Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
17 | Zhu Li, Zhi-Hua Zhou, Arthur Gretton |
Towards an Understanding of Benign Overfitting in Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2106.03212, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Robert Wolfe, Aylin Caliskan |
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2110.00672, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Dusan Varis, Ondrej Bojar |
Sequence Length is a Domain: Length-based Overfitting in Transformer Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2109.07276, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Jinghui Chen, Yuan Cao 0006, Quanquan Gu |
Benign Overfitting in Adversarially Robust Linear Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2112.15250, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair 0003, Sergey Levine, Chelsea Finn, Dumitru Erhan |
FitVid: Overfitting in Pixel-Level Video Prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2106.13195, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Niladri S. Chatterji, Philip M. Long |
Foolish Crowds Support Benign Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2110.02914, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse |
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2104.06153, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade |
Benign Overfitting of Constant-Stepsize SGD for Linear Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2103.12692, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Peilin Kang, Seyed-Mohsen Moosavi-Dezfooli |
Understanding Catastrophic Overfitting in Adversarial Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.02942, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Yuan-Long Peng, Wei-Po Lee |
Data selection to avoid overfitting for foreign exchange intraday trading with machine learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 108, pp. 107461, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Hongying Zheng, Zhiqiang Zhou, Jianyong Chen |
RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Intell. Neurosci. ![In: Comput. Intell. Neurosci. 2021, pp. 8865816:1-8865816:14, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Janez Demsar, Blaz Zupan |
Hands-on training about overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PLoS Comput. Biol. ![In: PLoS Comput. Biol. 17(3), 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Vasu Singla, Sahil Singla 0002, Soheil Feizi, David Jacobs 0001 |
Low Curvature Activations Reduce Overfitting in Adversarial Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, pp. 16403-16413, 2021, IEEE, 978-1-6654-2812-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Jiaming Liu, Ming Lu, Kaixin Chen 0001, Xiaoqi Li 0009, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen 0001, Chuang Zhang, Ming Wu 0001 |
Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, pp. 4611-4620, 2021, IEEE, 978-1-6654-2812-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Yu Mikami, Chihiro Tsutake, Keita Takahashi 0001, Toshiaki Fujii |
An Efficient Image Compression Method Based On Neural Network: An Overfitting Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: 2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, pp. 2084-2088, 2021, IEEE, 978-1-6654-3102-6. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Le Xu, Lei Cheng 0003, Ngai Wong, Yik-Chung Wu |
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM ![In: IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021, pp. 1439-1444, 2021, IEEE, 978-1-6654-2398-4. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Satoru Watanabe, Hayato Yamana |
Overfitting Measurement of Deep Neural Networks Using No Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DSAA ![In: 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021, pp. 1-10, 2021, IEEE, 978-1-6654-2099-0. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Qipei Li, Ming Yan 0005, Jie Xu |
Optimizing Convolutional Neural Network Performance by Mitigating Underfitting and Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIS ![In: 19th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2021, Shanghai, China, June 23-25, 2021, pp. 126-131, 2021, IEEE, 978-1-6654-1893-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Guilherme Perin, Ileana Buhan, Stjepan Picek |
Learning When to Stop: A Mutual Information Approach to Prevent Overfitting in Profiled Side-Channel Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
COSADE ![In: Constructive Side-Channel Analysis and Secure Design - 12th International Workshop, COSADE 2021, Lugano, Switzerland, October 25-27, 2021, Proceedings, pp. 53-81, 2021, Springer, 978-3-030-89914-1. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Boris Lorbeer, Max Botler |
Anomaly detection with partitioning overfitting autoencoder ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMV ![In: Fourteenth International Conference on Machine Vision, ICMV 2021, Rome, Italy, November 8-12, 2021, pp. 1208404, 2021, SPIE, 9781510650442. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Stéphane Chrétien, Emmanuel Caron |
Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ESANN ![In: 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Wenzhe Lu, Heng Qiao |
On Overfitting in Discrete Super-Resolution Recovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, pp. 4530-4534, 2021, IEEE, 978-1-7281-7606-2. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Ke Wang 0035, Christos Thrampoulidis |
Benign Overfitting in Binary Classification of Gaussian Mixtures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, pp. 4030-4034, 2021, IEEE, 978-1-7281-7606-2. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Amirfarhad Nilizadeh, Gary T. Leavens, Xuan-Bach Dinh Le, Corina S. Pasareanu, David R. Cok |
Exploring True Test Overfitting in Dynamic Automated Program Repair using Formal Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICST ![In: 14th IEEE Conference on Software Testing, Verification and Validation, ICST 2021, Porto de Galinhas, Brazil, April 12-16, 2021, pp. 229-240, 2021, IEEE, 978-1-7281-6836-4. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Jiha Kim, Hyunhee Park |
