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Keyword

mode collapse

Description: A failure of a generative model, especially a generative adversarial network, to produce diverse outputs.
Wikidata ID: wiki/Q132181328
OpenAlex ID: keywords/mode-collapse
Wasserstein GAN
2017 · Arjovsky, Martin, Chintala, Soumith, et al. · arXiv (Cornell University) · 2,224
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Diverse Image-to-Image Translation via Disentangled Representations
2018 · Hsin-Ying Lee, Hung-Yu Tseng, et al. · Lecture notes in computer science · 1,287
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Toward Multimodal Image-to-Image Translation
2017 · Zhu, Jun-Yan, Zhang, Richard, et al. · arXiv (Cornell University) · 1,141
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SRDiff: Single image super-resolution with diffusion probabilistic models
2022 · Haoying Li, Yifan Yang, et al. · Neurocomputing · 760
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Generating Diverse High-Fidelity Images with VQ-VAE-2
2019 · Razavi, Ali, Oord, Aaron van den, et al. · arXiv (Cornell University) · 708
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Generative Adversarial Networks (GANs)
2021 · Divya Saxena, Jiannong Cao · ACM Computing Surveys · 701
Unrolled Generative Adversarial Networks
2016 · Metz, Luke, Poole, Ben, et al. · arXiv (Cornell University) · 663
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VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
2017 · Srivastava, Akash, Valkov, Lazar, et al. · arXiv (Cornell University) · 523
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Multimodal Motion Prediction with Stacked Transformers
2021 · Yicheng Liu, Jinghuai Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 491
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On Convergence and Stability of GANs
2017 · Kodali, Naveen, Abernethy, Jacob, et al. · arXiv (Cornell University) · 444
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Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
2019 · Qi Mao, Hsin-Ying Lee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 443
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MolGAN: An implicit generative model for small molecular graphs
2018 · De Cao, Nicola, Kipf, Thomas · arXiv (Cornell University) · 442
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Mode Regularized Generative Adversarial Networks
2016 · Che, Tong, Li, Yanran, et al. · arXiv (Cornell University) · 442
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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
2017 · Choi, Edward, Biswal, Siddharth, et al. · arXiv (Cornell University) · 423
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Evolutionary Generative Adversarial Networks
2019 · Chaoyue Wang, Chang Xu, et al. · IEEE Transactions on Evolutionary Computation · 379
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A Survey on Generative Adversarial Networks: Variants, Applications, and Training
2021 · Abdul Jabbar, Xi Li, et al. · ACM Computing Surveys · 367
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Wasserstein GAN
2017 · Martín Arjovsky, Soumith Chintala, et al. · arXiv (Cornell University) · 367
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework
2022 · Wei Li, Xiang Zhong, et al. · Advanced Engineering Informatics · 341
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs
2019 · Javad Amirian, Jean-Bernard Hayet, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 341
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Seeing What a GAN Cannot Generate
2020 · DSpace@MIT (Massachusetts Institute of Technology) · 336
Generative Adversarial Active Learning for Unsupervised Outlier Detection
2019 · Yezheng Liu, Zhe Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 336
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Multi-agent Diverse Generative Adversarial Networks
2018 · Arnab Ghosh, Viveka Kulharia, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 306
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model
2023 · Rafailov, Rafael, Sharma, Archit, et al. · arXiv (Cornell University) · 293
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Adversarial Feature Matching for Text Generation
2017 · Zhang, Yizhe, Gan, Zhe, et al. · arXiv (Cornell University) · 278
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Deep learning versus conventional methods for missing data imputation: A review and comparative study
2023 · Yige Sun, Jing Li, et al. · Expert Systems with Applications · 277
Works count: 2,764
Citation count: 41,410
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