no code implementations • 11 Jun 2024 • Artyom Gadetsky, Yulun Jiang, Maria Brbic
In particular, TURTLE matches the average performance of CLIP zero-shot on 26 datasets by employing the same representation space, spanning a wide range of architectures and model sizes.
1 code implementation • International Conference on Machine Learning 2024 • Artyom Gadetsky, Yulun Jiang, Maria Brbic
In particular, TURTLE matches the average performance of CLIP zero-shot on 26 datasets by employing the same representation space, spanning a wide range of architectures and model sizes.
Ranked #1 on Image Clustering on DTD
1 code implementation • NeurIPS 2021 • Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry Vetrov
Structured latent variables allow incorporating meaningful prior knowledge into deep learning models.
1 code implementation • 22 Nov 2019 • Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry Vetrov
Learning models with discrete latent variables using stochastic gradient descent remains a challenge due to the high variance of gradient estimates.
1 code implementation • ACL 2018 • Artyom Gadetsky, Ilya Yakubovskiy, Dmitry Vetrov
We explore recently introduced definition modeling technique that provided the tool for evaluation of different distributed vector representations of words through modeling dictionary definitions of words.