conftrace_

multi-objective optimization

364 papers

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Also known as

MOOP MO MOO

Co-occurring keywords

evolutionary algorithm (264) pareto front (63) bayesian optimization (624) pareto optimization (78) pareto optimal (58) reinforcement learning (4352) large language model (13587) runtime analysis (41) pareto optimality (78) multi-task learning (2575)

Papers

Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021
Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion INTERSPEECH 2021
Model-Agnostic Fast Adaptive Multi-Objective Balancing Algorithm for Multilingual Automatic Speech Recognition Model Training INTERSPEECH 2021
Neural-Driven Search-Based Paraphrase Generation EACL 2021
No-regret Algorithms for Multi-task Bayesian Optimization AISTATS 2021
Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021
A distributional view on multi-objective policy optimization ICML 2020
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract) IJCAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020
Modelling Diversity of Solutions AAAI 2020
An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems AAAI 2020
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines CVPR 2020
Representative Solutions for Bi-Objective Optimisation AAAI 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning ICML 2020
A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks CVPR 2020
Subset Selection by Pareto Optimization with Recombination AAAI 2020
Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework AAAI 2020
Adaptively Multi-Objective Adversarial Training for Dialogue Generation IJCAI 2020
Efficient Continuous Pareto Exploration in Multi-Task Learning ICML 2020
Multi-objective Bayesian Optimization using Pareto-frontier Entropy ICML 2020
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NIPS 2020