Search Results for author: Koichi Shinoda

Found 12 papers, 2 papers with code

Implicit Neural Representations for Variable Length Human Motion Generation

1 code implementation25 Mar 2022 Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda

We confirm that our method with a Transformer decoder outperforms all relevant methods on HumanAct12, NTU-RGBD, and UESTC datasets in terms of realism and diversity of generated motions.


MSR-DARTS: Minimum Stable Rank of Differentiable Architecture Search

no code implementations19 Sep 2020 Kengo Machida, Kuniaki Uto, Koichi Shinoda, Taiji Suzuki

To overcome this problem, we propose a method called minimum stable rank DARTS (MSR-DARTS), for finding a model with the best generalization error by replacing architecture optimization with the selection process using the minimum stable rank criterion.

Neural Architecture Search

MaskConvNet: Training Efficient ConvNets from Scratch via Budget-constrained Filter Pruning

no code implementations ICLR 2020 Raden Mu'az Mun'im, Jie Lin, Vijay Chandrasekhar, Koichi Shinoda

(4) Fast, it is observed that the number of training epochs required by MaskConvNet is close to training a baseline without pruning.

Network Pruning

Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition

no code implementations12 Nov 2018 Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda

We investigate the feasibility of sequence-level knowledge distillation of Sequence-to-Sequence (Seq2Seq) models for Large Vocabulary Continuous Speech Recognition (LVSCR).

Knowledge Distillation Model Compression +2

Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances

no code implementations12 Sep 2018 Thao Minh Le, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda

With the widespread use of intelligent systems, such as smart speakers, addressee recognition has become a concern in human-computer interaction, as more and more people expect such systems to understand complicated social scenes, including those outdoors, in cafeterias, and hospitals.

Few-Shot Adaptation for Multimedia Semantic Indexing

no code implementations19 Jul 2018 Nakamasa Inoue, Koichi Shinoda

Few-shot adaptation provides robust parameter estimation with few training examples, by optimizing the parameters of zero-shot learning and supervised many-shot learning simultaneously.

Few-Shot Learning Zero-Shot Learning

I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification

no code implementations1 Apr 2018 Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda

I-vector based text-independent speaker verification (SV) systems often have poor performance with short utterances, as the biased phonetic distribution in a short utterance makes the extracted i-vector unreliable.

Generative Adversarial Network Text-Independent Speaker Verification

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