An onlinel learning to rank python codebase.

Last update: Jul 18, 2022

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Overview

OLTR

Online learning to rank python codebase.

The code related to Pairwise Differentiable Gradient Descent (ranker/PDGDLinearRanker.py) is copied from https://github.com/HarrieO/OnlineLearningToRank

Counterfactual Online Learning to Rank

To reproduce results of our paper "Counterfactual Online Learning to Rank" published at ECIR 2020, run experiments/run_ECIR_COLTR.py.

More information about the paper, please visit our website: http://ielab.io/COLTR

How do Online Learning to Rank Methods Adapt to Changes of Intent?

The datasets and code relate to our paper "How do Online Learning to Rank Methods Adapt to Changes of Intent?" published at SIGIR 2021, go to intent_change/ folder.

More information about the paper, please visit our website: http://ielab.io/intent_change

Owner

ielab

The Information Engineering Lab

GitHub Repository

A Pythonic library for Nvidia Codec.

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Code for ACL2021 paper Consistency Regularization for Cross-Lingual Fine-Tuning.

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Joint Versus Independent Multiview Hashing for Cross-View Retrieval[J] (IEEE TCYB 2021, PyTorch Code)

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Use unsupervised and supervised learning to predict stocks

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Paper: De-rendering Stylized Texts

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Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

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Exploring Machine Learning Models for detecting anomalous behavior in credit-card transactions. It's crucial that credit-card companies are able to recognize fraudulent activity so that customers are not charged for items they didn't purchase.

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Tensorflow implementation of our method: "Triangle Graph Interest Network for Click-through Rate Prediction".

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Code accompanying our NeurIPS 2021 traffic4cast challenge

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Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

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PyTorch implementation of federated learning framework based on the acceleration of global momentum

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