← Authors

Marc'aurelio Ranzato

22 papers · 2006–2022 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (10) 🧬 Topic Evolution πŸ† Keyword Champion 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (92) πŸ’Ž Century Club (22) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6)

Conferences

NIPS (11) ICLR (5) CVPR (4) ICCV (1) JMLR (1)

Top co-authors

Guillaume Lample (5) Ludovic DENOYER (5) arthur szlam (3) Herve Jegou (2) Myle Ott (2) Geoffrey E. Hinton (2) Yann L. Cun (2) Sam Gross (2) Yaniv Taigman (2) Anton Bakhtin (2)

Keywords

convolutional neural network (4) feature learning (2) sparse representation (2) energy-based model (2) image generation (2) unsupervised learning (2) deep learning (2) restricted boltzmann machine (2) deep neural network (2) language model (2) deep belief network (2) transfer learning (2) large scale models (2) zero-shot learning (2) object recognition (1) feature extraction (1) catastrophic forgetting (1) continual learning (1) transformer architecture (1) neural network training (1)

Papers

Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
Residual Energy-Based Models for Text JMLR 2021
Residual Energy-Based Models for Text Generation ICLR 2020
Revisiting Self-Training for Neural Sequence Generation ICLR 2020
Multiple-Attribute Text Rewriting ICLR 2019
Large Memory Layers with Product Keys NIPS 2019
Task-Driven Modular Networks for Zero-Shot Compositional Learning ICCV 2019
Word translation without parallel data ICLR 2018
Unsupervised Machine Translation Using Monolingual Corpora Only ICLR 2018
Gradient Episodic Memory for Continual Learning NIPS 2017
Fader Networks:Manipulating Images by Sliding Attributes NIPS 2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision CVPR 2017
Web-Scale Training for Face Identification CVPR 2015
PANDA: Pose Aligned Networks for Deep Attribute Modeling CVPR 2014
DeepFace: Closing the Gap to Human-Level Performance in Face Verification CVPR 2014
DeViSE: A Deep Visual-Semantic Embedding Model NIPS 2013
Predicting Parameters in Deep Learning NIPS 2013
Large Scale Distributed Deep Networks NIPS 2012
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NIPS 2010
Generating more realistic images using gated MRF's NIPS 2010
Sparse Feature Learning for Deep Belief Networks NIPS 2007
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006