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Publication search results
found 62 matches
- 2023
- Fernando Gordillo, José M. Arana, Beatriz Lamas, Miguel Ángel Pérez:
Analysis of attentional biases in anxiety using 24 facial priming sequences. Cogn. Process. 24(3): 339-351 (2023) - Zimin Li, Wubin Kong, Ronghai Qu, Zixiang Yu:
Feedback Linearization Direct Torque Control With Zero-Sequence Current Regulation for DC-Biased VRM Drives. IEEE Trans. Ind. Electron. 70(11): 10881-10890 (2023) - Karthic Madanagopal, James Caverlee:
Reinforced Sequence Training based Subjective Bias Correction. EACL 2023: 2577-2590 - Taiga Ishii, Ryo Ueda, Yusuke Miyao:
Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences. CoRR abs/2305.09178 (2023) - 2022
- Giulia Magoga, Giobbe Forni, Matteo Brunetti, Aycan Meral, Alberto Spada, Alessio De Biase, Matteo Montagna:
Curation of a reference database of COI sequences for insect identification through DNA metabarcoding: COins. Database J. Biol. Databases Curation 2022(2022) (2022) - Zixiang Yu, Wubin Kong, Ronghai Qu, Zimin Li, Dawei Li:
Dual-Inverter PWM Scheme for DC-Biased Vernier Reluctance Machines With Reduced Switching Frequency Capable of Zero-Sequence Current Regulation. IEEE Trans. Ind. Electron. 69(2): 1276-1287 (2022) - Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster:
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. ACL (Findings) 2022: 1352-1368 - Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova:
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) 2022: 3436-3448 - Adam R. Villaflor, Zhe Huang, Swapnil Pande, John M. Dolan, Jeff Schneider:
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning. ICML 2022: 22270-22283 - Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster:
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. CoRR abs/2203.09397 (2022) - Jesús Andrés-Ferrer, Dario Albesano, Puming Zhan, Paul Vozila:
Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems. CoRR abs/2206.14623 (2022) - Adam Villaflor, Zhe Huang, Swapnil Pande, John M. Dolan, Jeff Schneider:
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning. CoRR abs/2207.10295 (2022) - Kaiwen Hou, Guillaume Rabusseau:
Spectral Regularization: an Inductive Bias for Sequence Modeling. CoRR abs/2211.02255 (2022) - 2021
- Roberto Del Amparo, Catarina Branco, Jesús Arenas, Alberto Vicens, Miguel Arenas:
Analysis of selection in protein-coding sequences accounting for common biases. Briefings Bioinform. 22(5) (2021) - Aziz Khan, Rafael Riudavets Puig, Paul Boddie, Anthony Mathelier:
BiasAway: command-line and web server to generate nucleotide composition-matched DNA background sequences. Bioinform. 37(11): 1607-1609 (2021) - Zixiang Yu, Wubin Kong, Ronghai Qu:
Direct Torque Control Strategy for DC-Biased Vernier Reluctance Machines Capable of Zero-Sequence Current Regulation. IEEE Trans. Ind. Electron. 68(3): 2024-2033 (2021) - Jesús Andrés-Ferrer, Dario Albesano, Puming Zhan, Paul Vozila:
Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems. Interspeech 2021: 2007-2011 - Liping Yuan, Jiangtao Feng, Xiaoqing Zheng, Xuanjing Huang:
Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks. CoRR abs/2103.11603 (2021) - 2020
- Nathaniel P. Delos Santos, Lorane Texari, Christopher Benner:
MEIRLOP: improving score-based motif enrichment by incorporating sequence bias covariates. BMC Bioinform. 21(1): 410 (2020) - Arun Kumar Polala, Giray Ökten:
Implementing de-biased estimators using mixed sequences. Monte Carlo Methods Appl. 26(4): 293-301 (2020) - Elisa Infanti, Dietrich Samuel Schwarzkopf:
Mapping sequences can bias population receptive field estimates. NeuroImage 211: 116636 (2020) - R. Thomas McCoy, Robert Frank, Tal Linzen:
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks. Trans. Assoc. Comput. Linguistics 8: 125-140 (2020) - Amir Tal, Eli Vakil:
How a-priori biases affect sequence learning in a serial reaction time task. CogSci 2020 - Garrett Nicolai, Miikka Silfverberg:
Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models. COLING 2020: 2837-2846 - Meshal Ansari, David S. Fischer, Fabian J. Theis:
Learning Tn5 Sequence Bias from ATAC-seq on Naked Chromatin. ICANN (1) 2020: 105-114 - Mohamed Abuelanin, Mohamed Fares, Mohamed El-Hadidi:
Insilico Codon Bias Correction for Transgenic Biological Protein Sequences for Vaccine Production. NILES 2020: 465-468 - R. Thomas McCoy, Robert Frank, Tal Linzen:
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks. CoRR abs/2001.03632 (2020) - Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR abs/2006.07034 (2020) - 2019
- Jonathan Zhang, David Borland, Wenyuan Wang, Joshua Shrestha, David Gotz:
Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data. VAHC 2019: 56-57 - 2018
- Ryan Budnick, Felix Wang:
Iambic Bias in Parsing Syllable Sequences by English Speakers. CogSci 2018
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