626 citations · 974 across the 18 of their papers we have counts for
9 papers · 1 filter
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan Irsoy, Steven Lu +6
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Larg…
PathFinder: Discovering Decision Pathways in Deep Neural Networks
Ozan İrsoy, Ethem Alpaydın
Explainability is becoming an increasingly important topic for deep neural networks. Though the operation in convolutional layers is easier to understand, processing becomes opaque…
On Expected Accuracy
Ozan İrsoy
We empirically investigate the (negative) expected accuracy as an alternative loss function to cross entropy (negative log likelihood) for classification tasks. Coupled with softma…
Dropout Regularization in Hierarchical Mixture of Experts
Ozan İrsoy, Ethem Alpaydın
Dropout is a very effective method in preventing overfitting and has become the go-to regularizer for multi-layer neural networks in recent years. Hierarchical mixture of experts i…
Continuously Constructive Deep Neural Networks
Ozan İrsoy, Ethem Alpaydın
Traditionally, deep learning algorithms update the network weights whereas the network architecture is chosen manually, using a process of trial and error. In this work, we propose…
Distributed Decision Trees
Ozan İrsoy, Ethem Alpaydın
Recently proposed budding tree is a decision tree algorithm in which every node is part internal node and part leaf. This allows representing every decision tree in a continuous pa…
Modeling Compositionality with Multiplicative Recurrent Neural Networks
Ozan İrsoy, Claire Cardie
We present the multiplicative recurrent neural network as a general model for compositional meaning in language, and evaluate it on the task of fine-grained sentiment analysis. We…
Autoencoder Trees
Ozan İrsoy, Ethem Alpaydın
We discuss an autoencoder model in which the encoding and decoding functions are implemented by decision trees. We use the soft decision tree where internal nodes realize soft mult…
Bidirectional Recursive Neural Networks for Token-Level Labeling with Structure
Ozan İrsoy, Claire Cardie
Recently, deep architectures, such as recurrent and recursive neural networks have been successfully applied to various natural language processing tasks. Inspired by bidirectional…