Spain

ECAI 2020

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

fine-grained few-shot classification.

image-to-class deep metric

two-stream input

few-shot learning

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

Dual Rejection Sampling for Wasserstein Auto-Encoders

Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

Feature importance estimation with self-attention networks

Online Learning to Accelerate Neural Network Inference with Traveling Classifiers

Topological Bayesian Optimization with Persistence Diagrams

Convolutional Dictionary Pair Learning Network for Image Representation Learning

A Conditional Perspective on Iterated Contraction

SAI: A Sensible Artificial Intelligence that plays Go

Measurable Counterfactual Local Explanations for Any Classifier

Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks

https://d3smihljt9218e.cloudfront.net/transcript/1157/subtitle/78e649ac4d3b7c91bdaa460e05340b85.vtt

English (automatic)

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

Downloads

Next from ECAI 2020

Dual Rejection Sampling for Wasserstein Auto-Encoders

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Knowledge Distillation for Model-Agnostic Meta-Learning

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification

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Next from ECAI 2020

Dual Rejection Sampling for Wasserstein Auto-Encoders

Similar lecture

Knowledge Distillation for Model-Agnostic Meta-Learning

Downloads