Ehsan Abbasnejad

According to our database1, Ehsan Abbasnejad authored at least 47 papers between 2011 and 2021.

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

Timeline

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Bibliography

2021
A data-driven reservoir simulation for natural gas reservoirs.
Neural Comput. Appl., 2021

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization.
CoRR, 2021

Learning for Visual Navigation by Imagining the Success.
CoRR, 2021

Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients.
Proceedings of the 38th International Conference on Machine Learning, 2021

All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
GADE: A Generative Adversarial Approach to Density Estimation and its Applications.
Int. J. Comput. Vis., 2020

Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output.
CoRR, 2020

Utilising Prior Knowledge for Visual Navigation: Distil and Adapt.
CoRR, 2020

Unshuffling Data for Improved Generalization.
CoRR, 2020

An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm.
CoRR, 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision and Language Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints.
CoRR, 2019

DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems.
CoRR, 2019

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes.
CoRR, 2019

Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection.
CoRR, 2019

Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator.
CoRR, 2019

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Reinforcement Learning with Attention that Works: A Self-Supervised Approach.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Generative Adversarial Density Estimator.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks.
CoRR, 2018

Discriminative Clustering of High-Dimensional Data Using Generative Modeling.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space.
Proceedings of the British Machine Vision Conference 2018, 2018

Active Learning from Noisy Tagged Images.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Distribution Based Workload Modelling of Continuous Queries in Clouds.
IEEE Trans. Emerg. Top. Comput., 2017

Bayesian Conditional Generative Adverserial Networks.
CoRR, 2017

DeepSetNet: Predicting Sets with Deep Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Infinite Variational Autoencoder for Semi-Supervised Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Label Filters for Large Scale Multilabel Classification.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015
Resource Usage Estimation of Data Stream Processing Workloads in Datacenter Clouds.
CoRR, 2015

Linear-Time Gibbs Sampling in Piecewise Graphical Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Loss-Calibrated Monte Carlo Action Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Soccer event detection via collaborative multimodal feature analysis and candidate ranking.
Int. Arab J. Inf. Technol., 2013

Decision-Theoretic Sparsification for Gaussian Process Preference Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes.
Proceedings of the IJCAI 2013, 2013

Decision-Theoretic Approximations for Machine Learning.
Proceedings of the IJCAI 2013, 2013

2012
A survey of the state of the art in learning the kernels.
Knowl. Inf. Syst., 2012

New objective functions for social collaborative filtering.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Symbolic Variable Elimination for Discrete and Continuous Graphical Models.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
An unsupervised approach to learn the kernel functions: from global influence to local similarity.
Neural Comput. Appl., 2011


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