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ORCIDKento Nozawa
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2020 – today
- 2024
[i7]Kento Nozawa, Takashi Masuko, Toru Taniguchi:
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words. CoRR abs/2408.08027 (2024)- 2022
- [c7]Han Bao, Yoshihiro Nagano, Kento Nozawa:
On the Surrogate Gap between Contrastive and Supervised Losses. ICML 2022: 1585-1606 - [c6]Kento Nozawa, Issei Sato:
Evaluation Methods for Representation Learning: A Survey. IJCAI 2022: 5556-5563 - [i6]Kento Nozawa, Issei Sato:
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey. CoRR abs/2204.08226 (2022) - 2021
- [c5]Kento Nozawa, Issei Sato:
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning. NeurIPS 2021: 5784-5797 - [i5]Kento Nozawa, Issei Sato:
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning. CoRR abs/2102.06866 (2021) - [i4]Han Bao, Yoshihiro Nagano, Kento Nozawa:
Sharp Learning Bounds for Contrastive Unsupervised Representation Learning. CoRR abs/2110.02501 (2021) - 2020
- [c4]Kento Nozawa, Pascal Germain, Benjamin Guedj:
PAC-Bayesian Contrastive Unsupervised Representation Learning. UAI 2020: 21-30
2010 – 2019
- 2019
- [i3]Kento Nozawa
, Issei Sato:
PAC-Bayes Analysis of Sentence Representation. CoRR abs/1902.04247 (2019) - [i2]Kento Nozawa, Pascal Germain, Benjamin Guedj:
PAC-Bayesian Contrastive Unsupervised Representation Learning. CoRR abs/1910.04464 (2019) - 2018
- [c3]Atsunori Kanemura, Yuhsen Cheng, Takumi Kaneko, Kento Nozawa, Shuichi Fukunaga:
Imputing Missing Values in EEG with Multivariate Autoregressive Models. EMBC 2018: 2639-2642 - [c2]Kento Nozawa, Masanari Kimura, Atsunori Kanemura:
Analyzing Centralities of Embedded Nodes. ICDM Workshops 2018: 1046-1049 - [i1]Kento Nozawa, Masanari Kimura, Atsunori Kanemura:
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. CoRR abs/1802.06368 (2018) - 2017
- [c1]Kento Nozawa, Kei Wakabayashi:
Scalable Algorithm for Probabilistic Overlapping Community Detection. SWM@WSDM 2017: 9-16
Coauthor Index
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