OA-GAN: Overfitting Avoidance Method of GAN oversampling based on xAI. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICUFN ![In: Twelfth International Conference on Ubiquitous and Future Networks, ICUFN 2021, Jeju Island, South Korea, August 17-20, 2021, pp. 394-398, 2021, IEEE, 978-1-7281-6477-9. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Xuansheng Wu, Feichi Yang, Tong Zhou, Xinyue Lin |
Rethinking the Impacts of Overfitting and Feature Quality on Small-scale Video Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: MM '21: ACM Multimedia Conference, Virtual Event, China, October 20 - 24, 2021, pp. 4760-4764, 2021, ACM, 978-1-4503-8651-7. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang 0002 |
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 15863-15864, 2021, AAAI Press, 978-1-57735-866-4. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Hoki Kim, Woojin Lee, Jaewook Lee 0001 |
Understanding Catastrophic Overfitting in Single-step Adversarial Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 8119-8127, 2021, AAAI Press, 978-1-57735-866-4. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Dusan Varis, Ondrej Bojar |
Sequence Length is a Domain: Length-based Overfitting in Transformer Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMNLP (1) ![In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 8246-8257, 2021, Association for Computational Linguistics. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Robert Wolfe, Aylin Caliskan |
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMNLP (1) ![In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 518-532, 2021, Association for Computational Linguistics. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Frederic Koehler, Lijia Zhou, Danica J. Sutherland, Nathan Srebro |
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual., pp. 20657-20668, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Ke Wang 0035, Vidya Muthukumar, Christos Thrampoulidis |
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual., pp. 24164-24179, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade |
Benign Overfitting of Constant-Stepsize SGD for Linear Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
COLT ![In: Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA., pp. 4633-4635, 2021, PMLR. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Aritra Ray, Hena Ray |
Study of Overfitting through Activation Functions as a Hyper-parameter for Image Clothing Classification using Neural Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCCNT ![In: 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021, Kharagpur, India, July 6-8, 2021, pp. 1-5, 2021, IEEE, 978-1-7281-8595-8. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Malte Schilling |
Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness Through Decentralized Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (4) ![In: Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV, pp. 638-649, 2021, Springer, 978-3-030-86379-1. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Tianlong Chen, Zhenyu Zhang 0015, Sijia Liu 0001, Shiyu Chang, Zhangyang Wang |
Robust Overfitting may be mitigated by properly learned smoothening. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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17 | Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr |
How Benign is Benign Overfitting ? ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Ties van Rozendaal, Iris A. M. Huijben, Taco Cohen |
Overfitting for Fun and Profit: Instance-Adaptive Data Compression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Jing Luo 0006, Yaojie Wang, Rong Xu, Guangming Liu, Xiaofan Wang 0002, Yijing Gong |
Channel Drop Out: A Simple Way to Prevent CNN from Overfitting in Motor Imagery Based BCI. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPCSEE (1) ![In: Data Science - 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China, September 17-20, 2021, Proceedings, Part I, pp. 443-452, 2021, Springer, 978-981-16-5939-3. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Daniel Rivero 0001, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos |
Population subset selection for the use of a validation dataset for overfitting control in genetic programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Exp. Theor. Artif. Intell. ![In: J. Exp. Theor. Artif. Intell. 32(2), pp. 243-271, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
17 | Malte Probst, Franz Rothlauf |
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 21, pp. 78:1-78:31, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Zsuzsanna Szabó, Tomás Mikita, Gábor Négyesi, Orsolya Gyöngyi Varga, Péter Burai, László Takács-Szilágyi, Szilárd Szabó |
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Remote. Sens. ![In: Remote. Sens. 12(21), pp. 3652, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
17 | Ledan Qian, Libing Hu, Li Zhao 0005, Tao Wang 0052, Runhua Jiang |
Sequence-Dropout Block for Reducing Overfitting Problem in Image Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 8, pp. 62830-62840, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
17 | Sean D. McCabe, Dan-Yu Lin, Michael I. Love |
Consistency and overfitting of multi-omics methods on experimental data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Briefings Bioinform. ![In: Briefings Bioinform. 21(4), pp. 1277-1284, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
17 | Illia Horenko |
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. ![In: Neural Comput. 32(8), pp. 1563-1579, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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17 | Zheng Yang, Fan Gao, Songnian Fu, Ming Tang 0005, Deming Liu |
Overfitting effect of artificial neural network based nonlinear equalizer: from mathematical origin to transmission evolution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sci. China Inf. Sci. ![In: Sci. China Inf. Sci. 63(6), 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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17 | Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin |
