Spain

ECAI 2020

On the Interpretation of Convolutional Neural Networks for Text Classification

convolutional neural network

model interpretability

text classification

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

technical paper

JND-GAN: Human-Vision-Systems Inspired Generative Adversarial Networks for Image-to-Image Translation

Multi-Label Learning with Deep Forest

Directional Adversarial Training for Recommender Systems

A Lightweight Recurrent Attention Network for Real-time Guidewire Segmentation and Tracking in Interventional X-ray Fluoroscopy

Continual egocentric object recognition

OpenSMax: Unknown Domain Generation Algorithm Detection

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

A Two-Stage Multi-Objective Deep Reinforcement Learning Framework

https://d3smihljt9218e.cloudfront.net/transcript/970/subtitle/ce1ca12c02eeea478fca7674a7d1c5e8.vtt

English (automatic)

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JND-GAN: Human-Vision-Systems Inspired Generative Adversarial Networks for Image-to-Image Translation

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Next from ECAI 2020

JND-GAN: Human-Vision-Systems Inspired Generative Adversarial Networks for Image-to-Image Translation

Similar lecture

Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks

Downloads