Mind Your Outliers! Investigating the Negative Impact of Outliers on
Active Learning for Visual Question Answering

Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering

6 July 2021

Siddharth Karamcheti

Li Fei-Fei

Christopher D. Manning

Papers citing "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering"

17 / 17 papers shown

Title
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks Jing Yang Max Glockner Anderson de Rezende Rocha Iryna Gurevych LRM 62 1 0 07 Feb 2025
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 83 0 0 10 Nov 2024
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 35 13 0 16 Nov 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 27 27 0 17 Apr 2023
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification Wei Tan Jionghao Lin David Lang Guanliang Chen D. Gašević Lan Du Wray L. Buntine 11 6 0 12 Apr 2023
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report] Maureen Daum Enhao Zhang Dong He Stephen Mussmann Brandon Haynes Ranjay Krishna Magdalena Balazinska 27 4 0 07 Mar 2023
Balanced Audiovisual Dataset for Imbalance Analysis Wenke Xia Xu Zhao Xincheng Pang Changqing Zhang Di Hu 24 1 0 14 Feb 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 20 7 0 14 Feb 2023
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models Julius Gonsior C. Falkenberg Silvio Magino Anja Reusch Maik Thiele Wolfgang Lehner UQCV 36 7 0 06 Oct 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL Ruiqi Zhong Charles Burton Snell Dan Klein Jason Eisner 11 8 0 25 May 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 17 103 0 25 Mar 2022
Cartography Active Learning Mike Zhang Barbara Plank 19 37 0 09 Sep 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 19 22 0 22 Jun 2021
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning Katerina Margatina Loïc Barrault Nikolaos Aletras 19 36 0 16 Apr 2021
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 144 1,464 0 06 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015