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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Scaling Law for Document Neural Machine Translation EMNLP 2023 Scaling Laws for a Multi-Agent Reinforcement Learning Model ICLR 2023 Scaling Laws for BERT in Low-Resource Settings ACL 2023 Scaling Laws For Deep Learning Based Image Reconstruction ICLR 2023 Scaling Laws for Discriminative Speech Recognition Rescoring Models Interspeech 2023 Scaling Laws for Generative Mixed-Modal Language Models ICML 2023 Scaling Laws for Hyperparameter Optimization NeurIPS 2023 Scaling Laws for Multilingual Neural Machine Translation ICML 2023 Scaling Laws for Reward Model Overoptimization ICML 2023 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 Scaling MLPs: A Tale of Inductive Bias NeurIPS 2023 Scaling of Class-wise Training Losses for Post-hoc Calibration ICML 2023 Scaling Riemannian Diffusion Models NeurIPS 2023 Scaling Up Models and Data with t5x and seqio JMLR 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer NeurIPS 2023 Scattering Vision Transformer: Spectral Mixing Matters NeurIPS 2023 ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering ICCV 2023 Schelling Games with Continuous Types IJCAI 2023 SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data AAAI 2023 Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data ICML 2023 Score-balanced Loss for Multi-aspect Pronunciation Assessment Interspeech 2023 Score-based Continuous-time Discrete Diffusion Models ICLR 2023 Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023