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2020 – today
- 2024
[c17]Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez:
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. ICML 2024- [i14]Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez:
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR abs/2407.12824 (2024) - 2023
- [j5]T. Anderson Keller, Xavier Suau, Luca Zappella:
Homomorphic Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c16]Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella:
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML 2023: 29143-29160 - [c15]Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella:
DUET: 2D Structured and Approximately Equivariant Representations. ICML 2023: 32749-32769 - [c14]Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer
:
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. INTERSPEECH 2023: 3724-3728 - [c13]Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella:
DeepPCR: Parallelizing Sequential Operations in Neural Networks. NeurIPS 2023 - [i13]Aspen K. Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz:
Designing Data: Proactive Data Collection and Iteration for Machine Learning. CoRR abs/2301.10319 (2023) - [i12]Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella:
DUET: 2D Structured and Approximately Equivariant Representations. CoRR abs/2306.16058 (2023) - [i11]Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella:
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR abs/2307.10907 (2023) - [i10]Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer:
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. CoRR abs/2308.09514 (2023) - [i9]Federico Danieli, Miguel Sarabia, Xavier Suau, Pau Rodríguez, Luca Zappella:
DeepPCR: Parallelizing Sequential Operations in Neural Networks. CoRR abs/2309.16318 (2023) - [i8]Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas:
Robust multimodal models have outlier features and encode more concepts. CoRR abs/2310.13040 (2023) - 2022
- [c12]Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff:
Self-conditioning Pre-Trained Language Models. ICML 2022: 4455-4473 - [i7]Aparna R. Joshi, Xavier Suau, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff:
Fair SA: Sensitivity Analysis for Fairness in Face Recognition. CoRR abs/2202.03586 (2022) - [i6]Nico Lingg, Miguel Sarabia, Luca Zappella, Barry-John Theobald:
Contrastive Self-Supervised Learning for Skeleton Representations. CoRR abs/2211.05304 (2022) - [i5]T. Anderson Keller, Xavier Suau, Luca Zappella:
Homomorphic Self-Supervised Learning. CoRR abs/2211.08282 (2022) - 2021
- [c11]Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff:
Fair SA: Sensitivity Analysis for Fairness in Face Recognition. AFCR 2021: 40-58 - [c10]Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS 2021: 9-14 - [i4]Xavier Suau, Luca Zappella, Nicholas Apostoloff:
Self-conditioning pre-trained language models. CoRR abs/2110.02802 (2021) - [i3]Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. CoRR abs/2111.12427 (2021) - 2020
- [c9]Xavier Suau, Luca Zappella, Nicholas Apostoloff:
Filter Distillation for Network Compression. WACV 2020: 3129-3138 - [i2]Xavier Suau, Luca Zappella, Nicholas Apostoloff:
Finding Experts in Transformer Models. CoRR abs/2005.07647 (2020)
2010 – 2019
- 2018
- [i1]Xavier Suau, Luca Zappella, Vinay Palakkode, Nicholas Apostoloff:
Principal Filter Analysis for Guided Network Compression. CoRR abs/1807.10585 (2018) - 2017
- [j4]Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamín Béjar Haro, Luca Zappella, Sanjeev Khudanpur, René Vidal, Gregory D. Hager:
A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Trans. Biomed. Eng. 64(9): 2025-2041 (2017) - 2015
- [c8]Muhammad Habib Mahmood, Luca Zappella, Yago Diez, Joaquim Salvi, Xavier Lladó:
A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15). IbPRIA 2015: 463-470 - 2013
- [j3]Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi:
Joint estimation of segmentation and structure from motion. Comput. Vis. Image Underst. 117(2): 113-129 (2013) - [j2]Luca Zappella, Benjamín Béjar Haro, Gregory D. Hager, René Vidal:
Surgical gesture classification from video and kinematic data. Medical Image Anal. 17(7): 732-745 (2013) - [c7]Lingling Tao, Luca Zappella, Gregory D. Hager, René Vidal:
Surgical Gesture Segmentation and Recognition. MICCAI (3) 2013: 339-346 - 2012
- [c6]Aastha Jain, Luca Zappella, Patrick McClure, René Vidal:
Visual Dictionary Learning for Joint Object Categorization and Segmentation. ECCV (5) 2012: 718-731 - [c5]Benjamín Béjar Haro, Luca Zappella, René Vidal:
Surgical Gesture Classification from Video Data. MICCAI (1) 2012: 34-41 - 2011
- [b1]Luca Zappella:
Manifold clustering for motion segmentation. University of Girona, Spain, 2011 - [j1]Luca Zappella, Xavier Lladó, Edoardo Provenzi, Joaquim Salvi:
Enhanced Local Subspace Affinity for feature-based motion segmentation. Pattern Recognit. 44(2): 454-470 (2011) - [c4]Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi:
Simultaneous motion segmentation and Structure from Motion. WACV 2011: 679-684 - 2010
- [c3]Luca Zappella, Edoardo Provenzi, Xavier Lladó, Joaquim Salvi:
Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration. ACCV (3) 2010: 15-26
2000 – 2009
- 2009
- [c2]Luca Zappella, Xavier Lladó, Joaquim Salvi:
Enhanced Model Selection for motion segmentation. ICIP 2009: 4053-4056 - 2008
- [c1]Luca Zappella, Xavier Lladó, Joaquim Salvi:
Motion Segmentation: a Review. CCIA 2008: 398-407
Coauthor Index
aka: Xavier Suau Cuadros
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last updated on 2024-09-04 00:30 CEST by the dblp team
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