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2008.05723
Cited By
Contextual Diversity for Active Learning
European Conference on Computer Vision (ECCV), 2020
13 August 2020
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
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Papers citing
"Contextual Diversity for Active Learning"
50 / 138 papers shown
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Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry
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Label-frugal satellite image change detection with generative virtual exemplar learning
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355
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Table Detection with Active Learning
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Nachiketa Purohit
Gaurav Harit
217
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Autoguided Online Data Curation for Diffusion Model Training
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180
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\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition
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145
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Box-Level Class-Balanced Sampling for Active Object Detection
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Xun Xu
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256
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296
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329
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A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
Brian B. Moser
Arundhati S. Shanbhag
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Federico Raue
Joachim Folz
Andreas Dengel
605
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Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
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Shaowei Wang
Dayi Lin
Ahmed E. Hassan
532
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Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
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402
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Active Learning from Scene Embeddings for End-to-End Autonomous Driving
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465
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426
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From Selection to Generation: A Survey of LLM-based Active Learning
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Subhojyoti Mukherjee
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479
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Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
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455
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Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
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Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
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Boaz Lerner
N. Darshan
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317
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Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
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Federico Raue
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Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models
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283
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Active Learning for Vision-Language Models
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Deep Active Learning with Manifold-preserving Trajectory Sampling
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312
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I. Qazi
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448
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397
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EMP: Enhance Memory in Data Pruning
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ESA: Annotation-Efficient Active Learning for Semantic Segmentation
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291
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Downstream-Pretext Domain Knowledge Traceback for Active Learning
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Qingming Huang
335
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Dataset Quantization with Active Learning based Adaptive Sampling
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534
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Yueming Lyu
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311
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TED: Accelerate Model Training by Internal Generalization
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SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
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234
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279
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386
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323
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