Sungjin Ahn
- Hierarchical Multiscale Recurrent Neural Networks
2016/09/06 by Jun‐Young Chung, Sungjin Ahn, Chung, Junyoung +3 · 28 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Generating Factoid Questions With Recurrent Neural Networks: The 30M\n Factoid Question-Answer Corpus
2016/03/22 by Iulian Vlad Serban, Serban, Iulian Vlad, Alberto García-Durán +12 · 1 voice · 1 citation
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG #cs.NE
- TransDreamer: Reinforcement Learning with Transformer World Models
2022/02/19 by Chang Chen, Chen, Chang, Yifu Wu +5 · 21 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- Bayesian Model-Agnostic Meta-Learning
2018/06/11 by Taesup Kim, Jaesik Yoon, Kim, Taesup +9 · 15 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Object-Centric Slot Diffusion
2023/03/20 by Jindong Jiang, Jiang, Jindong, Feiqi Deng +5 · 12 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- Generative Recursive Reasoning
2026/05/19 by Junyeob Baek, Mingyu Jo, Minsu Kim +3 · 4 voices · 1 citation
#cs.AI
- DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
2021/10/27 by Fei Deng, Deng, Fei, Ingook Jang +3 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- SCALOR: Generative World Models with Scalable Object Representations
2019/10/06 by Jindong Jiang, Jiang, Jindong, Sepehr Janghorbani +5 · 8 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
2020/01/08 by Zhixuan Lin, Lin, Zhixuan, Yifu Wu +13 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
- Facing Off World Model Backbones: RNNs, Transformers, and S4
2023/07/05 by Fei Deng, Deng, Fei, Junyeong Park +3 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
2023/02/09 by Jaesik Yoon, Yoon, Jaesik, Yifu Wu +5 · 5 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics
- Neural Systematic Binder
2022/11/02 by Gautam Singh, Singh, Gautam, Yeongbin Kim +3 · 4 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Advanced Image and Video Retrieval Techniques
- Improving Generative Imagination in Object-Centric World Models
2020/10/05 by Zhixuan Lin, Lin, Zhixuan, Yifu Wu +9 · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Denoising Criterion for Variational Auto-Encoding Framework
2015/11/19 by Daniel Im Jiwoong Im, Sungjin Ahn, Im, Daniel Jiwoong +5 · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Sequential Neural Processes
2019/06/24 by Gautam B. Singh, Jaesik Yoon, Singh, Gautam +5 · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Time Series Analysis and Forecasting
- Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
2012/06/27 by Sungjin Ahn, Anoop Korattikara, Ahn, Sungjin +3 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- ROOTS: Object-Centric Representation and Rendering of 3D Scenes
2020/06/11 by Chang Chen, Chen, Chang, Feiqi Deng +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics and Sensor-Based Localization