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

CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NIPS 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024
Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024
How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models NAACL 2024
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms AAAI 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization IJCAI 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation IJCAI 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024
Learning Pareto Set for Multi-Objective Continuous Robot Control IJCAI 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales NAACL 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024
Generative Hierarchical Materials Search NIPS 2024
Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization COLING 2024
A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models ACL 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024
Theoretical Study on Multi-objective Heuristic Search IJCAI 2024