Co-occurring keywords · papers mentioning both
Papers
Evolutionary Strategies at Scale lead to Catastrophic Forgetting
ACL 2026
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
AAAI 2025
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
AAAI 2025
Generating Freeform Endoskeletal Robots
ICLR 2025
Learning mirror maps in policy mirror descent
ICLR 2025
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
CVPR 2024
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
NeurIPS 2024
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
AAAI 2024
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning
JMLR 2024
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
EMNLP 2024
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
NeurIPS 2023
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
AISTATS 2022
A Minimal Model for Compositional Generalization on gSCAN
EMNLP 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
AutoML 2022
Fast and Efficient Locomotion via Learned Gait Transitions
CoRL 2021
Meta-Learning Bidirectional Update Rules
ICML 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
ICCV 2021
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
NeurIPS 2020
Guided evolutionary strategies: augmenting random search with surrogate gradients
ICML 2019
Contextual Covariance Matrix Adaptation Evolutionary Strategies
IJCAI 2017
CMA-ES with Optimal Covariance Update and Storage Complexity
NeurIPS 2016
DEAP: Evolutionary Algorithms Made Easy
JMLR 2012