Tobias Scheffer
18 papers · 2002–2024 · 6 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ Renaissance Researcher (5) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (20) ๐ฃ Hot Topic Early Bird
๐บ๏ธ
Taxonomy Completionist
(20)
๐
Conference Polyglot
(6)
๐งญ
Keyword Pioneer
๐
Keyword Trendsetter Combo
(7)
๐
Keyword Champion
๐ฑ
Topic Pioneer
๐๏ธ
Keyword Collector
(57)
๐
Century Club
(18)
๐
Trend Setter
๐
Conference Pioneer
Conferences
NIPS (7)
JMLR (4)
EMNLP (3)
ICML (2)
ACL (1)
IJCAI (1)
Top co-authors
Keywords
spam filtering
(3)
game theory
(2)
domain adaptation
(2)
transfer learning
(2)
text classification
(2)
adversarial learning
(2)
sampling distribution
(2)
pre-trained language model
(2)
nash equilibrium
(2)
active learning
(2)
binary classification
(1)
bayesian inference
(1)
cognitive modeling
(1)
online learning
(1)
representation learning
(1)
natural language understanding
(1)
convex optimization
(1)
model evaluation
(1)
label propagation
(1)
biased sampling
(1)
Papers
Fine-Tuning Pre-Trained Language Models with Gaze Supervision
ACL 2024
Predicting Dose-Response Curves with Deep Neural Networks
ICML 2024
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
EMNLP 2023
Learning to Identify Concise Regular Expressions that Describe Email Campaigns
JMLR 2015
A Model of Individual Differences in Gaze Control During Reading
EMNLP 2014
Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract)
IJCAI 2013
Bayesian Games for Adversarial Regression Problems
ICML 2013
Active Comparison of Prediction Models
NIPS 2012
Static Prediction Games for Adversarial Learning Problems
JMLR 2012
Active Estimation of F-Measures
NIPS 2010
Throttling Poisson Processes
NIPS 2010
Nash Equilibria of Static Prediction Games
NIPS 2009
Localizing Bugs in Program Executions with Graphical Models
NIPS 2009
Discriminative Learning Under Covariate Shift
JMLR 2009
Transfer Learning by Distribution Matching for Targeted Advertising
NIPS 2008
Dirichlet-Enhanced Spam Filtering based on Biased Samples
NIPS 2006
Predicting Sentences using N-Gram Language Models
EMNLP 2005
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
JMLR 2002