Sosuke Kobayashi
14 papers · 2016–2023 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Interdisciplinary Bridge π Cross-Pollinator (14) π Conference Polyglot (6) π Academic Marathon (7) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(35)
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Century Club
(14)
π
Trend Setter
ποΈ
Keyword Collector
(63)
Conferences
ACL (4)
EMNLP (3)
IJCNLP (2)
NAACL (2)
NIPS (2)
SEMEVAL (1)
Top co-authors
Keywords
neural network
(3)
word embedding
(3)
text generation
(2)
transfer learning
(2)
feature extraction
(1)
structured prediction
(1)
lottery ticket hypothesis
(1)
neural network optimization
(1)
style transfer
(1)
attention mechanism
(1)
knowledge distillation
(1)
data augmentation
(1)
neural machine translation
(1)
named entity recognition
(1)
text representation
(1)
similarity learning
(1)
text summarization
(1)
network pruning
(1)
text classification
(1)
semantic segmentation
(1)
Papers
B2T Connection: Serving Stability and Performance in Deep Transformers
ACL 2023
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
ACL 2022
Decomposing NeRF for Editing via Feature Field Distillation
NIPS 2022
SHAPE: Shifted Absolute Position Embedding for Transformers
EMNLP 2021
All Word Embeddings from One Embedding
NIPS 2020
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
ACL 2020
Efficient Estimation of Influence of a Training Instance
EMNLP 2020
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
EMNLP 2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
NAACL 2018
Unsupervised Learning of Style-sensitive Word Vectors
ACL 2018
Generating Stylistically Consistent Dialog Responses with Transfer Learning
IJCNLP 2017
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
IJCNLP 2017
Dynamic Entity Representation with Max-pooling Improves Machine Reading
NAACL 2016
Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection
SEMEVAL 2016