Sosuke Kobayashi

According to our database, Sosuke Kobayashi authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Spike No More: Stabilizing the Pre-training of Large Language Models.

Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

CoRR, 2023

B2T Connection: Serving Stability and Performance in Deep Transformers.

Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On Layer Normalizations and Residual Connections in Transformers.

Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

CoRR, 2022

Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model.

Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui

CoRR, 2022

Decomposing NeRF for Editing via Feature Field Distillation.

Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users' Daily Lives.

Riku Arakawa, Hiromu Yakura, Sosuke Kobayashi

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Instance-Based Neural Dependency Parsing.

Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui

Trans. Assoc. Comput. Linguistics, 2021

SHAPE : Shifted Absolute Position Embedding for Transformers.

Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN.

Masaki Saito, Shunta Saito, Masanori Koyama, Sosuke Kobayashi

Int. J. Comput. Vis., 2020

All Word Embeddings from One Embedding.

Sho Takase, Sosuke Kobayashi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Estimation of Influence of a Training Instance.

Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

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

Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Data Interpolating Prediction: Alternative Interpretation of Mixup.

Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi

CoRR, 2019

Learning from Observation-Only Demonstration for Task-Oriented Language Grounding via Self-Examination.

Tsu-Jui Fu, Yuta Tsuboi, Sosuke Kobayashi, Yuta Kikuchi

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

2018

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

Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda

CoRR, 2018

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations.

Sosuke Kobayashi

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions.

Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

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

Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unsupervised Learning of Style-sensitive Word Vectors.

Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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

Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Generating Stylistically Consistent Dialog Responses with Transfer Learning.

Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

An RNN-based Binary Classifier for the Story Cloze Test.

Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue, Andrew Gordon

Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

2016

Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection.

Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Dynamic Entity Representation with Max-pooling Improves Machine Reading.

Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui

Proceedings of the NAACL HLT 2016, 2016