Wojciech Czarnecki

According to our database1, Wojciech Czarnecki authored at least 45 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Multi-task Deep Reinforcement Learning with PopArt.
CoRR, 2018

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.
CoRR, 2018

Mix&Match - Agent Curricula for Reinforcement Learning.
CoRR, 2018

Progress & Compress: A scalable framework for continual learning.
CoRR, 2018

Kickstarting Deep Reinforcement Learning.
CoRR, 2018

Progress & Compress: A scalable framework for continual learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Mix & Match Agent Curricula for Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Extreme entropy machines: robust information theoretic classification.
Pattern Anal. Appl., 2017

Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization.
Journal of Chemical Information and Modeling, 2017

Population Based Training of Neural Networks.
CoRR, 2017

Distral: Robust Multitask Reinforcement Learning.
CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.
CoRR, 2017

How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks.
CoRR, 2017

On Loss Functions for Deep Neural Networks in Classification.
CoRR, 2017

Grounded Language Learning in a Simulated 3D World.
CoRR, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.
CoRR, 2017

Sobolev Training for Neural Networks.
CoRR, 2017

Distral: Robust multitask reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sobolev Training for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decoupled Neural Interfaces using Synthetic Gradients.
Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Local minima in training of deep networks.
CoRR, 2016

Learning to SMILE(S).
CoRR, 2016

Reinforcement Learning with Unsupervised Auxiliary Tasks.
CoRR, 2016

Decoupled Neural Interfaces using Synthetic Gradients.
CoRR, 2016

2015
Robust optimization of SVM hyperparameters in the classification of bioactive compounds.
J. Cheminformatics, 2015

Multithreshold Entropy Linear Classifier: Theory and applications.
Expert Syst. Appl., 2015

Fast optimization of Multithreshold Entropy Linear Classifier.
CoRR, 2015

Extreme Entropy Machines: Robust information theoretic classification.
CoRR, 2015

Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation.
CoRR, 2015

On the consistency of Multithreshold Entropy Linear Classifier.
CoRR, 2015

Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery.
IEEE Comp. Int. Mag., 2015

Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Adaptive Active Learning with Ensemble of Learners and Multiclass Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Online Extreme Entropy Machines for Streams Classification and Active Learning.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Two ellipsoid Support Vector Machines.
Expert Syst. Appl., 2014

Cluster based RBF Kernel for Support Vector Machines.
CoRR, 2014

Multithreshold Entropy Linear Classifier.
CoRR, 2014

Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

Adaptive Active Learning as a Multi-armed Bandit Problem.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
InFeST - ImageJ Plugin for Rapid Development of Image Segmentation Pipelines.
Proceedings of the Man-Machine Interactions 3, 2013

Machine Learning with Known Input Data Uncertainty Measure.
Proceedings of the Computer Information Systems and Industrial Management, 2013

2012
Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2012


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