Learning Loss for Active Learning

9 May 2019

In So Kweon

Papers citing "Learning Loss for Active Learning"

50 / 305 papers shown

Title
Towards General and Efficient Active Learning Yichen Xie Masayoshi 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 27 33 0 10 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency Devendra Singh Chaplot Murtaza Dalal Saurabh Gupta Jitendra Malik Ruslan Salakhutdinov 27 74 0 02 Dec 2021
Active Learning for Event Extraction with Memory-based Loss Prediction Model Shirong Shen Zhen Li Guilin Qi 24 1 0 26 Nov 2021
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 73 83 0 08 Nov 2021
Crowdsourcing with Meta-Workers: A New Way to Save the Budget Guangyang Han Guoxian Yu Li-zhen Cui C. Domeniconi Xiangliang Zhang OffRL 20 0 0 07 Nov 2021
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang SSL VLM 12 2 0 01 Nov 2021
How Important is Importance Sampling for Deep Budgeted Training? Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 23 7 0 27 Oct 2021
SLURP: Side Learning Uncertainty for Regression Problems Xuanlong Yu Gianni Franchi Emanuel Aldea UQCV BDL 22 14 0 21 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
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 14 12 0 20 Oct 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Patrick Hemmer Niklas Kühl Jakob Schöffer 21 4 0 18 Oct 2021
Active Learning for Deep Visual Tracking Di Yuan Xiaojun Chang Yi Yang Qiao Liu Dehua Wang Zhenyu He 33 86 0 17 Oct 2021
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Hanghang Tong Jingrui He AI4CE 27 33 0 16 Oct 2021
Knowledge-driven Active Learning Gabriele Ciravegna F. Precioso Alessandro Betti Kevin Mottin Marco Gori 10 2 0 15 Oct 2021
Class-Balanced Active Learning for Image Classification Javad Zolfaghari Bengar Joost van de Weijer Laura Lopez-Fuentes Bogdan Raducanu 11 22 0 09 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 194 33 0 06 Oct 2021
Scaling up instance annotation via label propagation Dim P. Papadopoulos Ethan Weber Antonio Torralba ISeg 28 10 0 05 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
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis Sumit Shekhar Bhanu Prakash Reddy Guda Ashutosh Chaubey Ishan Jindal Avanish Jain 33 0 0 01 Oct 2021
Designing Counterfactual Generators using Deep Model Inversion Jayaraman J. Thiagarajan V. Narayanaswamy Deepta Rajan J. Liang Akshay S. Chaudhari A. Spanias DiffM 20 22 0 29 Sep 2021
Active Learning for Argument Mining: A Practical Approach Nikolai Solmsdorf Dietrich Trautmann Hinrich Schütze HAI 11 1 0 28 Sep 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
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 26 1 0 13 Sep 2021
Mitigating Sampling Bias and Improving Robustness in Active Learning R. Krishnan Alok Sinha Nilesh A. Ahuja Mahesh Subedar Omesh Tickoo R. Iyer 13 9 0 13 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
Influence Selection for Active Learning Zhuoming Liu Hao Ding Huaping Zhong Weijia Li Jifeng Dai Conghui He TDI 24 92 0 20 Aug 2021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models Zhenge Zhao Panpan Xu C. Scheidegger Liu Ren 16 38 0 08 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 24 48 0 03 Aug 2021
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning Javad Zolfaghari Bengar Bogdan Raducanu Joost van de Weijer 11 10 0 30 Jul 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
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection Ismail Elezi Zhiding Yu Anima Anandkumar Laura Leal-Taixe J. Álvarez ObjD 30 39 0 22 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Visual Transformer for Task-aware Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim ViT 16 11 0 07 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle J. Woo 42 11 0 30 May 2021
Sample selection for efficient image annotation Bishwo Adhikari Esa Rahtu H. Huttunen 11 7 0 10 May 2021
An efficient scheme based on graph centrality to select nodes for training for effective learning C. Sandeep Asif Salim R. Sethunadh S. Sumitra 3DPC 26 1 0 29 Apr 2021
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning Mahesh M Dhananjaya V. Kumar S. Yogamani 22 35 0 28 Apr 2021
Multi-class Text Classification using BERT-based Active Learning Sumanth Prabhu Moosa Mohamed Hemant Misra 27 38 0 27 Apr 2021
Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin? Megh Shukla UQCV 10 3 0 19 Apr 2021
A Mathematical Analysis of Learning Loss for Active Learning in Regression Megh Shukla Shuaib Ahmed 6 10 0 19 Apr 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
Active learning for medical code assignment M. D. Ferreira Michal Malyska Nicola Sahar Riccardo Miotto F. Paulovich E. Milios 11 2 0 12 Apr 2021
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations Arjit Jain Sunita Sarawagi Prithviraj Sen 22 24 0 08 Apr 2021
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes Sean Segal Nishanth Kumar Sergio Casas Wenyuan Zeng Mengye Ren Jingkang Wang R. Urtasun 27 5 0 08 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