Search Results for author: Jeremy Wohlwend

Found 7 papers, 4 papers with code

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

1 code implementation ICLR 2022 Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi Jaakkola

In this paper, we propose a generative model to automatically design the CDRs of antibodies with enhanced binding specificity or neutralization capabilities.

Protein Design Specificity

Autoregressive Knowledge Distillation through Imitation Learning

2 code implementations EMNLP 2020 Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei

The performance of autoregressive models on natural language generation tasks has dramatically improved due to the adoption of deep, self-attentive architectures.

Imitation Learning Knowledge Distillation +3

ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition

no code implementations21 May 2020 Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu J. Han, Tao Lei, Tao Ma

In this paper we present state-of-the-art (SOTA) performance on the LibriSpeech corpus with two novel neural network architectures, a multistream CNN for acoustic modeling and a self-attentive simple recurrent unit (SRU) for language modeling.

Data Augmentation Language Modelling +2

Structured Pruning of Large Language Models

2 code implementations EMNLP 2020 Ziheng Wang, Jeremy Wohlwend, Tao Lei

Large language models have recently achieved state of the art performance across a wide variety of natural language tasks.

Language Modelling Model Compression +1

Cannot find the paper you are looking for? You can Submit a new open access paper.