How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?

16 November 2015

Papers citing "How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?"

50 / 54 papers shown

Title
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen Yao Liu Siliang Zeng Pratik Chaudhar Huzefa Rangwala George Karypis Rasool Fakoor SyDa AIFin 34 3 0 18 Oct 2024
Efficient Inference for Large Language Model-based Generative Recommendation Xinyu Lin Chaoqun Yang Wenjie Wang Yongqi Li Cunxiao Du Fuli Feng See-Kiong Ng Tat-Seng Chua 70 4 0 07 Oct 2024
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies Shiyue Zhang Shijie Wu Ozan Irsoy Steven Lu Joey Tianyi Zhou Mark Dredze David S. Rosenberg 23 9 0 26 May 2023
Tailoring Language Generation Models under Total Variation Distance Haozhe Ji Pei Ke Zhipeng Hu Rongsheng Zhang Minlie Huang 28 18 0 26 Feb 2023
Reward Gaming in Conditional Text Generation Richard Yuanzhe Pang Vishakh Padmakumar Thibault Sellam Ankur P. Parikh He He 35 24 0 16 Nov 2022
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization Rajkumar Ramamurthy Prithviraj Ammanabrolu Kianté Brantley Jack Hessel R. Sifa Christian Bauckhage Hannaneh Hajishirzi Yejin Choi OffRL 31 240 0 03 Oct 2022
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings M. Alzantot L. Garcia Mani B. Srivastava 27 1 0 25 Apr 2022
DeepCreativity: Measuring Creativity with Deep Learning Techniques Giorgio Franceschelli Mirco Musolesi 31 5 0 16 Jan 2022
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning Yanqing Ma Carmine Ventre M. Polukarov NoLa 23 7 0 19 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 34 12 0 26 Nov 2021
Relating Neural Text Degeneration to Exposure Bias Ting-Rui Chiang Yun-Nung Chen 53 17 0 17 Sep 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation Michalis Korakakis Andreas Vlachos CLL 31 2 0 13 Sep 2021
Photon detection probability prediction using one-dimensional generative neural network W. Mu A. Himmel B. Ramson 9 5 0 11 Sep 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 31 148 0 01 Sep 2021
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 21 60 0 21 Jun 2021
Realizing GANs via a Tunable Loss Function Gowtham R. Kurri Tyler Sypherd Lalitha Sankar GAN 14 15 0 09 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 481 0 08 Mar 2021
Learning to Generate 3D Shapes with Generative Cellular Automata Dongsu Zhang Changwoon Choi Jeonghwan Kim Y. Kim 23 24 0 06 Mar 2021
A Brief Introduction to Generative Models Alex Lamb GAN VLM 22 16 0 27 Feb 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation Junyi Li Tianyi Tang Gaole He Jinhao Jiang Xiaoxuan Hu Puzhao Xie Zhipeng Chen Zhuohao Yu Wayne Xin Zhao Ji-Rong Wen 37 25 0 06 Jan 2021
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training Athirai Aravazhi Irissappane Hanfei Yu Yankun Shen Anubha Agrawal Gray Stanton 19 9 0 24 Dec 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Melody-Conditioned Lyrics Generation with SeqGANs Yihao Chen Alexander Lerch GAN MGen 32 29 0 28 Oct 2020
Rescuing neural spike train models from bad MLE Diego M. Arribas Yuan Zhao Il Memming Park 32 8 0 23 Oct 2020
Improving Text Generation with Student-Forcing Optimal Transport Guoyin Wang Chunyuan Li Jianqiao Li Hao Fu Yuh-Chen Lin ... Ruiyi Zhang Wenlin Wang Dinghan Shen Qian Yang Lawrence Carin OT 30 17 0 12 Oct 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 161 155 0 23 Jul 2020
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings Patrik Jonell Taras Kucherenko G. Henter Jonas Beskow CVBM 17 61 0 11 Jun 2020
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis Godwin Badu-Marfo Bilal Farooq Zachary Patterson 39 31 0 15 Apr 2020
Delving Deeper into the Decoder for Video Captioning Haoran Chen Jianmin Li Xiaolin Hu 43 34 0 16 Jan 2020
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling Ruizhe Zhao Brian K. Vogel Tanvir Ahmed Wayne Luk 22 37 0 14 Nov 2019
Teacher-Student Training for Robust Tacotron-based TTS Rui Liu Berrak Sisman Jingdong Li F. Bao Guanglai Gao Haizhou Li 19 38 0 07 Nov 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling Haoran Chen Ke Lin A. Maye Jianmin Li Xiaoling Hu 25 47 0 31 Aug 2019
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence Yaoming Zhu Juncheng Wan Zhiming Zhou Liheng Chen Lin Qiu Weinan Zhang Xin Jiang Yong Yu 22 27 0 25 May 2019
From GAN to WGAN Lilian Weng GAN 14 109 0 18 Apr 2019
Jointly Measuring Diversity and Quality in Text Generation Models Ehsan Montahaei Danial Alihosseini M. Baghshah 27 76 0 08 Apr 2019
Counterpoint by Convolution Cheng-Zhi Anna Huang Tim Cooijmans Adam Roberts Aaron Courville Douglas Eck BDL 27 149 0 18 Mar 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation Cristina Garbacea Samuel Carton Shiyan Yan Qiaozhu Mei ELM 25 29 0 02 Jan 2019
On the Implicit Assumptions of GANs Ke Li Jitendra Malik GAN 9 17 0 29 Nov 2018
Beyond Local Nash Equilibria for Adversarial Networks F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol R. Groß GAN 26 43 0 18 Jun 2018
Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi Olivier Bachem Mario Lucic Olivier Bousquet Sylvain Gelly EGVM 34 565 0 31 May 2018
CoT: Cooperative Training for Generative Modeling of Discrete Data Sidi Lu Lantao Yu Siyuan Feng Yaoming Zhu Weinan Zhang Yong Yu GAN 33 19 0 11 Apr 2018
Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present Xinpeng Chen Lin Ma Wenhao Jiang Jian Yao Wei Liu 17 92 0 30 Mar 2018
Texygen: A Benchmarking Platform for Text Generation Models Yaoming Zhu Sidi Lu Lei Zheng Jiaxian Guo Weinan Zhang Jun Wang Yong Yu 44 665 0 06 Feb 2018
GANGs: Generative Adversarial Network Games F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol E. Jong R. Groß GAN 17 28 0 02 Dec 2017
Multi-Generator Generative Adversarial Nets Q. Hoang T. Nguyen Trung Le Dinh Q. Phung GAN 25 65 0 08 Aug 2017
Adversarial Ranking for Language Generation Kevin Qinghong Lin Dianqi Li Xiaodong He Zhengyou Zhang Ming-Ting Sun GAN 26 331 0 31 May 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 57 4,809 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 27 2,096 0 17 Jan 2017
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 32 253 0 14 Nov 2016