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ORCIDAngelos Katharopoulos
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2020 – today
- 2024
[i11]David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun:
Specialized Language Models with Cheap Inference from Limited Domain Data. CoRR abs/2402.01093 (2024)- [i10]Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert:
No Need to Talk: Asynchronous Mixture of Language Models. CoRR abs/2410.03529 (2024) - 2023
- [c8]Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter:
Masked Autoencoding Does Not Help Natural Language Supervision at Scale. CVPR 2023: 23432-23444 - [i9]Floris Weers, Vaishaal Shankar, Angelos Katharopoulos, Yinfei Yang, Tom Gunter:
Self Supervision Does Not Help Natural Language Supervision at Scale. CoRR abs/2301.07836 (2023) - [i8]Mark Levy, Bruno Di Giorgi, Floris Weers, Angelos Katharopoulos, Tom Nickson:
Controllable Music Production with Diffusion Models and Guidance Gradients. CoRR abs/2311.00613 (2023) - 2021
- [c7]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR 2021: 3204-3215 - [i7]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR abs/2103.10429 (2021) - 2020
- [c6]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. ICML 2020: 5156-5165 - [c5]Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. NeurIPS 2020 - [i6]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. CoRR abs/2006.16236 (2020) - [i5]Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. CoRR abs/2007.04825 (2020)
2010 – 2019
- 2019
- [c4]Angelos Katharopoulos, François Fleuret:
Processing Megapixel Images with Deep Attention-Sampling Models. ICML 2019: 3282-3291 - [i4]Angelos Katharopoulos, François Fleuret:
Processing Megapixel Images with Deep Attention-Sampling Models. CoRR abs/1905.03711 (2019) - 2018
- [c3]Angelos Katharopoulos, François Fleuret:
Not All Samples Are Created Equal: Deep Learning with Importance Sampling. ICML 2018: 2530-2539 - [i3]Angelos Katharopoulos, François Fleuret:
Not All Samples Are Created Equal: Deep Learning with Importance Sampling. CoRR abs/1803.00942 (2018) - 2017
- [c2]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou
, Anastasios Delopoulos:
Learning local feature aggregation functions with backpropagation. EUSIPCO 2017: 748-752 - [i2]Angelos Katharopoulos, François Fleuret:
Biased Importance Sampling for Deep Neural Network Training. CoRR abs/1706.00043 (2017) - [i1]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos:
Learning Local Feature Aggregation Functions with Backpropagation. CoRR abs/1706.08580 (2017) - 2016
- [c1]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos:
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia 2016: 332-336
Coauthor Index
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