Summary of Operational Latent Spaces, by Scott H. Hawley and Austin R. Tackett
Operational Latent Spacesby Scott H. Hawley, Austin R. TackettFirst submitted to arxiv on: 4 Jun…
Operational Latent Spacesby Scott H. Hawley, Austin R. TackettFirst submitted to arxiv on: 4 Jun…
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecastingby Zhanyu Liu, Jianrong Ding, Guanjie ZhengFirst submitted…
Using Self-supervised Learning Can Improve Model Fairnessby Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali,…
Learning to Edit Visual Programs with Self-Supervisionby R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel…
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encodersby Scott C. Lowe, Joakim…
CAP: A Context-Aware Neural Predictor for NASby Han Ji, Yuqi Feng, Yanan SunFirst submitted to…
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgeryby Yuning Zhou, Henry Badgery,…
An Unsupervised Approach for Periodic Source Detection in Time Seriesby Berken Utku Demirel, Christian HolzFirst…
Neural Gaussian Scale-Space Fieldsby Felix Mujkanovic, Ntumba Elie Nsampi, Christian Theobalt, Hans-Peter Seidel, Thomas LeimkühlerFirst…
Information Theoretic Text-to-Image Alignmentby Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro MichiardiFirst submitted…