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gradient-based optimization

191 papers

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adversarial attack (1599) gradient descent (1143) large language model (12755) few-shot learning (3390) neural network (6616) hyperparameter optimization (405) neural architecture search (665) gradient optimization (57) discrete optimization (145) multi-objective optimization (357)

Papers

Decision-Focused Learning with Directional Gradients NIPS 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NIPS 2024
GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints NIPS 2023
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023
Algorithmic Collective Action in Machine Learning ICML 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning IJCAI 2023
One-Shot Model for Mixed-Precision Quantization CVPR 2023
Global Optimality in Bivariate Gradient-based DAG Learning NIPS 2023
BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023
Trial matching: capturing variability with data-constrained spiking neural networks NIPS 2023
Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition WACV 2023
Revisiting Sampling for Combinatorial Optimization ICML 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NIPS 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023
Differentiable Multi-Target Causal Bayesian Experimental Design ICML 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023
A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023
Plateau-Reduced Differentiable Path Tracing CVPR 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources NIPS 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima JMLR 2023