Search Results for author: Aya Abdelsalam Ismail

Found 6 papers, 3 papers with code

Interpretable Mixture of Experts for Structured Data

no code implementations5 Jun 2022 Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister

We introduce a novel framework, Interpretable Mixture of Experts (IME), that provides interpretability for structured data while preserving accuracy.

Improving Deep Learning Interpretability by Saliency Guided Training

1 code implementation NeurIPS 2021 Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi

In this paper, we tackle this issue and introduce a {\it saliency guided training}procedure for neural networks to reduce noisy gradients used in predictions while retaining the predictive performance of the model.

Time Series

Improving Multimodal Accuracy Through Modality Pre-training and Attention

no code implementations11 Nov 2020 Aya Abdelsalam Ismail, Mahmudul Hasan, Faisal Ishtiaq

Training a multimodal network is challenging and it requires complex architectures to achieve reasonable performance.

Emotion Recognition Sentiment Analysis

Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks

no code implementations18 Apr 2018 Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo

State-of-the-art forecasting methods using Recurrent Neural Net- works (RNN) based on Long-Short Term Memory (LSTM) cells have shown exceptional performance targeting short-horizon forecasts, e. g given a set of predictor features, forecast a target value for the next few time steps in the future.

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