Search Results for author: Talip Ucar

Found 8 papers, 4 papers with code

Improving Antibody Humanness Prediction using Patent Data

1 code implementation25 Jan 2024 Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni

We investigate the potential of patent data for improving the antibody humanness prediction using a multi-stage, multi-loss training process.

Contrastive Learning Drug Discovery

NESS: Node Embeddings from Static SubGraphs

1 code implementation15 Mar 2023 Talip Ucar

We present a framework for learning Node Embeddings from Static Subgraphs (NESS) using a graph autoencoder (GAE) in a transductive setting.

Contrastive Learning Graph Embedding +1

Parameter Averaging for Feature Ranking

no code implementations5 Aug 2022 Talip Ucar, Ehsan Hajiramezanali

We conduct extensive experiments on a variety of synthetic and real-world data, demonstrating that the XTab can be used to obtain the global feature importance that is not sensitive to sub-optimal model initialisation.

Decision Making Feature Importance +1

SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning

2 code implementations NeurIPS 2021 Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards

Self-supervised learning has been shown to be very effective in learning useful representations, and yet much of the success is achieved in data types such as images, audio, and text.

Collaborative Inference Contrastive Learning +2

Bayesian Relational Generative Model for Scalable Multi-modal Learning

no code implementations29 Sep 2021 Ehsan Hajiramezanali, Talip Ucar, Lindsay Edwards

First, they are not stochastic processes, leading to poor uncertainty estimations over their predictions.

Gaussian Processes

One-Shot Learning for Language Modelling

1 code implementation19 Jul 2020 Talip Ucar, Adrian Gonzalez-Martin, Matthew Lee, Adrian Daniel Szwarc

Humans can infer a great deal about the meaning of a word, using the syntax and semantics of surrounding words even if it is their first time reading or hearing it.

BIG-bench Machine Learning Language Modelling +1

Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images

no code implementations31 Oct 2019 Talip Ucar

Our approach is to use a generative model that produces 2-D images as projections of a latent 3D voxel grid, which we train either as a variational auto-encoder or using adversarial methods.

Bridging the ELBO and MMD

no code implementations29 Oct 2019 Talip Ucar

The $\mu$-VAE is less prone to posterior collapse, and can generate reconstructions and new samples in good quality.

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