Publication

Detecting Road Obstacles by Erasing Them

Related publications (34)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Detecting Road Obstacles by Erasing Them

Graph Chatbot

Chat with Graph Search

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Generalization with Limited and Noisy Labels

Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis

Bayesian reconstruction of memories stored in neural networks from their connectivity

Theory of Deep Learning: Neural Tangent Kernel and Beyond

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Essays in Empirical Asset Pricing

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Generalization Comparison of Deep Neural Networks via Output Sensitivity

Deep Learning Generalization with Limited and Noisy Labels

Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Essays in Empirical Asset Pricing

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Generalization Comparison of Deep Neural Networks via Output Sensitivity

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Bayesian reconstruction of memories stored in neural networks from their connectivity

Theory of Deep Learning: Neural Tangent Kernel and Beyond

An anomaly detection approach for backdoored neural networks: face recognition as a case study