Tobias Scheffer
18 papers · 2002–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🗺️ Taxonomy Completionist (46) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(7)
🧭
Keyword Pioneer
🏆
Keyword Champion
(3)
📈
Trend Setter
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
🗃️
Keyword Collector
(99)
Top co-authors
Research topics
Machine Learning
(15)
Learning Types
(10)
Artificial Intelligence
(8)
Optimization & Theory
(8)
Application Areas
(6)
Core Methods
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Computer Science
(3)
Natural Language Processing
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Core AI
(3)
Learning Paradigms
(3)
Data Science & Analytics
(2)
Keywords
spam filtering
(3)
adversarial learning
(2)
sampling distribution
(2)
nash equilibrium
(2)
transfer learning
(2)
game theory
(2)
text classification
(2)
pre-trained language model
(2)
active learning
(2)
domain adaptation
(2)
online learning
(1)
convex optimization
(1)
bayesian inference
(1)
cognitive modeling
(1)
risk management
(1)
representation learning
(1)
label propagation
(1)
biased sampling
(1)
bayesian learning
(1)
decision making
(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
NeurIPS 2012
Static Prediction Games for Adversarial Learning Problems
JMLR 2012
Active Estimation of F-Measures
NeurIPS 2010
Throttling Poisson Processes
NeurIPS 2010
Discriminative Learning Under Covariate Shift
JMLR 2009
Localizing Bugs in Program Executions with Graphical Models
NeurIPS 2009
Nash Equilibria of Static Prediction Games
NeurIPS 2009
Transfer Learning by Distribution Matching for Targeted Advertising
NeurIPS 2008
Dirichlet-Enhanced Spam Filtering based on Biased Samples
NeurIPS 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