Recognition in Terra Incognita

13 July 2018

Papers citing "Recognition in Terra Incognita"

50 / 163 papers shown

Title
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Yunze Tong Junkun Yuan Min Zhang Di-hua Zhu Keli Zhang Fei Wu Kun Kuang 28 7 0 25 May 2023
Learning to detect an animal sound from five examples I. Nolasco Shubhr Singh V. Morfi Vincent Lostanlen A. Strandburg-Peshkin ... Michael G. Emmerson E. Versace E. Grout Haohe Liu D. Stowell 41 37 0 22 May 2023
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test Eungbeom Kim Yunkee Chae Jaeheon Sim Kyogu Lee 17 1 0 22 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 19 8 0 22 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization Sanqing Qu Yingwei Pan Guang-Sheng Chen Ting Yao Changjun Jiang Tao Mei 28 20 0 13 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 33 26 0 04 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 37 20 0 28 Feb 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 46 20 0 27 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 19 7 0 20 Feb 2023
Context Understanding in Computer Vision: A Survey Xuan Wang Zhigang Zhu 16 45 0 10 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 21 9 0 05 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu Xingzhuo Guo Jialong Wu Ximei Wang Jianmin Wang Mingsheng Long OODD VLM 43 74 0 02 Feb 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 26 2 0 28 Jan 2023
Look Beyond Bias with Entropic Adversarial Data Augmentation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Liming Luke Chen CML 32 4 0 10 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
JEMMA: An Extensible Java Dataset for ML4Code Applications Anjan Karmakar Miltiadis Allamanis Romain Robbes VLM 21 3 0 18 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 18 3 0 14 Dec 2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations Raghav Mehta Vítor Albiero Li Chen Ivan Evtimov Tamar Glaser Zhiheng Li Tal Hassner 26 17 0 12 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 35 5 0 09 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 25 29 0 02 Dec 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 24 24 0 29 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 24 10 0 28 Nov 2022
Localized Shortcut Removal Nicolas M. Muller Jochen Jacobs Jennifer Williams Konstantin Böttinger 23 0 0 24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 40 157 0 24 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 18 7 0 15 Nov 2022
Capabilities for Better ML Engineering Chenyang Yang Rachel A. Brower-Sinning Grace A. Lewis Christian Kastner Tongshuang Wu 21 3 0 11 Nov 2022
Domain Generalization through the Lens of Angular Invariance Yujie Jin Xu Chu Yasha Wang Wenwu Zhu OOD 6 3 0 28 Oct 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 29 2 0 24 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation Thomas Duboudin Emmanuel Dellandréa Corentin Abgrall Gilles Hénaff Limin Chen TTA 19 1 0 17 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! Stefan Smeu Elena Burceanu Andrei Liviu Nicolicioiu Emanuela Haller 27 4 0 06 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 38 45 0 30 Sep 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 29 2 0 29 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 29 10 0 20 Sep 2022
Bugs in the Data: How ImageNet Misrepresents Biodiversity A. Luccioni David Rolnick 21 43 0 24 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization X. Zhang Ying-Cong Chen OOD 19 5 0 03 Aug 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay Peter Kulits Suzanne Stathatos Siqi Deng Erik Young Sara Beery Grant Van Horn Pietro Perona 21 26 0 19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 51 71 0 19 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 8 61 0 14 Jul 2022
Tutorial on the development of AI models for medical image analysis Thijs Kooi MedIm 14 0 0 14 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 35 56 0 08 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 30 16 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 19 20 0 29 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 41 48 0 04 Jun 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 44 49 0 30 May 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 35 3 0 30 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 22 8 0 29 May 2022