Professor Forcing: A New Algorithm for Training Recurrent Networks

27 October 2016

Aaron Courville

Papers citing "Professor Forcing: A New Algorithm for Training Recurrent Networks"

50 / 309 papers shown

Title
Scaling Foundation Models for Radar Scene Understanding Pushkal Mishra Kshitiz Bansal Dinesh Bharadia 139 0 0 26 Nov 2025
TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models Haksoo Lim Jaehoon Lee Sewon Park Minjung Kim Noseong Park DiffM 138 3 0 26 Nov 2025
Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator Reza Mansouri Dustin J. Kempton Pete Riley R. Angryk AI4CE 304 0 0 25 Nov 2025
Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities Seyede Niloofar Hosseini Ali Mojibi Mahdi Mohseni Navid Arjmand Alireza Taheri 3DH 72 0 0 25 Nov 2025
Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation for Failure Detection Vaibhav Mavi Shubh Jaroria Weiqi Sun LRM 48 0 0 10 Nov 2025
Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning Farhad Rezazadeh Hatim Chergui Mérouane Debbah Houbing Song Dusit Niyato Lingjia Liu 96 1 0 04 Nov 2025
DiffGRM: Diffusion-based Generative Recommendation Model Zhao Liu Y. Zhu Y. Yang Guoping Tang Rui Huang Qiang Luo Xiao Lv Ruiming Tang Kun Gai G. Zhou DiffM 80 0 0 21 Oct 2025
Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network Vu Duc Anh Nguyen Ziyue Li 38 0 0 10 Oct 2025
OBSR: Open Benchmark for Spatial Representations Julia Moska Oleksii Furman Kacper Kozaczko Szymon Leszkiewicz Jakub Polczyk Piotr Gramacki Piotr Szymañski 123 0 0 07 Oct 2025
Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images Jeffrey Regier 3DPC 110 1 0 03 Oct 2025
A Greedy PDE Router for Blending Neural Operators and Classical Methods Sahana Rayan Yash Patel Ambuj Tewari 104 0 0 29 Sep 2025
TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation MohammadReza EskandariNasab S. M. Hamdi S. F. Boubrahimi DiffM AI4TS 92 0 0 23 Sep 2025
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation Mingchun Sun Rongqiang Zhao Hengrui Hu Songyu Ding Jie Liu DiffM 182 0 0 23 Sep 2025
Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs Aryan Gulati Brando Miranda Eric Chen Emily Xia Kai Fronsdal Bruno Dumont Elyas Obbad Sanmi Koyejo AIMat ReLM LRM 298 5 0 05 Aug 2025
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Anja Delić Matej Grcić Sinisa Segvic 117 2 0 23 Jun 2025
Anomaly Detection in Event-triggered Traffic Time Series via Similarity LearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025 Shaoyu Dou Kai Yang Yang Jiao Chengbo Qiu Kui Ren AI4TS 151 4 0 20 Jun 2025
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction Jang-Hyun Kim Jinuk Kim S. Kwon Jae W. Lee Sangdoo Yun Hyun Oh Song MQ VLM 263 8 0 29 May 2025
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo Ocheme Anthony Ekle Biswarup Das 130 1 0 24 Apr 2025
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving Tao Wang Cong Zhang Xingguang Qu Kun Li Wen Liu Chenyu Huang 288 14 0 15 Mar 2025
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis Kai Qiu Xianrui Li Jason Kuen Zeyang Zhang Xiaohao Xu Jiuxiang Gu Yinyi Luo Bhiksha Raj Zhe Lin Marios Savvides 447 5 0 11 Mar 2025
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model Mingxing Li Rui Wang Lei Sun Y. Bai Xiangxiang Chu 252 2 0 08 Mar 2025
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-TuningInternational Conference on Learning Representations (ICLR), 2025 Tianci Liu R. Li Yunzhe Qi Hui Liu Xianfeng Tang ... Qingyu Yin Monica Cheng Jun Huan Haoyu Wang Jing Gao KELM 229 9 0 01 Mar 2025
Predictive Modeling: BIM Command Recommendation Based on Large-scale Usage LogsAdvanced Engineering Informatics (AEI), 2025 Changyu Du Zihan Deng Stavros Nousias André Borrmann AI4CE 144 1 0 23 Feb 2025
Fast and Accurate Blind Flexible DockingInternational Conference on Learning Representations (ICLR), 2025 Zizhuo Zhang Lijun Wu Ran Bi Jiangchao Yao Tao Qin Bo Han 341 1 0 20 Feb 2025
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and GenerationInternational Conference on Learning Representations (ICLR), 2025 Xingchen Wan Han Zhou Ruoxi Sun Hootan Nakhost Ke Jiang Sercan Ö. Arık ReLM OffRL LRM 245 14 0 01 Feb 2025
