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Multitask Learning (1997)

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by Rich Caruana
Citations:675 - 5 self
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Citations

4373 Induction of Decision Trees - Quinlan - 1986
3647 Bagging Predictors - Breiman - 1996
2763 Statistical Analysis with Missing Data - Little, Rubin - 1987
1215 Learning representations by backpropagating errors - Rumelhart, Hinton, et al. - 1986
1059 C4.5: Programs for - Quinlan - 1993
868 The strength of weak learnability - Schapire - 1990
721 Solving multiclass learning problems via errorcorrecting output codes - Dietterich, Bakiri - 1995
674 Causation, Prediction, and Search - Spirtes, Glymour, et al. - 1993
515 Boosting a weak learning algorithm by majority - Freund - 1990
478 Toward Optimal Feature Selection - Koller, Sahami - 1996
473 Backpropagation applied to handwritten zip code recognition - LeCun, Boser - 1989
426 Learning Representations by Back-propagating Errors,” Nature - Rumelhart, Hinton, et al. - 1986
372 What size net gives valid generalization - Baum, Haussler - 1989
278 Neural Network Perception for Mobile Robot Guidance - Pomerleau - 1992
246 Experience with a Learning Personal Assistant - Mitchell, Caruana, et al. - 1994
230 Supervised learning from incomplete data via the em approach - GHAHRAMANI, JORDAN - 1994
229 The Need for Biases in Learning Generalizations - Mitchell - 1980
222 Learning Distributed Representations of Concepts - Hinton - 1986
175 Is Learning the N-th Thing Any Easier Than Learning the First - Thrun - 1996
174 NETtalk: A Parallel Network that Learns to Read Aloud - Sejnowski, Rosenberg - 1986
154 A Probibilistic Approach to Feature Selection—A Filter Solution - Liu, Setiono - 1996
149 A self-organizing neural network that discovers surfaces in random-dot stereograms. Nature - Becker, Hinton - 1992
123 A Personal Learning Apprentice - Dent, Boticario, et al. - 1992
119 Predicting Multivariate Responses in Multiple Linear Regression,” ftp://ftp.stat.berkeley.edu/pub/users/breiman/curds-whey-all.ps.Z - Breiman, Friedman - 1995
118 Explanation-Based Neural Network Learning: A Lifelong Learning Approach - Thrun - 1996
112 Hierarchical Mixtures of Experts and - Jordan, Jacobs - 1994
109 Discovering Structure in Multiple Learning Tasks: The TC Algorithm - O’Sullivan, Thrun - 1996
101 Learning from Hints in Neural Networks - Abu-Mostafa - 1990
98 Multitask Learning: A Knowledge-Based Source of Inductive Bias - Caruana - 1993
96 Learning Internal Representations - Baxter - 1995
92 Adapting Bias by Gradient Descent: An Incremental Version of Delta-BarDelta - Sutton - 1992
83 Using sampling and queries to extract rules from trained neural networks - Craven, Shavlik - 1994
80 NewsWeeder: Learning to Filter News - Lang - 1995
65 Learning Many Related Tasks at the Same Time with Backpropagation - Caruana - 1995
65 Learning one more thing - Thrun, Mitchell - 1995
56 Using Additive Noise in Back-propagation Training - Holmstrom, Koistinen - 1992
54 Using the future to ”sort out” the present: Rankprop and multitask learning for medical risk prediction - Caruana, Baluja, et al. - 1995
52 Direct Transfer of Learned Information Among Neural Networks - Pratt, Mostow, et al. - 1991
51 A Comparative Study of ID3 and Backpropagation for English Text-to-speech - Dietterich, Hild, et al. - 1990
47 Training Neural Networks with Deficient Data - Tresp, Ahmad, et al. - 1994
45 A Comparison of ID3 and Backpropagation for English Text-to-speech Mapping - Dietterich, Hild, et al. - 1995
38 A Bayesian Method for the Induction - Cooper, Herskovits - 1992
35 Modularity and Scaling in Large Phonemic Neural Networks - Waibel, Sawai, et al. - 1989
34 Learning Classification with Unlabelled Data - Sa - 1994
27 Symbolic-neural Systems and the Use of Hints for Developing Complex Systems - Suddarth, Holden - 1991
25 Hints and the VC Dimension - Abu-Mostafa - 1993
25 Rule-injection Hints as a Means of Improving Network Performance and Learning Time - Suddarth, Kergosien - 1990
23 Lifelong Learning: A Case Study - Thrun - 1995
22 Tangent Prop—A Formalism for Specifying Selected - Simard, Victorri, et al. - 1992
21 Acquiring and Combining Overlapping Concepts - Martin, Billman - 1994
20 Conceptual Clustering, Learning from Examples, and Inference - Fisher - 1987
19 Learning a Preference Predicate - P, Saxena - 1987
17 Connectionist Learning - Caruana - 1994
15 A Bayesian/Information Theoretic Model of Bias Learning - Baxter - 1996
15 Family Discovery - Omohundro - 1996
14 Mixture Models for Learning from Incomplete Data - Ghahramani, Jordan - 1997
13 An Evaluation of Machine Learning Methods for Predicting Pneumonia Mortality," Arti cial Intelligence inMedicine 9 - Cooper, Aliferis, et al. - 1997
13 Adaptive Generalisation and the Transfer of Knowledge,” University of Exeter: R257 - Sharkey, Sharkey - 1992
12 Non-literal Transfer Among Neural Network Learners,” Colorado School of Mines - Pratt - 1992
11 Expectation-Based Selective Attention - Baluja - 1996
10 Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs - Caruana, Sa - 1997
10 Multi-Task Learning for Stock Selection - Ghosn, Bengio - 1997
10 Competition Among Networks Improves Committee Performance,” to appear - Munro, Parmanto - 1997
9 Using the Representation in a Neural Network’s Hidden Layer for TaskSpecific Focus of Attention - Baluja, Pomerleau - 1995
9 Learning Footfall Evaluation for a Walking Robot - Hsu, Simmons - 1991
8 Sensor Fusion for Autonomous Outdoor Navigation Using Neural Networks - Davis, Stentz - 1995
6 Goal-directed Clustering - Martin - 1994
6 Training Neural Networks with De cient Data - Tresp, Ahmad, et al. - 1994
4 Validation of a Pneumonia Prognostic Index Using the MedisGroups Comparative Hospital Database - Fine, Singer, et al. - 1993
4 A Powerful Heuristic for the Discovery of Complex Patterned Behavior - Valdes-Perez, Simon - 1994
3 Monotonicity Hints,” to appear - Sill, Abu-Mostafa - 1997
3 Direct Transfer - Pratt, Mostow, et al. - 1991
2 NETtalk: AParallel Network that Learns to Read Aloud - Sejnowski, Rosenberg - 1986
2 The Need for Biases - Mitchell - 1980
1 Learning Classi cation with Unlabelled Data - Sa - 1994
1 A Probibilistic ApproachtoFeature Selection|A Filter Solution - Liu, Setiono - 1996
1 Recognizing Hand-Printed - Martin, Pittman - 1991
1 Adaptive Generalisation and the Transfer of Knowl- 10. BIBLIOGRAPHY 237 edge - Sharkey, Sharkey - 1992
1 Multi-Task Learning for Stock Selection,” to appear - Ghosn, Bengio - 1997
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