18 citations · 18 across the 3 of their papers we have counts for
5 papers
Optimal channel selection with discrete QCQP
Yeonwoo Jeong, Deokjae Lee, Gaon An +2
Reducing the high computational cost of large convolutional neural networks is crucial when deploying the networks to resource-constrained environments. We first show the greedy ap…
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong, Hyun Oh Song
We address the problem of unsupervised disentanglement of discrete and continuous explanatory factors of data. We first show a simple procedure for minimizing the total correlation…
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
We develop hierarchically quantized efficient embedding representations for similarity-based search and show that this representation provides not only the state of the art perform…
EMI: Exploration with Mutual Information
Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong +2
Reinforcement learning algorithms struggle when the reward signal is very sparse. In these cases, naive random exploration methods essentially rely on a random walk to stumble onto…
Efficient end-to-end learning for quantizable representations
Yeonwoo Jeong, Hyun Oh Song
Embedding representation learning via neural networks is at the core foundation of modern similarity based search. While much effort has been put in developing algorithms for learn…