Bayesian Active Learning for Classification and Preference Learning

24 December 2011

Papers citing "Bayesian Active Learning for Classification and Preference Learning"

23 / 23 papers shown

Title
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model Kwanyoung Kim Sanghyun Kim DiffM VGen 119 0 0 23 May 2025
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 352 0 0 01 May 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation Haoyang Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 86 0 0 02 Apr 2025
Towards Uncertainty Unification: A Case Study for Preference Learning Shaoting Peng Haonan Chen Katherine Driggs-Campbell 76 1 0 25 Mar 2025
Instance-wise Supervision-level Optimization in Active Learning Shinnosuke Matsuo Riku Togashi Ryoma Bise Seiichi Uchida Masahiro Nomura 62 0 0 09 Mar 2025
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems Yang Xiang Li Fan Chenke Yin Menglin Kong Chengtao Ji OffRL 61 0 0 22 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 102 0 0 17 Feb 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Abrar Anwar Rohan Gupta Zain Merchant Sayan Ghosh Willie Neiswanger Jesse Thomason OffRL 90 1 0 14 Feb 2025
Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF Guangyi Liu Wen Jiang Boshu Lei Vivek Pandey Kostas Daniilidis N. Motee 79 8 0 20 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 79 3 0 17 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 165 1 0 25 Nov 2024
Scale-Aware Recognition in Satellite Images under Resource Constraints Shreelekha Revankar Cheng Perng Phoo Utkarsh Mall Bharath Hariharan Kavita Bala 74 0 0 31 Oct 2024
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting Matthew Strong Boshu Lei Aiden Swann Wen Jiang Kostas Daniilidis Monroe Kennedy III 3DGS 56 3 0 07 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 62 0 0 01 Oct 2024
Active Diffusion Subsampling Oisin Nolan Tristan S. W. Stevens Wessel L. van Nierop Ruud J. G. van Sloun DiffM MedIm 57 3 0 20 Jun 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 97 2 0 13 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 109 0 0 03 Jun 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 81 0 0 17 May 2024
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios Markus Bayer Justin Lutz Christian A. Reuter 93 7 0 17 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 87 11 0 02 May 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 130 18 0 28 Feb 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles Oleksandr Balabanov Hampus Linander UQCV 76 16 0 19 Feb 2024
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 61 34 0 17 Mar 2022