activity
20182021
most citedBERT as a Teacher: Contextual Embeddings for Sequence-Level Reward

7 citations · 11 across the 4 of their papers we have counts for

collaborators

7 papers

cs.NI2021

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms

Ana Juan Ferrer, Soeren Becker, Florian Schmidt +2

In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collabor…

cs.LG2021

Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series

Kevin Styp-Rekowski, Florian Schmidt, Odej Kao

Forecasting of time series in continuous systems becomes an increasingly relevant task due to recent developments in IoT and 5G. The popular forecasting model ARIMA is applied to a…

cs.CY20204 cited

Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper

Anko Börner, Heinz-Wilhelm Hübers, Odej Kao +15

Information and communication technologies have accompanied our everyday life for years. A steadily increasing number of computers, cameras, mobile devices, etc. generate more and…

cs.LG20207 cited

BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward

Florian Schmidt, Thomas Hofmann

Measuring the quality of a generated sequence against a set of references is a central problem in many learning frameworks, be it to compute a score, to assign a reward, or to perf…

cs.LG2019

Generalization in Generation: A closer look at Exposure Bias

Florian Schmidt

Exposure bias refers to the train-test discrepancy that seemingly arises when an autoregressive generative model uses only ground-truth contexts at training time but generated ones…

cs.LG2019

Autoregressive Text Generation Beyond Feedback Loops

Florian Schmidt, Stephan Mandt, Thomas Hofmann

Autoregressive state transitions, where predictions are conditioned on past predictions, are the predominant choice for both deterministic and stochastic sequential models. However…