公开(公告)号：US20210398004A1

公开(公告)日：2021-12-23

申请号：US17353136

申请日：2021-06-21

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Woo KIM ,  Gyeong Moon PARK ,  Jeon Gue PARK ,  Hwa Jeon SONG ,  Byung Hyun YOO ,  Eui Sok CHUNG ,  Ran HAN

IPC: G06N7/00 ,  G06N3/04 ,  G06N3/08

Abstract: Provided are a method and apparatus for online Bayesian few-shot learning. The present invention provides a method and apparatus for online Bayesian few-shot learning in which multi-domain-based online learning and few-shot learning are integrated when domains of tasks having data are sequentially given.

公开(公告)号：US20220215204A1

公开(公告)日：2022-07-07

申请号：US17570226

申请日：2022-01-06

Applicant: Electronics and Telecommunications Research Institute

Inventor： Ningombam Devarani Devi ,  Sungwon YI ,  Hyun Woo KIM ,  Hwa Jeon SONG ,  Byung Hyun YOO

IPC: G06K9/62

Abstract: Provided is a method for exploration based on curiosity and prioritization of experience data in multi-agent reinforcement learning, the method including the steps of: calculating a similarity between a policy of a first agent and a policy of a second agent and computing a final reward using the similarity; and performing clustering on a replay buffer using a result of calculating the similarity between the policy of the first agent and the policy of the second agent and performing sampling on data in the cluster.

公开(公告)号：US20220180071A1

公开(公告)日：2022-06-09

申请号：US17540768

申请日：2021-12-02

Applicant: Electronics and Telecommunications Research Institute

Inventor： Eui Sok CHUNG ,  Hyun Woo KIM ,  Gyeong Moon PARK ,  Jeon Gue PARK ,  Hwa Jeon SONG ,  Byung Hyun YOO ,  Ran HAN

IPC: G06F40/40 ,  G06F40/284 ,  G06F40/216

Abstract: Provided are a system and method for adaptive masking and non-directional language understanding and generation. The system for adaptive masking and non-directional language understanding and generation according to the present invention includes an encoder unit including an adaptive masking block for performing masking on training data, a language generator for restoring masked words, and an encoder for detecting whether or not the restored sentence construction words are original, and a decoder unit including a generation word position detector for detecting a position of a word to be generated next, a language generator for determining a word suitable for the corresponding position, and a non-directional training data generator for decoder training.

公开(公告)号：US20240160859A1

公开(公告)日：2024-05-16

申请号：US18507953

申请日：2023-11-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Eui Sok CHUNG ,  Hyun Woo KIM ,  Jeon Gue PARK ,  Hwa Jeon SONG ,  Jeong Min YANG ,  Byung Hyun YOO ,  Ran HAN

IPC: G06F40/40

CPC classification number: G06F40/40

Abstract: The present invention relates to a multi-modality system for recommending multiple items using an interaction and a method of operating the same. The multi-modality system includes an interaction data preprocessing module that preprocesses an interaction data set and converts the preprocessed interaction data set into interaction training data; an item data preprocessing module that preprocesses item information data and converts the preprocessed item information data into item training data; and a learning module that includes a neural network model that is trained using the interaction training data and the item training data and outputs a result including a set of recommended items using a conversation context with a user as input.

公开(公告)号：US20210374545A1

公开(公告)日：2021-12-02

申请号：US17332464

申请日：2021-05-27

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Woo KIM ,  Jeon Gue PARK ,  Hwa Jeon SONG ,  Yoo Rhee OH ,  Byung Hyun YOO ,  Eui Sok CHUNG ,  Ran HAN

IPC: G06N3/08 ,  G06N3/04 ,  G06F40/35 ,  G06N5/02 ,  G06N5/04

Abstract: A knowledge increasing method includes calculating uncertainty of knowledge obtained from a neural network using an explicit memory, determining the insufficiency of the knowledge on the basis of the calculated uncertainty, obtaining additional data (learning data) for increasing insufficient knowledge, and training the neural network by using the additional data to autonomously increase knowledge.

公开(公告)号：US20210089904A1

公开(公告)日：2021-03-25

申请号：US17024062

申请日：2020-09-17

Applicant: Electronics and Telecommunications Research Institute

Inventor： Eui Sok CHUNG ,  Hyun Woo KIM ,  Hwa Jeon SONG ,  Yoo Rhee OH ,  Byung Hyun YOO ,  Ran HAN

IPC: G06N3/08 ,  G06N3/04 ,  G06F17/18

Abstract: The present invention provides a new learning method where regularization of a conventional model is reinforced by using an adversarial learning method. Also, a conventional method has a problem of word embedding having only a single meaning, but the present invention solves a problem of the related art by applying a self-attention model.