Hinton, Geoffrey

23 publications

ICCV 2023 A Generalist Framework for Panoptic Segmentation of Images and Videos Ting Chen, Lala Li, Saurabh Saxena, Geoffrey Hinton, David J. Fleet

ICLR 2023 Analog Bits: Generating Discrete Data Using Diffusion Models with Self-Conditioning Ting Chen, Ruixiang Zhang, Geoffrey Hinton

ICLR 2023 Scaling Forward Gradient with Local Losses Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey Hinton

ICLR 2022 Pix2seq: A Language Modeling Framework for Object Detection Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey Hinton

ICLR 2021 Teaching with Commentaries Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton

ICML 2021 Unsupervised Part Representation by Flow Capsules Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey Hinton, David J Fleet

ICML 2020 A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton

ICLR 2020 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison Cottrell, Geoffrey Hinton

ICML 2020 Imputer: Sequence Modelling via Imputation and Dynamic Programming William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly

ECCV 2020 NASA Neural Articulated Shape Approximation Boyang Deng, Jp Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi

ICML 2019 Analyzing and Improving Representations with the Soft Nearest Neighbor Loss Nicholas Frosst, Nicolas Papernot, Geoffrey Hinton

ICML 2019 Similarity of Neural Network Representations Revisited Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton

NeurIPS 2015 Grammar as a Foreign Language Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton

JMLR 2014 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov

ICML 2013 On the Importance of Initialization and Momentum in Deep Learning Ilya Sutskever, James Martens, George Dahl, Geoffrey Hinton

ICML 2013 Tensor Analyzers Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton

AISTATS 2010 Factored 3-Way Restricted Boltzmann Machines for Modeling Natural Images Marc’Aurelio Ranzato, Alex Krizhevsky, Geoffrey Hinton

AISTATS 2009 Deep Boltzmann Machines Ruslan Salakhutdinov, Geoffrey Hinton

JMLR 2008 Visualizing Data Using T-SNE Laurens van der Maaten, Geoffrey Hinton

AISTATS 2007 Learning Multilevel Distributed Representations for High-Dimensional Sequences Ilya Sutskever, Geoffrey Hinton

AISTATS 2007 Visualizing Similarity Data with a Mixture of Maps James Cook, Ilya Sutskever, Andriy Mnih, Geoffrey Hinton

AISTATS 2005 Learning Causally Linked Markov Random Fields Geoffrey Hinton, Simon Osindero, Kejie Bao

AISTATS 2005 On Contrastive Divergence Learning Miguel Á. Carreira-Perpiñán, Geoffrey Hinton