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20182022
most citedTransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

282 citations · 377 across the 8 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cond-mat.str-el20208 cited

Evolution of Helimagnetic Correlations when approaching the Quantum Critical Point of MnFeSi

Catherine Pappas, Andrey O. Leonov, Lars J. Bannenberg +3

We present a comprehensive investigation of the evolution of helimagnetic correlations in MnFeSi with increasing doping. By combining polarised neutron scattering and h…

cs.CL202051 cited

Learning from others' mistakes: Avoiding dataset biases without modeling them

Victor Sanh, Thomas Wolf, Yonatan Belinkov +1

State-of-the-art natural language processing (NLP) models often learn to model dataset biases and surface form correlations instead of features that target the intended underlying…

cond-mat.supr-con202020 cited

Short-range nematic fluctuations in Sr1-xNaxFe2As2 superconductors

Shan Wu, Yu Song, Yu He +10

Interactions between nematic fluctuations, magnetic order and superconductivity are central to the physics of iron-based superconductors. Here we report on in-plane transverse acou…

cond-mat.str-el2020

Anisotropic optical properties of detwinned BaFeAs

Christopher C. Homes, Thomas Wolf, Christoph Meingast

The optical properties of a large, detwinned single crystal of BaFeAs have been examined over a wide frequency range above and below the structural and magnetic transition…

cs.CL2020

Movement Pruning: Adaptive Sparsity by Fine-Tuning

Victor Sanh, Thomas Wolf, Alexander M. Rush

Magnitude pruning is a widely used strategy for reducing model size in pure supervised learning; however, it is less effective in the transfer learning regime that has become stand…

cs.CL202011 cited

TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation

Shaojie Jiang, Thomas Wolf, Christof Monz +1

Natural Language Generation (NLG) models are prone to generating repetitive utterances. In this work, we study the repetition problem for encoder-decoder models, using both recurre…