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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

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

DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 Dynamical Linear Bandits ICML 2023 Dynamic Belief for Decentralized Multi-Agent Cooperative Learning IJCAI 2023 Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views EACL 2023 Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023 Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time ICML 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition ICCV 2023 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies CVPR 2023 Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method JMLR 2023 Dynamic Regret of Adversarial Linear Mixture MDPs NeurIPS 2023 Dynamic Regularization in UDA for Transformers in Multimodal Classification ACL 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023 Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting AAAI 2023 Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NeurIPS 2023 Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks NeurIPS 2023 Dynamic Stashing Quantization for Efficient Transformer Training EMNLP 2023 Dynamic Structured Neural Topic Model with Self-Attention Mechanism ACL 2023 Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes NeurIPS 2023 DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers CoRL 2023 E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI MIDL 2023 EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark ICLR 2023 Early Exit with Disentangled Representation and Equiangular Tight Frame ACL 2023 EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems AAAI 2023