Minju Jung - RankMe

20 papers A* 1A 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Prior knowledge of layer-specific pruning numbers guarantees effective random pruning at initialization. Pattern Anal. Appl. Minju Jung, Sunghyun Baek, Yunho Jeon, Junmo Kim
2021	J	`jnl`	Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. Neural Comput. Jeffrey Frederic Queißer, Minju Jung, Takazumi Matsumoto, Jun Tani
2021	J	`jnl`	KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. CoRR Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
2020	J	`jnl`	Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre
2019	J	`jnl`	Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory. CoRR Minju Jung, Takazumi Matsumoto, Jun Tani
2019	A	`conf`	Goal-Directed Behavior under Variational Predictive Coding: Dynamic organization of Visual Attention and Working Memory. IROS Minju Jung, Takazumi Matsumoto, Jun Tani
2018	J	`jnl`	Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition. Neural Networks Minju Jung, Haanvid Lee, Jun Tani
2018	J	`jnl`	Generating goal-directed visuomotor plans based on learning using a predictive coding type deep visuomotor recurrent neural network model. CoRR Minkyu Choi, Takazumi Matsumoto, Minju Jung, Jun Tani
2018	A*	`conf`	Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2018	J	`jnl`	Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks. IEEE Trans. Cogn. Dev. Syst. Haanvid Lee, Minju Jung, Jun Tani
2017	J	`jnl`	Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition. CoRR Minju Jung, Haanvid Lee, Jun Tani
2017	J	`jnl`	Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2017	—	`conf`	Selective Filter Transfer. RiTA Minju Jung, Junmo Kim
2016	—	`conf`	A deep learning approach for seamless integration of cognitive skills for humanoid robots. ICDL-EPIROB Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani
2016	J	`jnl`	Characteristics of Visual Categorization of Long-Concatenated and Object-Directed Human Actions by a Multiple Spatio-Temporal Scales Recurrent Neural Network Model. CoRR Haanvid Lee, Minju Jung, Jun Tani
2016	J	`jnl`	Less-forgetting Learning in Deep Neural Networks. CoRR Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2015	—	`conf`	Achieving "synergy" in cognitive behavior of humanoids via deep learning of dynamic visuo-motor-attentional coordination. Humanoids Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
2015	J	`jnl`	Achieving Synergy in Cognitive Behavior of Humanoids via Deep Learning of Dynamic Visuo-Motor-Attentional Coordination. CoRR Jungsik Hwang, Minju Jung, Naveen Madapana, Jinhyung Kim, Minkyu Choi, Jun Tani
2015	—	`conf`	Making a More Reliable Classifier via Random Crop Pooling. RiTA Yeakang Lee, Jiwhan Kim, Minju Jung, Junmo Kim
2014	—	`conf`	Multiple spatio-temporal scales neural network for contextual visual recognition of human actions. ICDL-EPIROB Minju Jung, Jungsik Hwang, Jun Tani