Summary of Transfer Learning with Generative Models For Object Detection on Limited Datasets, by Matteo Paiano et al.
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…
Wasserstein proximal operators describe score-based generative models and resolve memorizationby Benjamin J. Zhang, Siting Liu,…
Domain Bridge: Generative model-based domain forensic for black-box modelsby Jiyi Zhang, Han Fang, Ee-Chien ChangFirst…
FairWire: Fair Graph Generationby O. Deniz Kose, Yanning ShenFirst submitted to arxiv on: 6 Feb…
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Designby Samuel Garcin, James Doran, Shangmin…
MobilityGPT: Enhanced Human Mobility Modeling with a GPT modelby Ammar Haydari, Dongjie Chen, Zhengfeng Lai,…
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructionsby Yiyuan Zhang, Yuhao Kang, Zhixin Zhang,…
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semanticsby Shuai Li, Xiaoyu Jiang, Xiaoguang MaFirst…
Unifying Generation and Prediction on Graphs with Latent Graph Diffusionby Cai Zhou, Xiyuan Wang, Muhan…
An attempt to generate new bridge types from latent space of energy-based modelby Hongjun ZhangFirst…