Synbols: Probing Learning Algorithms with Synthetic Datasets

14 September 2020

Alexandre Lacoste

Pau Rodríguez

Frederic Branchaud-Charron

David Vázquez

Papers citing "Synbols: Probing Learning Algorithms with Synthetic Datasets"

39 / 39 papers shown

Title
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning Massimo Caccia Pau Rodríguez López O. Ostapenko Fabrice Normandin Min Lin ... I. Laradji Irina Rish Alexande Lacoste David Vazquez Laurent Charlin CLL KELM 34 66 0 12 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 38 194 0 09 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 277 921 0 02 Mar 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 43 245 0 11 Feb 2020
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Meelis Kull Miquel Perelló Nieto Markus Kängsepp Telmo de Menezes e Silva Filho Hao Song Peter A. Flach UQCV 48 378 0 28 Oct 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 70 136 0 22 Oct 2019
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 54 688 0 21 Oct 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 43 578 0 10 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 137 2,190 0 05 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 35 2,633 0 05 Jun 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 50 362 0 25 Mar 2019
Measuring Compositionality in Representation Learning Jacob Andreas CoGe 50 146 0 19 Feb 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 80 1,451 0 29 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 194 5,363 0 28 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 220 2,649 0 20 Aug 2018
Where are the Blobs: Counting by Localization with Point Supervision I. Laradji Negar Rostamzadeh Pedro H. O. Pinheiro David Vazquez Mark Schmidt 36 195 0 25 Jul 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 82 1,310 0 23 May 2018
Sparse Unsupervised Capsules Generalize Better D. Rawlinson Abdelrahman Ahmed Gideon Kowadlo 45 49 0 17 Apr 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Yuhong Li Xiaofan Zhang Deming Chen 112 1,325 0 27 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 35 1,336 0 16 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 174 4,035 0 16 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 115 5,111 0 10 Nov 2017
Count-ception: Counting by Fully Convolutional Redundant Counting Joseph Paul Cohen G. Boucher C. A. Glastonbury Henry Z. Lo Yoshua Bengio 35 156 0 25 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 173 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 742 11,793 0 09 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 31 1,717 0 08 Mar 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 255 2,346 0 20 Dec 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 255 7,286 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 219 7,951 0 23 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 247 37,704 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 420 9,233 0 06 Jun 2015
Accelerating Very Deep Convolutional Networks for Classification and Detection Xinming Zhang Jianhua Zou Kaiming He Jian Sun 40 792 0 26 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 224 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 519 149,474 0 22 Dec 2014
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 87 3,645 0 24 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 321 16,972 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 189 15,825 0 12 Nov 2013
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 51 901 0 24 Dec 2011