research
∙
04/11/2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...
share
research
∙
02/03/2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
Modern machine learning techniques have been extensively applied to mate...
research
∙
12/02/2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Multi-label classification (MLC) is a prediction task where each sample ...
research
∙
11/17/2021
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Climate change is posing new challenges to crop-related concerns includi...
research
∙
11/15/2021
Joint Unsupervised and Supervised Training for Multilingual ASR
Self-supervised training has shown promising gains in pretraining models...
research
∙
10/22/2021
Contrastively Disentangled Sequential Variational Autoencoder
Self-supervised disentangled representation learning is a critical task ...
research
∙
03/09/2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
Understanding how environmental characteristics affect bio-diversity pat...
research
∙
10/30/2020
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
A key problem in computational sustainability is to understand the distr...
research
∙
10/07/2020
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
We propose Deep Autoencoding Predictive Components (DAPC) – a self-super...
research
∙
07/12/2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Multi-label classification is the challenging task of predicting the pre...
research
∙
04/26/2019
SWALP : Stochastic Weight Averaging in Low-Precision Training
Low precision operations can provide scalability, memory savings, portab...
research
∙
05/07/2018
Imitation Refinement
Many real-world tasks involve identifying patterns from data satisfying ...
research
∙
10/03/2016
