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20142026
most citedAttention-Based Models for Speech Recognition

1.8k citations · 3.3k across the 25 of their papers we have counts for

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5 papers · 1 filter

cs.NE2026

BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

Björn Engdahl, Adrian Kosowski, Jan Chorowski +6

We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs presented at inference time continuously update the model's recurre…

cs.NE2025

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Adrian Kosowski, Przemysław Uznański, Jan Chorowski +2

The relationship between computing systems and the brain has served as motivation for pioneering theoreticians since John von Neumann and Alan Turing. Uniform, scale-free biologica…

cs.NE2017★ 376 cited

Regularizing Neural Networks by Penalizing Confident Output Distributions

Gabriel Pereyra, George Tucker, Jan Chorowski +2

We systematically explore regularizing neural networks by penalizing low entropy output distributions. We show that penalizing low entropy output distributions, which has been show…

cs.NE2016★ 58 cited

Towards better decoding and language model integration in sequence to sequence models

Jan Chorowski, Navdeep Jaitly

The recently proposed Sequence-to-Sequence (seq2seq) framework advocates replacing complex data processing pipelines, such as an entire automatic speech recognition system, with a…

cs.NE2014★ 413 cited

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results

Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho +1

We replace the Hidden Markov Model (HMM) which is traditionally used in in continuous speech recognition with a bi-directional recurrent neural network encoder coupled to a recurre…