiang Ye WSOD 36 120 0 06 Apr 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang Cheng Chen ObjD 22 50 0 18 Mar 2021
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 24 19 0 30 Nov 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 106 124 0 16 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 26 161 0 13 Aug 2020
Learning to Rank for Active Learning: A Listwise Approach Minghan Li Xialei Liu J. Weijer Bogdan Raducanu 27 22 0 31 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 16 118 0 18 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex Benjamin R. Cowley Jonathan W. Pillow 24 10 0 13 Jun 2020
Batch Decorrelation for Active Metric Learning Priyadarshini Kumari Ritesh Goru Siddhartha Chaudhuri Subhasis Chaudhuri 21 7 0 20 May 2020
SoQal: Selective Oracle Questioning in Active Learning Dani Kiyasseh T. Zhu David A. Clifton 25 0 0 22 Apr 2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning Jongwon Choi K. M. Yi Jihoon Kim Jincho Choo Byoungjip Kim Jin-Yeop Chang Youngjune Gwon H. Chang DRL 26 42 0 25 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020
Active Learning for Segmentation Based on Bayesian Sample Queries Firat Özdemir Z. Peng Philipp Fürnstahl C. Tanner O. Goksel 30 22 0 22 Dec 2019
Adversarial Representation Active Learning A. Mottaghi Serena Yeung VLM GAN 25 29 0 20 Dec 2019
Disentanglement based Active Learning S. SilpaV K. Adarsh S. Sumitra DRL 21 0 0 15 Dec 2019
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 21 59 0 11 Dec 2019
Rethinking deep active learning: Using unlabeled data at model training Oriane Siméoni Mateusz Budnik Yannis Avrithis G. Gravier HAI 27 79 0 19 Nov 2019
Small-GAN: Speeding Up GAN Training Using Core-sets Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 35 72 0 29 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015