Sosuke Kobayashi | DeepAI

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Featured Co-authors

Kentaro Inui
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Naoaki Okazaki
42 publications
Jun Suzuki
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Vincent Sitzmann
24 publications
Shin-ichi Maeda
23 publications
Sho Yokoi
19 publications
Sho Takase
19 publications
Kohei Hayashi
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Tatsuki Kuribayashi
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Shun Kiyono
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∙ 06/01/2022

On Layer Normalizations and Residual Connections in Transformers

In the perspective of a layer normalization (LN) position, the architect...

21 Sho Takase, et al. ∙

∙ 05/31/2022

Decomposing NeRF for Editing via Feature Field Distillation

Emerging neural radiance fields (NeRF) are a promising scene representat...

3 Sosuke Kobayashi, et al. ∙

∙ 05/24/2022

Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model

Ensembling is a popular method used to improve performance as a last res...

20 Sosuke Kobayashi, et al. ∙

∙ 09/28/2021

Instance-Based Neural Dependency Parsing

Interpretable rationales for model predictions are crucial in practical ...

0 Hiroki Ouchi, et al. ∙

∙ 09/13/2021

SHAPE: Shifted Absolute Position Embedding for Transformers

Position representation is crucial for building position-aware represent...

8 Shun Kiyono, et al. ∙

∙ 12/08/2020

Efficient Estimation of Influence of a Training Instance

Understanding the influence of a training instance on a neural network m...

10 Sosuke Kobayashi, et al. ∙

∙ 04/29/2020

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition

Interpretable rationales for model predictions play a critical role in p...

0 Hiroki Ouchi, et al. ∙

∙ 04/25/2020

All Word Embeddings from One Embedding

In neural network-based models for natural language processing (NLP), th...

0 Sho Takase, et al. ∙

∙ 06/20/2019

Data Interpolating Prediction: Alternative Interpretation of Mixup

Data augmentation by mixing samples, such as Mixup, has widely been used...

4 Takuya Shimada, et al. ∙

∙ 10/28/2018

DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback

Exploration has been one of the greatest challenges in reinforcement lea...

0 Riku Arakawa, et al. ∙

∙ 09/04/2018

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions

In this paper, we propose a new kernel-based co-occurrence measure that ...

0 Sho Yokoi, et al. ∙

∙ 05/16/2018

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

We propose a novel data augmentation for labeled sentences called contex...

0 Sosuke Kobayashi, et al. ∙

∙ 05/15/2018

Unsupervised Learning of Style-sensitive Word Vectors

This paper presents the first study aimed at capturing stylistic similar...

0 Reina Akama, et al. ∙

∙ 10/17/2017

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

Comprehension of spoken natural language is an essential component for r...

0 Jun Hatori, et al. ∙

∙ 09/06/2017

A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse

This study addresses the problem of identifying the meaning of unknown w...

0 Sosuke Kobayashi, et al. ∙

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