online learning

254 papers with code • 0 benchmarks • 0 datasets

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Use these libraries to find online learning models and implementations

Most implemented papers

DeepWalk: Online Learning of Social Representations

PaddlePaddle/PaddleRec 26 Mar 2014

We present DeepWalk, a novel approach for learning latent representations of vertices in a network.

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

HumanCompatibleAI/airl 2 Nov 2010

Sequential prediction problems such as imitation learning, where future observations depend on previous predictions (actions), violate the common i. i. d.

Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping

EmergentSystemLabStudent/SpCoSLAM 15 Apr 2017

We have proposed a nonparametric Bayesian spatial concept acquisition model (SpCoA).

Agglomerative Likelihood Clustering

tehraio/potts-model-clustering 2 Aug 2019

We consider the problem of fast time-series data clustering.

Towards Easier and Faster Sequence Labeling for Natural Language Processing: A Search-based Probabilistic Online Learning Framework (SAPO)

lancopku/SAPO 29 Mar 2015

We show that this method with fast training and theoretical guarantee of convergence, which is easy to implement, can support search-based optimization and obtain top accuracy.

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

cair/pyTsetlinMachine 11 May 2020

Here, we address the accuracy-interpretability challenge in machine learning by equipping the TM clauses with integer weights.

Online Learning Rate Adaptation with Hypergradient Descent

gbaydin/hypergradient-descent ICLR 2018

We introduce a general method for improving the convergence rate of gradient-based optimizers that is easy to implement and works well in practice.

Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping

a-taniguchi/SpCoSLAM2 9 Mar 2018

We propose a novel online learning algorithm, called SpCoSLAM 2. 0, for spatial concepts and lexical acquisition with high accuracy and scalability.

Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence

kclip/FL-SNN 21 Oct 2019

To this end, we introduce an online FL-based learning rule for networked on-device SNNs, which we refer to as FL-SNN.

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

wang-chen/interestingness ECCV 2020

In this paper, we explore the problem of interesting scene prediction for mobile robots.