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Optimization & Theory

7,804 papers (27 classified directly here)

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1,352
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Papers (including subtopics)

Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023 Fixed Input Parameterization for Efficient Prompting ACL 2023 Fixed-Weight Difference Target Propagation AAAI 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023 FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023 Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification EMNLP 2023 Focus Your Attention (with Adaptive IIR Filters) EMNLP 2023 ForestPrune: Compact Depth-Pruned Tree Ensembles AISTATS 2023 FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation ICML 2023 FRA-RIR: Fast Random Approximation of the Image-source Method Interspeech 2023 From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks COLT 2023 FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks AAAI 2023 Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods ICML 2023 Gaussian Mixture Solvers for Diffusion Models NeurIPS 2023 Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge NSDI 2023 Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations NeurIPS 2023 Generalization and Estimation Error Bounds for Model-based Neural Networks ICLR 2023 Generalization bounds for neural ordinary differential equations and deep residual networks NeurIPS 2023 Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023 Generalized Differentiable RANSAC ICCV 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 Genie: Show Me the Data for Quantization CVPR 2023 GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023 GEQ: Gaussian Kernel Inspired Equilibrium Models NeurIPS 2023 Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis AAAI 2023