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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)

SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024 SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization AAAI 2024 SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NeurIPS 2024 SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation CVPR 2024 SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects CVPR 2024 SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution ICLR 2024 Search for Efficient Large Language Models NeurIPS 2024 Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NeurIPS 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024 Second Order Methods for Bandit Optimization and Control COLT 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024 Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners CVPR 2024 SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases ICLR 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 Selective Explanations NeurIPS 2024 Selectively Answering Visual Questions ACL 2024 Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching CVPR 2024 Self-adaptive PSRO: Towards an Automatic Population-based Game Solver IJCAI 2024 Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models NAACL 2024 Self-attention Networks Localize When QK-eigenspectrum Concentrates ICML 2024 Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes ICML 2024 Self-Calibrating Conformal Prediction NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources ICML 2024