Xiaoli Fern
18 papers · 2011–2024 · 9 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
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π€
Dynamic Duo
(11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(97)
Top co-authors
Research topics
Machine Learning
(14)
Natural Language Processing
(8)
Core Methods
(8)
Artificial Intelligence
(7)
Deep Learning
(7)
Applications
(6)
Core AI
(6)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Architectures
(4)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Understanding
(2)
Computer Vision
(1)
Keywords
attention mechanism
(5)
neural network
(2)
natural language inference
(2)
model interpretability
(2)
ensemble learning
(1)
structured prediction
(1)
multi-task learning
(1)
object detection
(1)
transfer learning
(1)
hyperparameter optimization
(1)
coreference resolution
(1)
relation extraction
(1)
entity linking
(1)
named entity recognition
(1)
entity disambiguation
(1)
text classification
(1)
reading comprehension
(1)
semantic representation
(1)
heuristic search
(1)
black-box optimization
(1)
Papers
Neural Networks Learn Statistics of Increasing Complexity
ICML 2024
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition
JMLR 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
EMNLP 2021
Relation Extraction with Explanation
ACL 2020
ScaleNet - Improve CNNs through Recursively Rescaling Objects
AAAI 2020
Description-Based Zero-shot Fine-Grained Entity Typing
NAACL 2019
Saliency Learning: Teaching the Model Where to Pay Attention
NAACL 2019
Dependent Gated Reading for Cloze-Style Question Answering
COLING 2018
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
NAACL 2018
Event Detection with Neural Networks: A Rigorous Empirical Evaluation
EMNLP 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
EMNLP 2018
Joint Neural Entity Disambiguation with Output Space Search
COLING 2018
Open Set Learning with Counterfactual Images
ECCV 2018
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms
ACML 2017
Event Nugget Detection with Forward-Backward Recurrent Neural Networks
ACL 2016
Multi-instance multi-label learning in the presence of novel class instances
ICML 2015
Prune-and-Score: Learning for Greedy Coreference Resolution
EMNLP 2014
Learning Rules from Incomplete Examples via Implicit Mention Models
ACML 2011