29 citations · 79 across the 9 of their papers we have counts for
9 papers
Meta-Learned Invariant Risk Minimization
Jun-Hyun Bae, Inchul Choi, Minho Lee
Empirical Risk Minimization (ERM) based machine learning algorithms have suffered from weak generalization performance on data obtained from out-of-distribution (OOD). To address t…
Distributed Associative Memory Network with Memory Refreshing Loss
Taewon Park, Inchul Choi, Minho Lee
Despite recent progress in memory augmented neural network (MANN) research, associative memory networks with a single external memory still show limited performance on complex rela…
Emotional Video to Audio Transformation Using Deep Recurrent Neural Networks and a Neuro-Fuzzy System
Gwenaelle Cunha Sergio, Minho Lee
Generating music with emotion similar to that of an input video is a very relevant issue nowadays. Video content creators and automatic movie directors benefit from maintaining the…
Vocoder-free End-to-End Voice Conversion with Transformer Network
June-Woo Kim, Ho-Young Jung, Minho Lee
Mel-frequency filter bank (MFB) based approaches have the advantage of learning speech compared to raw spectrum since MFB has less feature size. However, speech generator with MFB…
Stacked DeBERT: All Attention in Incomplete Data for Text Classification
Gwenaelle Cunha Sergio, Minho Lee
In this paper, we propose Stacked DeBERT, short for Stacked Denoising Bidirectional Encoder Representations from Transformers. This novel model improves robustness in incomplete da…
Human Action Generation with Generative Adversarial Networks
Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee
Inspired by the recent advances in generative models, we introduce a human action generation model in order to generate a consecutive sequence of human motions to formulate novel a…
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
Minsoo Kim, Moirangthem Dennis Singh, Minho Lee
In this work, we introduce temporal hierarchies to the sequence to sequence (seq2seq) model to tackle the problem of abstractive summarization of scientific articles. The proposed…
Quasimodular forms, Jacobi-like forms, and pseudodifferential operators
YoungJu Choie, Minho Lee
We study various properties of quasimodular forms by using their connections with Jacobi-like forms and pseudodifferential operators. Such connections are made by identifying quasi…
Symmetric tensor representations,quasimodular forms, and weak Jacobi forms
YoungJu Choie, Minho Lee
We establish a correspondence between vector-valued modular forms with respect to a symmetric tensor representation and quasimodular forms. This is carried out by first obtaining a…