research
∙
09/20/2023
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding
While most modern video understanding models operate on short-range clip...
share
research
∙
08/31/2023
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
We present Belebele, a multiple-choice machine reading comprehension (MR...
research
∙
07/23/2021
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Irregularly sampled time series commonly occur in several domains where ...
research
∙
01/25/2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Irregular sampling occurs in many time series modeling applications wher...
research
∙
11/30/2020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance
Irregularly sampled time series data arise naturally in many application...
research
∙
10/08/2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
We study the problem of generating adversarial examples in a black-box s...
research
∙
07/13/2020
Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
We focus on the problem of black-box adversarial attacks, where the aim ...
research
∙
03/24/2020
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
Intensive Care Unit Electronic Health Records (ICU EHRs) store multimoda...
research
∙
02/07/2020
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
In this paper, we consider the problem of assessing the adversarial robu...
research
∙
09/30/2019
Black-box Adversarial Attacks with Bayesian Optimization
We focus on the problem of black-box adversarial attacks, where the aim ...
research
∙
09/13/2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series
In this paper, we present a new deep learning architecture for addressin...
research
∙
12/03/2018
