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2020 – today
- 2024
[j5]Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix:
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [i17]Anirban Sarkar, Matthew Groth, Ian Mason, Tomotake Sasaki, Xavier Boix:
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts. CoRR abs/2303.11912 (2023) - [i16]Kentaro Takemoto, Moyuru Yamada, Tomotake Sasaki, Hisanao Akima:
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models. CoRR abs/2305.09948 (2023) - [i15]Ian Mason, Anirban Sarkar, Tomotake Sasaki, Xavier Boix:
Modularity Trumps Invariance for Compositional Robustness. CoRR abs/2306.09005 (2023) - [i14]Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix:
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. CoRR abs/2309.08798 (2023) - 2022
- [j4]Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki
, Xavier Boix:
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions. Frontiers Comput. Neurosci. 16: 760085 (2022) - [j3]Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix:
When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations. Nat. Mach. Intell. 4(2): 146-153 (2022) - [j2]Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. Neural Networks 155: 119-143 (2022) - [c7]Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami, Toru Namerikawa:
Safe Exploration Method for Reinforcement Learning Under Existence of Disturbance. ECML/PKDD (4) 2022: 132-147 - [i13]Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix:
Do Neural Networks for Segmentation Understand Insideness? CoRR abs/2201.10664 (2022) - [i12]Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki:
Transformer Module Networks for Systematic Generalization in Visual Question Answering. CoRR abs/2201.11316 (2022) - [i11]Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami, Toru Namerikawa:
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance. CoRR abs/2209.15452 (2022) - 2021
- [j1]Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix:
Do Neural Networks for Segmentation Understand Insideness? Neural Comput. 33(9): 2511-2549 (2021) - [c6]Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh:
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. IROS 2021: 9000-9007 - [c5]Vanessa D'Amario, Tomotake Sasaki, Xavier Boix:
How Modular should Neural Module Networks Be for Systematic Generalization? NeurIPS 2021: 23374-23385 - [i10]Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane:
Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction. CoRR abs/2103.03656 (2021) - [i9]Yuka Masumoto, Yoshihiro Okawa, Tomotake Sasaki, Yutaka Hori:
Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems. CoRR abs/2103.03808 (2021) - [i8]Vanessa D'Amario, Tomotake Sasaki, Xavier Boix:
How Modular Should Neural Module Networks Be for Systematic Generalization? CoRR abs/2106.08170 (2021) - [i7]Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister:
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers. CoRR abs/2106.16198 (2021) - [i6]Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix:
The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions. CoRR abs/2107.06409 (2021) - [i5]Avi Cooper, Xavier Boix, Daniel Harari, Spandan Madan, Hanspeter Pfister, Tomotake Sasaki, Pawan Sinha:
To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? CoRR abs/2109.13445 (2021) - [i4]Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh:
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. CoRR abs/2110.00947 (2021) - [i3]Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. CoRR abs/2111.00131 (2021) - [i2]Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki, Xavier Boix:
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections. CoRR abs/2112.04162 (2021) - 2020
- [c4]Keizo Kato, Jing Zhou, Tomotake Sasaki, Akira Nakagawa:
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space. ICML 2020: 5166-5176 - [i1]Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix:
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. CoRR abs/2007.08032 (2020)
2010 – 2019
- 2019
- [c3]Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane:
Control Approach Combining Reinforcement Learning and Model-Based Control. ASCC 2019: 1419-1424 - 2015
- [c2]Hitoshi Yanami, Tomotake Sasaki, Junji Kaneko, Shinji Hara, Yafei Wang, Satoshi Moriyama, Hidenao Iwane:
State-dependent virtual hierarchization of batteries for realizing a glocal control in energy network systems and its application to peak power reduction in office. ASCC 2015: 1-6 - 2010
- [c1]Tomotake Sasaki, Shinji Hara, Koji Tsumura:
Accessibility Analysis for Controlled Quantum Systems under Continuous Quantum Measurement. CCA 2010: 1749-1754
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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