Learning Loss for Active Learning

9 May 2019

In So Kweon

Papers citing "Learning Loss for Active Learning"

50 / 305 papers shown

Title
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 168 0 0 01 May 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 38 0 0 25 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 174 0 0 25 Apr 2025
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion Yu Sun Yin Li R.-H. Sun Chunhui Liu Fangming Zhou Ze Jin Linjie Wang Xiang Shen Zhuolin Hao Hongyu Xiong VLM 48 0 0 21 Mar 2025
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play Wei Fang Yang Zhang Kaizhi Qian James R. Glass Yada Zhu LLMAG 73 0 0 18 Mar 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning S. Banerjee Vinay K. Verma SSL 63 0 0 10 Mar 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos N. Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 74 1 0 10 Mar 2025
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving Ziliang Xiong Shipeng Liu Nathaniel Helgesen Joakim Johnander Per-Erik Forssén 61 0 0 10 Mar 2025
Instance-wise Supervision-level Optimization in Active Learning Shinnosuke Matsuo Riku Togashi Ryoma Bise Seiichi Uchida Masahiro Nomura 38 0 0 09 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 68 1 0 04 Mar 2025
When does a predictor know its own loss? Aravind Gollakota Parikshit Gopalan Aayush Karan Charlotte Peale Udi Wieder UQCV FaML 67 0 0 27 Feb 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 92 0 0 27 Feb 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 81 0 0 24 Feb 2025
RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Joshua R. Waite Md Zahid Hasan Qisai Liu Zhanhong Jiang Chinmay Hegde S. Sarkar OffRL SyDa 169 1 0 31 Jan 2025
General Information Metrics for Improving AI Model Training Efficiency Jianfeng Xu Congcong Liu Xiaoying Tan Xiaojie Zhu Anpeng Wu ... Weijun Kong Chun Li Hu Xu Kun Kuang Fei Wu 70 0 0 02 Jan 2025
Uncertainty Quantification in Continual Open-World Learning Amanda Rios I. Ndiour Parual Datta Jaroslaw Sydir Omesh Tickoo Nilesh A. Ahuja BDL 81 0 0 21 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector Amanda Rios I. Ndiour Parual Datta Omesh Tickoo Nilesh A. Ahuja 82 0 0 13 Dec 2024
Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening via CT Volume Compression Qian Shao Kai Zhang Bang Du Zehan Li YiXuan Wu Qiyuan Chen Jian Wu J. Chen Honghao Gao Hongxia Xu 69 0 0 02 Dec 2024
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training Shreen Gul Mohamed Elmahallawy S. Madria Ardhendu Tripathy 59 0 0 20 Nov 2024
Scale-Aware Recognition in Satellite Images under Resource Constraints Shreelekha Revankar Cheng Perng Phoo Utkarsh Mall Bharath Hariharan Kavita Bala 29 0 0 31 Oct 2024
Deep Active Learning with Manifold-preserving Trajectory Sampling Yingrui Ji Vijaya Sindhoori Kaza Nishanth Artham Tianyang Wang 29 1 0 21 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 38 0 0 17 Oct 2024
Active Evaluation Acquisition for Efficient LLM Benchmarking Yang Li Jie Ma Miguel Ballesteros Yassine Benajiba Graham Horwood ELM 29 1 0 08 Oct 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao S. K. Maharana Rishabh K Iyer Yunhui Guo 3DPC 33 0 0 04 Oct 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 29 0 0 04 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 159 2 0 02 Oct 2024
AL-GTD: Deep Active Learning for Gaze Target Detection Francesco Tonini Nicola Dall’Asen Lorenzo Vaquero Cigdem Beyan Elisa Ricci 23 0 0 27 Sep 2024
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation Ye-Wen Wang Chen-Chen Zong Ming-Kun Xie Sheng-Jun Huang 23 0 0 26 Sep 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 26 0 0 23 Sep 2024
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation Maying Shen Nadine Chang Sifei Liu Jose M. Alvarez 36 0 0 20 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection Qian Shao Jiangrui Kang Qiyuan Chen Zepeng Li Hongxia Xu Yiwen Cao Jiajuan Liang Jian Wu 28 0 0 18 Sep 2024
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching Kurran Singh John J. Leonard 24 0 0 17 Sep 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion Yifei Yao Hanrong Zhang 44 1 0 12 Sep 2024
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection Huang-Yu Chen Jia-Fong Yeh Jia-Wei Liao Pin-Hsuan Peng Winston H. Hsu 57 0 0 09 Sep 2024
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling Zongyao Lyu William J. Beksi DRL 20 0 0 23 Aug 2024
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model Jaehyuk Heo Pilsung Kang VLM 28 1 0 09 Aug 2024
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 48 0 0 03 Aug 2024
A Cross-Domain Benchmark for Active Learning M. M. Kholoosi M. A. Babar Maximilian Stubbemann Lars Schmidt-Thieme 37 1 0 01 Aug 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge Yupei Yang Erdun Gao Shikui Tu Lei Xu CML 34 1 0 30 Jul 2024
Downstream-Pretext Domain Knowledge Traceback for Active Learning Beichen Zhang Liang-Sheng Li Zheng-Jun Zha Jiebo Luo Qingming Huang 33 0 0 20 Jul 2024
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations Pradeep Bajracharya J. Q. Toledo-Marín Geoffrey C. Fox S. Jha Linwei Wang AI4CE 45 1 0 10 Jul 2024
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection Yeonghyeon Park Sungho Kang Myung Jin Kim Hyeong Seok Kim Juneho Yi AAML 34 0 0 05 Jul 2024
Parameter-Efficient Active Learning for Foundational models Athmanarayanan Lakshmi Narayanan R. Krishnan Amrutha Machireddy Mahesh Subedar VLM 26 0 0 13 Jun 2024
Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network Houze Liu Iris Li Yaxin Liang Dan Sun Yining Yang Haowei Yang 25 12 0 13 Jun 2024
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets Yixiong Chen Zongwei Zhou Alan L. Yuille 37 1 0 01 Jun 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images Lianlei Shan Weiqiang Wang Ke Lv Bin Luo VLM 25 0 0 28 May 2024
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning Yanbing Bai Xinyi Wu Lai Xu Jihan Pei Erick Mas Shunichi Koshimura 28 1 0 28 May 2024
Salutary Labeling with Zero Human Annotation Wenxiao Xiao Hongfu Liu 27 0 0 27 May 2024
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples D. Jo Kyuewang Lee Jaeho Chung Jin Young Choi 16 0 0 25 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 46 3 0 18 May 2024