Summary of Adaptable Embeddings Network (aen), by Stan Loosmore et al.
Adaptable Embeddings Network (AEN)by Stan Loosmore, Alexander TitusFirst submitted to arxiv on: 21 Nov 2024CategoriesMain:…
Summary of Towards a Framework on Tabular Synthetic Data Generation: a Minimalist Approach: Theory, Use Cases, and Limitations, by Yueyang Shen et al.
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and…
Summary of Onlyflow: Optical Flow Based Motion Conditioning For Video Diffusion Models, by Mathis Koroglu et al.
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Modelsby Mathis Koroglu, Hugo Caselles-Dupré, Guillaume…
Summary of Back to Supervision: Boosting Word Boundary Detection Through Frame Classification, by Simone Carnemolla et al.
Back to Supervision: Boosting Word Boundary Detection through Frame Classificationby Simone Carnemolla, Salvatore Calcagno, Simone…
Summary of Sag-vit: a Scale-aware, High-fidelity Patching Approach with Graph Attention For Vision Transformers, by Shravan Venkatraman et al.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformersby Shravan Venkatraman, Jaskaran…
Summary of Trace: Transformer-based Risk Assessment For Clinical Evaluation, by Dionysis Christopoulos et al.
TRACE: Transformer-based Risk Assessment for Clinical Evaluationby Dionysis Christopoulos, Sotiris Spanos, Valsamis Ntouskos, Konstantinos KarantzalosFirst…
Summary of Hashing For Protein Structure Similarity Search, by Jin Han et al.
Hashing for Protein Structure Similarity Searchby Jin Han, Wu-Jun LiFirst submitted to arxiv on: 13…
Summary of Dynamical-vae-based Hindsight to Learn the Causal Dynamics Of Factored-pomdps, by Chao Han et al.
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPsby Chao Han, Debabrota Basu, Michael Mangan,…
Summary of Imitation From Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-step Archive Exploration, by Xingrui Yu et al.
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Explorationby Xingrui Yu,…
Summary of Model Partition and Resource Allocation For Split Learning in Vehicular Edge Networks, by Lu Yu et al.
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networksby Lu Yu, Zheng…