Xiaoli Fern
18 papers · 2011–2024 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(13)
🤝
Dynamic Duo
(11)
🌱
Topic Pioneer
⚡
Prolific Year
(6)
💎
Century Club
(18)
📈
Trend Setter
🚀
Conference Pioneer
🗃️
Keyword Collector
(88)
🔥
Unstoppable
(8)
Conferences
EMNLP (4)
NAACL (3)
ACL (2)
ACML (2)
COLING (2)
ICML (2)
AAAI (1)
ECCV (1)
JMLR (1)
Top co-authors
Research topics
Keywords
attention mechanism
(5)
natural language inference
(2)
model interpretability
(2)
neural network
(2)
text classification
(1)
hyperparameter optimization
(1)
black-box optimization
(1)
event detection
(1)
ensemble learning
(1)
relation extraction
(1)
entity linking
(1)
named entity recognition
(1)
entity disambiguation
(1)
coreference resolution
(1)
heuristic search
(1)
semantic representation
(1)
reading comprehension
(1)
object detection
(1)
transfer learning
(1)
zero-shot learning
(1)
Papers
Neural Networks Learn Statistics of Increasing Complexity
ICML 2024
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
EMNLP 2021
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition
JMLR 2021
ScaleNet - Improve CNNs through Recursively Rescaling Objects
AAAI 2020
Relation Extraction with Explanation
ACL 2020
Saliency Learning: Teaching the Model Where to Pay Attention
NAACL 2019
Description-Based Zero-shot Fine-Grained Entity Typing
NAACL 2019
Open Set Learning with Counterfactual Images
ECCV 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
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
NAACL 2018
Dependent Gated Reading for Cloze-Style Question Answering
COLING 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