Peyman Passban
11 papers · 2016–2022 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Cross-Pollinator (13) π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (6)
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club
(11)
Conferences
COLING (3)
AAAI (2)
EMNLP (2)
NAACL (2)
ACL (1)
IJCNLP (1)
Top co-authors
Keywords
neural machine translation
(7)
knowledge distillation
(3)
model compression
(3)
morphologically rich language
(2)
word embedding
(2)
attention mechanism
(1)
parameter selection
(1)
statistical machine translation
(1)
parameter sharing
(1)
noise robustness
(1)
convolutional neural network
(1)
parameter efficiency
(1)
multi-domain learning
(1)
position embedding
(1)
encoder-decoder architecture
(1)
random embedding
(1)
teacher-student network
(1)
out-of-vocabulary word
(1)
subword model
(1)
phrase table
(1)
Papers
Training Mixed-Domain Translation Models via Federated Learning
NAACL 2022
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
AAAI 2022
Dynamic Position Encoding for Transformers
COLING 2022
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
ACL 2021
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
AAAI 2021
Revisiting Robust Neural Machine Translation: A Transformer Case Study
EMNLP 2021
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
IJCNLP 2021
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers
EMNLP 2020
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
NAACL 2018
Tailoring Neural Architectures for Translating from Morphologically Rich Languages
COLING 2018
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings
COLING 2016