Xiaoli Z. Fern

According to our database1, Xiaoli Z. Fern authored at least 98 papers between 2003 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification.
Signal Processing Systems, 2018

Weakly Supervised Dictionary Learning.
IEEE Trans. Signal Processing, 2018

Learning Scripts as Hidden Markov Models.
CoRR, 2018

Attentional Multi-Reading Sarcasm Detection.
CoRR, 2018

Event Detection with Neural Networks: A Rigorous Empirical Evaluation.
CoRR, 2018

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference.
CoRR, 2018

Joint Neural Entity Disambiguation with Output Space Search.
CoRR, 2018

Dependent Gated Reading for Cloze-Style Question Answering.
CoRR, 2018

Event Nugget Detection with Forward-Backward Recurrent Neural Networks.
CoRR, 2018

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference.
CoRR, 2018

Weakly-supervised Dictionary Learning.
CoRR, 2018

Weakly Supervised Learning of Multiple-Scale Dictionaries.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning with Latent Label Hierarchy from Incomplete Multi-Label Data.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Discriminative Clustering with Cardinality Constraints.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Event Detection with Neural Networks: A Rigorous Empirical Evaluation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Open Set Learning with Counterfactual Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Neural Entity Disambiguation with Output Space Search.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Dependent Gated Reading for Cloze-Style Question Answering.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Discriminative recurring signal detection and localization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online learning of time-frequency patterns.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Simultaneous segmentation and classification of bird song using CNN.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework.
TKDD, 2016

Budgeted Optimization with Constrained Experiments.
J. Artif. Intell. Res., 2016

Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data.
CoRR, 2016

Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation.
Proceedings of the 2016 Text Analysis Conference, 2016

Weakly-supervised analysis dictionary learning with cardinality constraints.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Label Embedding Approach for Transfer Learning.
Proceedings of the Joint International Conference on Biological Ontology and BioCreative, 2016

Semi-supervised learning in the presence of novel class instances.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Bayesian Optimization with Resource Constraints and Production.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Event Nugget Detection with Forward-Backward Recurrent Neural Networks.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Active Learning from Relative Comparisons.
IEEE Trans. Knowl. Data Eng., 2015

Context-aware MIML instance annotation: exploiting label correlations with classifier chains.
Knowl. Inf. Syst., 2015

Discriminative Clustering with Relative Constraints.
CoRR, 2015

Bayesian Active Clustering with Pairwise Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Dictionary extraction from a collection of spectrograms for bioacoustics monitoring.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Simultaneous instance annotation and clustering in multi-instance multi-label learning.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Multi-instance multi-label learning in the presence of novel class instances.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Supervised hierarchical segmentation for bird song recording.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Learning Greedy Policies for the Easy-First Framework.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Active Learning of Constraints for Semi-Supervised Clustering.
IEEE Trans. Knowl. Data Eng., 2014

Constrained instance clustering in multi-instance multi-label learning.
Pattern Recognition Letters, 2014

Active Metric Learning from Relative Comparisons.
CoRR, 2014

Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning.
CoRR, 2014

Efficient instance annotation in multi-instance learning.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Taming a Fuzzer Using Delta Debugging Trails.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Prune-and-Score: Learning for Greedy Coreference Resolution.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning Scripts as Hidden Markov Models.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Instance Annotation for Multi-Instance Multi-Label Learning.
TKDD, 2013

Multi-Label Classifier Chains for Bird Sound
CoRR, 2013

Novelty Detection Under Multi-Instance Multi-Label Framework.
CoRR, 2013

Taming compiler fuzzers.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013

A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Novelty detection under multi-label multi-instance framework.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Context-Aware MIML Instance Annotation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Exploration vs Exploitation in Bayesian Optimization
CoRR, 2012

Hybrid Batch Bayesian Optimization
CoRR, 2012

The Impact of Visual Appearance on User Response in Online Display Advertising
CoRR, 2012

The impact of visual appearance on user response in online display advertising.
Proceedings of the 21st World Wide Web Conference, 2012

Regularized joint density estimation for multi-instance learning.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Constructing Training Sets for Outlier Detection.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Rank-loss support instance machines for MIML instance annotation.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Hybrid Batch Bayesian Optimization.
Proceedings of the 29th International Conference on Machine Learning, 2012

Batch Active Learning via Coordinated Matching.
Proceedings of the 29th International Conference on Machine Learning, 2012

Visual appearance of display ads and its effect on click through rate.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Learning Rules from Incomplete Examples via Implicit Mention Models.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Dynamic Batch Bayesian Optimization
CoRR, 2011

Inverting Grice's Maxims to Learn Rules from Natural Language Extractions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Budgeted Optimization with Concurrent Stochastic-Duration Experiments.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Time-frequency segmentation of bird song in noisy acoustic environments.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Mining problem-solving strategies from HCI data.
ACM Trans. Comput.-Hum. Interact., 2010

Learning multiple nonredundant clusterings.
TKDD, 2010

MultiClust 2010: discovering, summarizing and using multiple clusterings.
SIGKDD Explorations, 2010

Batch Bayesian Optimization via Simulation Matching.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Myopic Policies for Budgeted Optimization with Constrained Experiments.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Clustering Ensembles Using Ants Algorithm.
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

Adaptive Cluster Ensemble Selection.
Proceedings of the IJCAI 2009, 2009

A Syllable-Level Probabilistic Framework for Bird Species Identification.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Learning non-redundant codebooks for classifying complex objects.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Audio Classification of Bird Species: A Statistical Manifold Approach.
Proceedings of the ICDM 2009, 2009

2008
Cluster Ensemble Selection.
Statistical Analysis and Data Mining, 2008

Cluster Ensemble Selection.
Proceedings of the SIAM International Conference on Data Mining, 2008

Testing vs. code inspection vs. what else?: male and female end users' debugging strategies.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007
Mining Interpretable Human Strategies: A Case Study.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Non-redundant Multi-view Clustering via Orthogonalization.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Gender Differences in End-User Debugging, Revisited: What the Miners Found.
Proceedings of the 2006 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2006), 2006

2005
Correlation Clustering for Learning Mixtures of Canonical Correlation Models.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004
Solving cluster ensemble problems by bipartite graph partitioning.
Proceedings of the Machine Learning, 2004

2003
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach.
Proceedings of the Machine Learning, 2003

Boosting Lazy Decision Trees.
Proceedings of the Machine Learning, 2003


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