Taming Teacher Forcing for Masked Autoregressive Video GenerationComputer Vision and Pattern Recognition (CVPR), 2025 Deyu Zhou Quan Sun Yuang Peng Kun Yan Runpei Dong ... Zheng Ge Nan Duan Xiangyu Zhang L. Ni H. Shum VGen 309 18 0 21 Jan 2025
DriveLM: Driving with Graph Visual Question AnsweringEuropean Conference on Computer Vision (ECCV), 2023 Chonghao Sima Katrin Renz Kashyap Chitta Lawrence Yunliang Chen Hanxue Zhang Chengen Xie Jens Beißwenger Ping Luo Andreas Geiger Hongyang Li 690 333 0 17 Jan 2025
ORID: Organ-Regional Information Driven Framework for Radiology Report GenerationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Tiancheng Gu Kaicheng Yang Xiang An Ziyong Feng Dongnan Liu Weidong Cai 315 5 0 20 Nov 2024
SeriesGAN: Time Series Generation via Adversarial and Autoregressive LearningBigData Congress [Services Society] (BSS), 2024 MohammadReza EskandariNasab S. M. Hamdi S. F. Boubrahimi GAN AI4TS 147 3 0 28 Oct 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time SeriesNeural Information Processing Systems (NeurIPS), 2024 Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot 256 28 0 25 Oct 2024
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 310 5 0 18 Oct 2024
End-to-end Planner Training for Language Modeling Nathan Cornille Florian Mai Jingyuan Sun Marie-Francine Moens 205 0 0 16 Oct 2024
Extra Global Attention Designation Using Keyword Detection in Sparse Transformer Architectures Evan Lucas Dylan Kangas Timothy C Havens 154 1 0 11 Oct 2024
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series GenerationInternational Conference on Machine Learning and Applications (ICMLA), 2024 MohammadReza EskandariNasab S. M. Hamdi S. F. Boubrahimi GAN AI4TS 109 5 0 21 Sep 2024
Inference acceleration for large language models using "stairs" assisted greedy generationInternational Conference on Information Technology (ICIT), 2024 Domas Grigaliunas M. Lukoševičius 102 0 0 29 Jul 2024
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems Rahul Ghosh Zac McEachran Arvind Renganathan Kelly Lindsay Somya Sharma M. Steinbach John L. Nieber Christopher J. Duffy Vipin Kumar AI4CE BDL 139 0 0 29 Jul 2024
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting Qi Sima Xinze Zhang Yukun Bao Siyue Yang Liang Shen AI4TS 162 1 0 14 Jun 2024
Defining error accumulation in ML atmospheric simulators R. Parthipan Mohit Anand Hannah M. Christensen J. S. Hosking Damon J. Wischik 96 2 0 23 May 2024
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding Wei Zeng Xian He Ye Wang 74 3 0 22 May 2024
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference Dongjie Yang Xiaodong Han Yan Gao Yao Hu Shilin Zhang Hai Zhao 175 107 0 21 May 2024
ACEGEN: Reinforcement learning of generative chemical agents for drug discovery Albert Bou Morgan Thomas Sebastian Dittert Carles Navarro Ramírez Maciej Majewski ... Mazen Ahmad Vincent Moens Woody Sherman Simone Sciabola Gianni De Fabritiis 310 22 0 07 May 2024
Efficient Sample-Specific Encoder Perturbations Yassir Fathullah Mark Gales 186 0 0 01 May 2024
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition Sergio Y. Hayashi N. Hirata 158 0 0 23 Apr 2024
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation Jingxuan Wei Linzhuang Sun Yichong Leng Xu Tan Bihui Yu Ruifeng Guo 157 9 0 23 Apr 2024
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images Janmesh Ukey Tushar Kataria Shireen Y. Elhabian MedIm 213 2 0 16 Mar 2024
The pitfalls of next-token predictionInternational Conference on Machine Learning (ICML), 2024 Gregor Bachmann Vaishnavh Nagarajan 381 128 0 11 Mar 2024
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks Dario Pasquini Martin Strohmeier Carmela Troncoso AAML 255 59 0 06 Mar 2024
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification Pei-Hung Chung Shuhan He Norawit Kijpaisalratana Abdel-badih el Ariss Byung-Jun Yoon 164 0 0 07 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 352 20 0 06 Feb 2024
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning Khyati Khandelwal Albert Thomas Giuseppe Paolo Maurizio Filippone Jun Yao NoLa 109 3 0 05 Feb 2024