research
∙
08/24/2023
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition
Graph Convolutional Networks (GCNs) have been widely used in skeleton-ba...
share
research
∙
08/19/2023
Poisson quadrature method of moments for 2D kinetic equations with velocity of constant magnitude
This work is concerned with kinetic equations with velocity of constant ...
research
∙
08/07/2023
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network
Nucleus image segmentation is a crucial step in the analysis, pathologic...
research
∙
08/05/2023
A Voting-Stacking Ensemble of Inception Networks for Cervical Cytology Classification
Cervical cancer is one of the most severe diseases threatening women's h...
research
∙
07/27/2023
Med-Flamingo: a Multimodal Medical Few-shot Learner
Medicine, by its nature, is a multifaceted domain that requires the synt...
research
∙
06/16/2023
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness
Language model training in distributed settings is limited by the commun...
research
∙
06/13/2023
Stability analysis of an extended quadrature method of moments for kinetic equations
This paper performs a stability analysis of a class of moment closure sy...
research
∙
05/24/2023
Lexinvariant Language Models
Token embeddings, a mapping from discrete lexical symbols to continuous ...
research
∙
05/21/2023
PRODIGY: Enabling In-context Learning Over Graphs
In-context learning is the ability of a pretrained model to adapt to nov...
research
∙
12/20/2022
Parsel: A Unified Natural Language Framework for Algorithmic Reasoning
Despite recent success in large language model (LLM) reasoning, LLMs sti...
research
∙
11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
research
∙
10/13/2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot knowledge graph (KG) completion task aims to perform inductive ...
research
∙
07/05/2022
Array Camera Image Fusion using Physics-Aware Transformers
We demonstrate a physics-aware transformer for feature-based data fusion...
research
∙
11/16/2021
SequentialPointNet: A strong parallelized point cloud sequence network for 3D action recognition
Point cloud sequences of 3D human actions exhibit unordered intra-frame ...
research
∙
06/30/2021
Edge Proposal Sets for Link Prediction
Graphs are a common model for complex relational data such as social net...
research
∙
01/19/2021
Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences
Human action recognition is an active research area in computer vision. ...
research
∙
11/17/2020
Equilibrium Stability Analysis of Hyperbolic Shallow Water Moment Equations
In this paper we analyze the stability of equilibrium manifolds of hyper...
research
∙
10/27/2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Graph Neural Networks (GNNs) are the predominant technique for learning ...
research
∙
03/09/2020
Set-Structured Latent Representations
Unstructured data often has latent component structure, such as the obje...
research
∙
01/13/2020
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
Organs-at-risk (OAR) delineation in computed tomography (CT) is an impor...
research
∙
07/23/2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Neural networks are vulnerable to adversarial examples, malicious inputs...
research
∙
11/20/2018
Intermediate Level Adversarial Attack for Enhanced Transferability
Neural networks are vulnerable to adversarial examples, malicious inputs...
research
∙
02/24/2018