tuantran23012000 / PHN-CSF
Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"
☆16Updated 7 months ago
Alternatives and similar repositories for PHN-CSF:
Users that are interested in PHN-CSF are comparing it to the libraries listed below
- [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks☆9Updated 7 months ago
- ☆68Updated 6 months ago
- Recommendation system with actor and critic☆17Updated 2 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆14Updated 8 months ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆12Updated 2 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆101Updated 2 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆14Updated 2 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆135Updated 5 years ago
- Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.☆24Updated 2 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆38Updated 3 years ago
- ☆34Updated last year
- ☆22Updated last month
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.☆24Updated last year
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆92Updated 3 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆49Updated 4 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 3 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆58Updated last year
- From Implicit to Explicit Feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online us…Updated last year
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆86Updated this week
- Improving Recommendation Fairness via Data Augmentation-WWW23☆13Updated last year
- A unified framework for recommender system attacking☆28Updated last year
- Implement Fair Recommendation Model In RecBole☆25Updated 2 years ago
- FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback☆15Updated 2 years ago
- ☆19Updated 6 months ago
- ☆39Updated last year
- RecBole-MetaRec is an extended module for RecBole, which aims to help researchers to compare and develop their own models in the meta lea…☆24Updated 2 years ago
- ☆17Updated last year