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2004.03373, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Boris Lorbeer, Max Botler |
Anomaly Detection With Partitioning Overfitting Autoencoder Ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2009.02755, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber |
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2005.00524, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna |
Overfitting and Optimization in Offline Policy Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.15368, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Jason W. Rocks, Pankaj Mehta |
Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.13933, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Shirley Liu, Charles Lehman, Ghassan AlRegib |
Robustness and Overfitting Behavior of Implicit Background Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2008.09306, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Zhaodong Sun |
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.01748, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Stéphane d'Ascoli, Levent Sagun, Giulio Biroli |
Triple descent and the two kinds of overfitting: Where & why do they appear? ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.03509, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr |
How benign is benign overfitting? ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2007.04028, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler 0001, Kim-Hui Yap, Vijay Chandrasekhar 0001 |
Empirical Analysis of Overfitting and Mode Drop in GAN Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.14265, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Maciej A. Czyzewski |
batchboost: regularization for stabilizing training with resistance to underfitting & overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2001.07627, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Vijay Pandey |
Overcoming Overfitting and Large Weight Update Problem in Linear Rectifiers: Thresholded Exponential Rectified Linear Units. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.02797, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw |
An Information-Theoretic Perspective on Overfitting and Underfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.06076, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Wei Wang 0250, Yimeng Chai, Tao Cui, Chuang Wang, Baohua Zhang, Yue Li 0013, Yi An |
Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.13549, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Benjamin J. Lengerich, Eric P. Xing, Rich Caruana |
On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2007.00823, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Zhu Li, Weijie J. Su, Dino Sejdinovic |
Benign Overfitting and Noisy Features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2008.02901, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama |
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.06220, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Zichao Li 0002, Liyuan Liu, Chengyu Dong, Jingbo Shang |
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.08034, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Leslie Rice, Eric Wong 0001, J. Zico Kolter |
Overfitting in adversarially robust deep learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.11569, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Ke Wang 0035, Christos Thrampoulidis |
Benign Overfitting in Binary Classification of Gaussian Mixtures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.09148, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Illia Horenko |
On a scalable entropic breaching of the overfitting barrier in machine learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.03176, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Kathrin Grosse, Taesung Lee, Youngja Park, Michael Backes 0001, Ian M. Molloy |
A new measure for overfitting and its implications for backdooring of deep learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.06721, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Hoki Kim, Woojin Lee, Jaewook Lee 0001 |
Understanding Catastrophic Overfitting in Single-step Adversarial Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.01799, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic |
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2009.07756, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres |
Protecting GANs against privacy attacks by preventing overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2001.00071, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Peizhong Ju, Xiaojun Lin 0001, Jia Liu 0002 |
Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.00492, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Karim Huesmann, Sören Klemm, Lars Linsen, Benjamin Risse |
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.09237, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Anand Ramakrishnan, Warren B. Jackson, Kent Evans |
A novel residual whitening based training to avoid overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2008.03582, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Guilherme Perin, Ileana Buhan, Stjepan Picek |
Learning when to stop: a mutual information approach to fight overfitting in profiled side-channel analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IACR Cryptol. ePrint Arch. ![In: IACR Cryptol. ePrint Arch. 2020, pp. 58, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Oscar Déniz-Suárez, Aníbal Pedraza, Noelia Vállez, Jesús Salido, Gloria Bueno |
Robustness to adversarial examples can be improved with overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Mach. Learn. Cybern. ![In: Int. J. Mach. Learn. Cybern. 11(4), pp. 935-944, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Samuel Yeom, Irene Giacomelli, Alan Menaged, Matt Fredrikson, Somesh Jha |
Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Secur. ![In: J. Comput. Secur. 28(1), pp. 35-70, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Richard C. Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling |
