German Ignacio Parisi
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 21 papers; trusts 609 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 279 citations into it; #9,036 of 35,345 by trust here, #8,619 by citations
- Computer Vision and Pattern Recognition — 237 citations into it; #5,455 of 21,575 by trust here, #5,507 by citations
- Cognitive Neuroscience — 207 citations into it; #4,942 of 10,852 by trust here, #5,677 by citations
- Neuroscience — 97 citations into it
- Meta & Continual Learning — 74 citations into it; #439 of 1,041 by trust here, #269 by citations
- Social Psychology — 63 citations into it; #15,403 of 15,694 by trust here, #12,701 by citations
- Representation & Self-Supervised Learning — 52 citations into it; #914 of 3,145 by trust here, #253 by citations
- Cellular and Molecular Neuroscience — 51 citations into it
Whom German Ignacio Parisi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Teuvo Kohonen
- Geoffrey E. Hinton
- Stephen R. Marsland
- Bernd Fritzke
- Yann LeCun
- Pablo A. Estévez
- Yoshua Bengio
- Marc Strickert
- Stefan Wermter
Who trusts German Ignacio Parisi overall
- Luiza Mici
- Stefan Wermter
- Vincenzo Lomonaco
- Tyler L. Hayes
- Jun Tani
- Nikhil Churamani
- Marc Masana
- Cornelius Weber
- Bing Liu
- Nourhan Elfaramawy
Papers from German Ignacio Parisi's perspective
Ordered by how strongly the researchers German Ignacio Parisi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Avalanche: an End-to-End Library for Continual Learning (2021) — 219 citations
- Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization (2018) — 134 citations
- Self-organizing neural integration of pose-motion features for human action recognition (2015) — 88 citations
- Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI) (2021) — 30 citations
- CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions (2020) — 54 citations
- Online Continual Learning on Sequences (2020) — 35 citations
- Expectation Learning for Adaptive Crossmodal Stimuli Association (2018) — 3 citations
- A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments * (2018) — 13 citations
- On the role of neurogenesis in overcoming catastrophic forgetting (2018) — 15 citations
- Continual Lifelong Learning with Neural Networks: A Review (2018) — 3,616 citations
- An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction (2017) — 17 citations
- A self-organizing neural network architecture for learning human-object interactions (2017) — 35 citations
- Lifelong learning of human actions with deep neural network self-organization (2017) — 128 citations
- Emergence of multimodal action representations from neural network self-organization (2017) — 43 citations
- Emotion Recognition from Body Expressions with a Neural Network Architecture (2017) — 26 citations
- A computational model of crossmodal processing for conflict resolution (2017) — 9 citations
- Lifelong Learning of Action Representations with Deep Neural Self-Organization (2017) — 8 citations
- Human motion assessment in real time using recurrent self-organization (2016) — 55 citations
- Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario (2016) — 38 citations
- Recognition of Transitive Actions with Hierarchical Neural Network Learning (2016) — 5 citations