tuantran23012000 / PHN-CSF
Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"
☆16Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for PHN-CSF
- [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks☆9Updated 3 months ago
- ☆59Updated 2 months ago
- Recommendation system with actor and critic☆17Updated 2 years ago
- ☆10Updated 3 years ago
- This repository contains the codebase for our accepted paper in the Research Track of KDD'23, titled 'Causal-Inference-via-Style-Transfer…☆22Updated 8 months ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆99Updated 2 years ago
- ☆21Updated 3 months ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆37Updated 3 years ago
- Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.☆25Updated last year
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆11Updated last year
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆56Updated 2 years ago
- ☆31Updated last year
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆62Updated 2 weeks ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆89Updated 2 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆24Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆13Updated 3 months ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆128Updated 4 years ago
- Source codes for our SIGIR '23 paper☆29Updated 11 months ago
- ☆10Updated 2 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆70Updated last year
- ☆25Updated 5 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆24Updated 3 years ago
- ☆22Updated 3 years ago
- Improving Recommendation Fairness via Data Augmentation-WWW23☆12Updated last year
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆13Updated 11 months ago
- This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.☆22Updated last year
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"☆18Updated 2 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆30Updated last year