Sparsity through evolutionary pruning prevents neuronal networks from overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Networks ![In: Neural Networks 128, pp. 305-312, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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17 | Edouard Duchesnay |
Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2020 |
RDF |
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17 | Hayato Itsumi, Florian Beye, Yusuke Shinohara, Takanori Iwai |
Training With Cache: Specializing Object Detectors From Live Streams Without Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, pp. 1976-1980, 2020, IEEE, 978-1-7281-6396-3. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler 0001, Kim-Hui Yap, Vijay Chandrasekhar 0001 |
Empirical Analysis Of Overfitting And Mode Drop In Gan Training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, pp. 1651-1655, 2020, IEEE, 978-1-7281-6396-3. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Shirley Liu, Charles Lehman, Ghassan AlRegib |
Robustness And Overfitting Behavior Of Implicit Background Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, pp. 3274-3278, 2020, IEEE, 978-1-7281-6396-3. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Jayadev Acharya, Ananda Theertha Suresh |
Optimal multiclass overfitting by sequence reconstruction from Hamming queries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ALT ![In: Algorithmic Learning Theory, ALT 2020, 8-11 February 2020, San Diego, CA, USA., pp. 3-21, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse |
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR Workshops (3) ![In: Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III, pp. 130-145, 2020, Springer, 978-3-030-68795-3. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones |
Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
COMPSAC ![In: 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020, Madrid, Spain, July 13-17, 2020, pp. 664-673, 2020, IEEE, 978-1-7281-7303-0. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Liangzhu Ge, Yuexian Hou, Yaju Jiang, Shuai Yao, Chao Yang |
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract). ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020., pp. 13791-13792, 2020, AAAI Press, 978-1-57735-823-7. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin |
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO Companion ![In: GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020, pp. 69-70, 2020, ACM, 978-1-4503-7127-8. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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17 | Mingyi Lim, Giovani Guizzo, Justyna Petke |
Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSBSE ![In: Search-Based Software Engineering - 12th International Symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, Proceedings, pp. 188-203, 2020, Springer, 978-3-030-59761-0. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Brian Davis, Kevin McLoughlin, Jonathan E. Allen, Sally R. Ellingson |
Quantifying Overfitting Potential in Drug Binding Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCS (3) ![In: Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part III, pp. 585-598, 2020, Springer, 978-3-030-50419-9. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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17 | Peizhong Ju, Xiaojun Lin 0001, Jia Liu 0002 |
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual., 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Stéphane d'Ascoli, Levent Sagun, Giulio Biroli |
Triple descent and the two kinds of overfitting: where & why do they appear? ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual., 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Fernando M. de Paula Neto, Gustavo I. S. Filho, Cláudio A. Monteiro |
Approaches to Avoid Overfitting in a Quantum Perceptron. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1-8, 2020, IEEE, 978-1-7281-6926-2. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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17 | Hyun-il Lim |
A Study on the Effect of DropConnect to Control Overfitting in Designing Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLIS ![In: Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020, Virtual Event, October 25-28, 2020., pp. 178-183, 2020, IOS Press, 978-1-64368-136-8. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur |
Observational Overfitting in Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Satrajit Chatterjee, Alan Mishchenko |
Circuit-Based Intrinsic Methods to Detect Overfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event., pp. 1459-1468, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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17 | Leslie Rice, Eric Wong 0001, J. Zico Kolter |
Overfitting in adversarially robust deep learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event., pp. 8093-8104, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau |
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). (Journal track) ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, pp. 5055-5059, 2020, ijcai.org. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Nan Lu, Tianyi Zhang, Gang Niu 0001, Masashi Sugiyama |
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], pp. 1115-1125, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw |
An Information-Theoretic Perspective on Overfitting and Underfitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australasian Conference on Artificial Intelligence ![In: AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings, pp. 347-358, 2020, Springer, 978-3-030-64983-8. The full citation details ...](Pics/full.jpeg) |
2020 |
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17 | Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber |
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACL ![In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, pp. 2214-2220, 2020, Association for Computational Linguistics, 978-1-952148-25-5. The full citation details ...](Pics/full.jpeg) |
2020 |
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