SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformersby Nanye Ma, Mark Goldstein,…
Fixed Point Diffusion Modelsby Xingjian Bai, Luke Melas-KyriaziFirst submitted to arxiv on: 16 Jan 2024CategoriesMain:…
MMToM-QA: Multimodal Theory of Mind Question Answeringby Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang,…
The Impact of Differential Feature Under-reporting on Algorithmic Fairnessby Nil-Jana Akpinar, Zachary C. Lipton, Alexandra…
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learningby Shangmin Guo, Yi Ren,…
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thriveby Yumeng Li, Margret Keuper, Dan Zhang, Anna KhorevaFirst…
Learning from Sparse Offline Datasets via Conservative Density Estimationby Zhepeng Cen, Zuxin Liu, Zitong Wang,…
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processesby David Ireland, Giovanni MontanaFirst submitted to…
Using i-vectors for subject-independent cross-session EEG transfer learningby Jonathan Lasko, Jeff Ma, Mike Nicoletti, Jonathan…
AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Mediaby Alessandro Gambetti,…