Fei Tian
20 papers · 2014–2019 · 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 (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(12)
π
Grand Slam
π
Triple Crown
π§
Keyword Pioneer
π€
Dynamic Duo
(16)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(88)
Top co-authors
Research topics
Deep Learning
(12)
Machine Learning
(12)
Natural Language Processing
(12)
Applications
(12)
Artificial Intelligence
(8)
Learning Types Β· Deep Learning
(8)
Architectures
(7)
Core AI
(7)
Optimization & Theory
(6)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Learning Paradigms
(3)
Reinforcement Learning
(1)
Generation
(1)
Keywords
neural machine translation
(11)
machine translation
(4)
sequence generation
(3)
knowledge distillation
(3)
policy gradient
(2)
image classification
(2)
model compression
(2)
reinforcement learning
(2)
non-autoregressive translation
(2)
text summarization
(2)
deep neural network
(2)
gradient-based optimization
(1)
sequence modeling
(1)
sentiment analysis
(1)
network architecture
(1)
representation learning
(1)
image captioning
(1)
language modeling
(1)
word alignment
(1)
text generation
(1)
Papers
Depth Growing for Neural Machine Translation
ACL 2019
Hint-Based Training for Non-Autoregressive Machine Translation
EMNLP 2019
Microsoft Research Asiaβs Systems for WMT19
ACL 2019
Multi-Agent Dual Learning
ICLR 2019
Neural Machine Translation with Soft Prototype
NeurIPS 2019
Non-Autoregressive Machine Translation with Auxiliary Regularization
AAAI 2019
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
AAAI 2019
Adversarial Neural Machine Translation
ACML 2018
A Study of Reinforcement Learning for Neural Machine Translation
EMNLP 2018
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter
EMNLP 2018
Learning to Teach
ICLR 2018
Learning to Teach with Dynamic Loss Functions
NeurIPS 2018
Model-Level Dual Learning
ICML 2018
Neural Architecture Optimization
NeurIPS 2018
Towards Binary-Valued Gates for Robust LSTM Training
ICML 2018
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
NeurIPS 2017
Recurrent Residual Learning for Sequence Classification
EMNLP 2016
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
EMNLP 2016
Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective
IJCAI 2015
A Probabilistic Model for Learning Multi-Prototype Word Embeddings
COLING 2014