NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework

27 August 2024

Shuangchen Zhao

Changde Du

Hui Li

Huiguang He

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Papers citing "NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework"

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Title
On the generalization capacity of neural networks during generic multimodal reasoning Takuya Ito Soham Dan Mattia Rigotti James Kozloski Murray Campbell LRM 51 3 0 26 Jan 2024
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 399 3,514 0 14 Apr 2023
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes A. T. Gifford B. Lahner Sari Saba-Sadiya M. G. Vilas A. Lascelles A. Oliva K. Kay Gemma Roig Radoslaw Martin Cichy AI4CE 86 36 0 09 Jan 2023
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding Zijiao Chen Jiaxin Qing Tiange Xiang Wan Lin Yue J. Zhou DiffM MedIm 108 155 0 13 Nov 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 78 76 0 13 Oct 2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network Liang Du Xiaoqing Ye Xiao Tan Edward Johns Boyu Chen Errui Ding Xiangyang Xue Jianfeng Feng 3DPC 55 37 0 24 Aug 2022
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection Ziteng Cui Guo-Jun Qi Lin Gu Shaodi You Zenghui Zhang Tatsuya Harada ViT 100 100 0 06 May 2022
DeiT III: Revenge of the ViT Hugo Touvron Matthieu Cord Hervé Jégou ViT 129 417 0 14 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,921 0 13 Apr 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 86 69 0 11 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 557 4,421 0 28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 511 15,788 0 20 Dec 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization Haoyue Bai Fengwei Zhou Lanqing Hong Nanyang Ye Shueng-Han Gary Chan Zhenguo Li OOD UQCV 65 44 0 05 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 157 535 0 31 Aug 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq Joty Caiming Xiong Guosheng Lin FaML 223 1,979 0 16 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 735 6,139 0 29 Apr 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen Quanfu Fan Yikang Shen ViT 71 1,486 0 27 Mar 2021
Out of Distribution Generalization in Machine Learning Martín Arjovsky OOD CML 62 93 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 255 1,235 0 02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 363 1,759 0 29 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 456 13,130 0 26 May 2020
Inducing brain-relevant bias in natural language processing models Dan Schwartz Mariya Toneva Leila Wehbe 70 80 0 29 Oct 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs J. Kubilius Martin Schrimpf Kohitij Kar Ha Hong N. Majaj ... Kailyn Schmidt Aran Nayebi Daniel M. Bear Daniel L. K. Yamins J. DiCarlo 116 261 0 13 Sep 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 236 1,484 0 16 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 205 2,246 0 05 Jul 2019
Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang Songwei Ge Eric Xing Zachary Chase Lipton OOD 122 967 0 29 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 182 18,224 0 28 May 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 143 2,676 0 29 Nov 2018
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features S. Palazzo C. Spampinato I. Kavasidis D. Giordano Joseph Schmidt M. Shah 191 117 0 25 Oct 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Noam M. Shazeer Mitchell Stern ODL 86 1,053 0 11 Apr 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 811 132,725 0 12 Jun 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 58 96 0 16 Mar 2017
Deep Learning Human Mind for Automated Visual Classification C. Spampinato S. Palazzo I. Kavasidis Daniela Giordano M. Shah Nasim Souly 94 228 0 01 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 859 36,910 0 25 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 382 14,280 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Generic decoding of seen and imagined objects using hierarchical visual features T. Horikawa Y. Kamitani 50 447 0 22 Oct 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014