← Learning Types
Deep Learning › Learning Types ›

Optimization

13 directly classified papers

Papers per year

Papers

Accelerated Test-Time Scaling with Model-Free Speculative Sampling EMNLP 2025
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NIPS 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels NIPS 2024
Scale-invariant Learning by Physics Inversion NIPS 2022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NIPS 2022
Joint inference and input optimization in equilibrium networks NIPS 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021
ContactOpt: Optimizing Contact To Improve Grasps CVPR 2021
An Empirical Investigation of Beam-Aware Training in Supertagging EMNLP 2020
Joint Texture and Geometry Optimization for RGB-D Reconstruction CVPR 2020