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Geoffrey Hinton

24 papers · 1999–2023 · 10 venues · across top CS/AI venues

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Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Ultra 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌟 Keyword Trendsetter Combo (5) 🧬 Topic Evolution 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (94) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze

Venues

ICML (7) ICLR (5) AISTATS (4) JMLR (2) ACL (1) CVPR (1) ECCV (1) EMNLP (1) ICCV (1) NeurIPS (1)

Top co-authors

Mohammad Norouzi (5) Ilya Sutskever (5) Simon Kornblith (4) Ting Chen (4) Andrea Tagliasacchi (3) Ruslan Salakhutdinov (3) Boyang Deng (2) Soroosh Yazdani (2) Sara Sabour (2) Saurabh Saxena (2)

Research topics

Machine Learning (16) Deep Learning (12) Core Methods (7) Artificial Intelligence (6) Learning Types (6) Computer Vision (5) Architectures (5) Models (5) Optimization & Theory (5) Core AI (4) Generation (4) Techniques (4) Natural Language Processing (3) Application Areas (3) Learning Paradigms (3)

Keywords

neural network (3) language modeling (2) image reconstruction (2) discrete data generation (2) contrastive learning (2) data augmentation (2) diffusion model (2) neural network optimization (2) capsule network (2) deep neural network (2) feature learning (2) self-supervised learning (2) video segmentation (1) image generation (1) sequence modeling (1) neural network training (1) representation learning (1) sequence generation (1) semantic segmentation (1) attention mechanism (1)

Papers

A Generalist Framework for Panoptic Segmentation of Images and Videos ICCV 2023 Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning ICLR 2023 Scaling Forward Gradient With Local Losses ICLR 2023 Meta-Learning Fast Weight Language Models EMNLP 2022 Pix2seq: A Language Modeling Framework for Object Detection ICLR 2022 Teaching with Commentaries ICLR 2021 Unsupervised Part Representation by Flow Capsules ICML 2021 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 CvxNet: Learnable Convex Decomposition CVPR 2020 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions ICLR 2020 Imputer: Sequence Modelling via Imputation and Dynamic Programming ICML 2020 NASA Neural Articulated Shape Approximation ECCV 2020 Analyzing and Improving Representations with the Soft Nearest Neighbor Loss ICML 2019 Similarity of Neural Network Representations Revisited ICML 2019 Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search ACL 2018 Grammar as a Foreign Language NeurIPS 2015 Dropout: A Simple Way to Prevent Neural Networks from Overfitting JMLR 2014 On the importance of initialization and momentum in deep learning ICML 2013 Tensor Analyzers ICML 2013 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Visualizing Data using t-SNE JMLR 2008 Deep Boltzmann Machines AISTATS 2005 Learning Multilevel Distributed Representations for High-Dimensional Sequences AISTATS 1999 Visualizing Similarity Data with a Mixture of Maps AISTATS 1999