Search Results for author: Minjae Lee

Found 8 papers, 0 papers with code

Leveraging Skill-to-Skill Supervision for Knowledge Tracing

no code implementations12 Jun 2023 Hyeondey Kim, Jinwoo Nam, Minjae Lee, Yun Jegal, Kyungwoo Song

To do so, knowledge tracing systems should trace the knowledge state of the students by utilizing their problem-solving history and knowledge about the problems.

Knowledge Tracing

Encoder-decoder multimodal speaker change detection

no code implementations1 Jun 2023 Jee-weon Jung, Soonshin Seo, Hee-Soo Heo, Geonmin Kim, You Jin Kim, Young-ki Kwon, Minjae Lee, Bong-Jin Lee

The task of speaker change detection (SCD), which detects points where speakers change in an input, is essential for several applications.

Automatic Speech Recognition Change Detection +2

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving

no code implementations12 May 2023 Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi

3D object detection using point cloud (PC) data is essential for perception pipelines of autonomous driving, where efficient encoding is key to meeting stringent resource and latency requirements.

3D Object Detection Autonomous Driving +2

NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks

no code implementations8 Aug 2022 Doyub Kim, Minjae Lee, Ken Museth

We introduce NeuralVDB, which improves on an existing industry standard for efficient storage of sparse volumetric data, denoted VDB [Museth 2013], by leveraging recent advancements in machine learning.

Vocal Bursts Intensity Prediction

SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks

no code implementations NeurIPS 2017 Kyuhong Shim, Minjae Lee, Iksoo Choi, Yoonho Boo, Wonyong Sung

The approximate probability of each word can be estimated with only a small part of the weight matrix by using a few large singular values and the corresponding elements for most of the words.

Language Modelling Machine Translation +1

Online Keyword Spotting with a Character-Level Recurrent Neural Network

no code implementations30 Dec 2015 Kyuyeon Hwang, Minjae Lee, Wonyong Sung

In this paper, we propose a context-aware keyword spotting model employing a character-level recurrent neural network (RNN) for spoken term detection in continuous speech.

General Classification Keyword Spotting

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