From the 1 of 63 linked papers with an AI index.
180 citations · 844 across the 57 of their papers we have counts for
12 papers · 1 filter
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes
Jungtaek Kim, Seungjin Choi, Minsu Cho
Bayesian optimization is a popular method for solving the problem of global optimization of an expensive-to-evaluate black-box function. It relies on a probabilistic surrogate mode…
CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim, Minsu Cho
We present a novel discriminator for GANs that improves realness and diversity of generated samples by learning a structured hypersphere embedding space using spherical circles. Th…
Diversified Mutual Learning for Deep Metric Learning
Wonpyo Park, Wonjae Kim, Kihyun You +1
Mutual learning is an ensemble training strategy to improve generalization by transferring individual knowledge to each other while simultaneously training multiple models. In this…
Learning to Compose Hypercolumns for Visual Correspondence
Juhong Min, Jongmin Lee, Jean Ponce +1
Feature representation plays a crucial role in visual correspondence, and recent methods for image matching resort to deeply stacked convolutional layers. These models, however, ar…
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
Heeseung Kwon, Manjin Kim, Suha Kwak +1
Motion plays a crucial role in understanding videos and most state-of-the-art neural models for video classification incorporate motion information typically using optical flows ex…
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
In this paper, we study two important problems in the automated design of neural networks -- Hyper-parameter Optimization (HPO), and Neural Architecture Search (NAS) -- through the…