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Generalization and Equilibrium in Generative Adversarial Nets (GANs)

2 March 2017

Papers citing "Generalization and Equilibrium in Generative Adversarial Nets (GANs)"

50 / 246 papers shown

Title
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 140 13 0 15 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 60 23 0 11 Jun 2020
Approximating Lipschitz continuous functions with GroupSort neural networks Ugo Tanielian Maxime Sangnier Gérard Biau 82 39 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 103 276 0 09 Jun 2020
Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training Andrei Kucharavy El-Mahdi El-Mhamdi R. Guerraoui GAN 45 1 0 22 May 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 94 45 0 11 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 76 121 0 08 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 158 308 0 30 Apr 2020
Maximum Density Divergence for Domain Adaptation Jingjing Li Erpeng Chen Ding Zhengming Zhu Lei Ke Lu Jikang Cheng OOD 76 286 0 27 Apr 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Yulong Lu Jianfeng Lu 40 19 0 19 Apr 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 181 81 0 10 Mar 2020
Making Method of Moments Great Again? -- How can GANs learn distributions Yuanzhi Li Zehao Dou GAN 64 5 0 09 Mar 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 80 43 0 21 Feb 2020
A Novel Framework for Selection of GANs for an Application Tanya Motwani Manojkumar Somabhai Parmar 83 8 0 20 Feb 2020
A mean-field analysis of two-player zero-sum games Carles Domingo-Enrich Samy Jelassi A. Mensch Grant M. Rotskoff Joan Bruna MLT 132 41 0 14 Feb 2020
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets Gauthier Gidel David Balduzzi Wojciech M. Czarnecki M. Garnelo Yoram Bachrach 89 7 0 14 Feb 2020
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses Niharika Jain Alberto Olmo Hernandez Sailik Sengupta L. Manikonda S. Kambhampati 143 38 0 26 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 847 0 20 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 106 59 0 10 Jan 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 133 40 0 09 Jan 2020
Paraphrase Generation with Latent Bag of Words Yao Fu Yansong Feng John P. Cunningham BDL 114 92 0 07 Jan 2020
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting Indra Deep Mastan Shanmuganathan Raman SupR 65 17 0 09 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks Yongpeng Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 108 88 0 02 Dec 2019
Multi-marginal Wasserstein GAN Jingyun Liang Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen Mingkui Tan 77 79 0 03 Nov 2019
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches Weihao Xia Yujiu Yang Jing-Hao Xue DiffM 3DH CVBM 48 17 0 01 Nov 2019
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks Ben Adlam Charles Weill Amol Kapoor 82 17 0 30 Oct 2019
Small-GAN: Speeding Up GAN Training Using Core-sets Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 99 77 0 29 Oct 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 88 41 0 28 Oct 2019
A study of semi-supervised speaker diarization system using gan mixture model Monisankha Pal Manoj Kumar Raghuveer Peri Shrikanth Narayanan 55 5 0 24 Oct 2019
SGD Learns One-Layer Networks in WGANs Qi Lei Jason D. Lee A. Dimakis C. Daskalakis GAN 80 35 0 15 Oct 2019
Implicit competitive regularization in GANs Florian Schäfer Hongkai Zheng Anima Anandkumar GAN 86 35 0 13 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 83 62 0 09 Oct 2019
Sample Elicitation Jiaheng Wei Zuyue Fu Yang Liu Xingyu Li Zhuoran Yang Zhaoran Wang SyDa 219 0 0 08 Oct 2019
Training Generative Networks with general Optimal Transport distances Vaios Laschos Jan Tinapp Klaus Obermayer OT GAN 25 0 0 01 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 134 88 0 30 Sep 2019
On the Anomalous Generalization of GANs Jinchen Xuan Yunchang Yang Ze Yang Di He Liwei Wang 38 3 0 27 Sep 2019
Cycle-consistent Conditional Adversarial Transfer Networks Jingjing Li Erpeng Chen Zhengming Ding Lei Zhu Ke Lu Zi Huang 77 71 0 17 Sep 2019
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation Shuyang Dai Yu Cheng Yizhe Zhang Zhe Gan Jingjing Liu Lawrence Carin 61 29 0 11 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models Dingfan Chen Ning Yu Yang Zhang Mario Fritz 99 52 0 09 Sep 2019
Imitation Learning from Pixel-Level Demonstrations by HashReward Xin-Qiang Cai Yao-Xiang Ding Yuan Jiang Zhi Zhou 41 10 0 09 Sep 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu Shiwan Zhao Chaochao Chen Haoyang Xu Li Wang Xiaolu Zhang Guangyu Sun Jun Zhou 52 45 0 21 Aug 2019
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution Patricia Vitoria Lara Raad C. Ballester GAN 58 179 0 23 Jul 2019
Capacity Bounded Differential Privacy Kamalika Chaudhuri Jacob Imola Ashwin Machanavajjhala 60 39 0 03 Jul 2019
Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar Amir Houmansadr 88 10 0 15 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 69 17 0 08 Jun 2019
Reconstruction and Membership Inference Attacks against Generative Models Benjamin Hilprecht Martin Härterich Daniel Bernau AAML MIACV 95 192 0 07 Jun 2019
Provably Efficient Imitation Learning from Observation Alone Wen Sun Anirudh Vemula Byron Boots J. Andrew Bagnell 169 107 0 27 May 2019
Max-Sliced Wasserstein Distance and its use for GANs Ishani Deshpande Yuan-Ting Hu Ruoyu Sun A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Zhizhen Zhao David A. Forsyth Alex Schwing GAN 66 202 0 11 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 210 135 0 10 Apr 2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning Jiachen Li Hengbo Ma Masayoshi Tomizuka 84 56 0 04 Apr 2019