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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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Papers (including subtopics)

SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition AAAI 2022 SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering CVPR 2022 Swin Transformer V2: Scaling Up Capacity and Resolution CVPR 2022 Symbolic Learning to Optimize: Towards Interpretability and Scalability ICLR 2022 SymForce: Symbolic Computation and Code Generation for Robotics RSS 2022 Symmetric-Light Photometric Stereo WACV 2022 Symmetry Teleportation for Accelerated Optimization NeurIPS 2022 Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization NeurIPS 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NeurIPS 2022 Synchronous Refinement for Neural Machine Translation ACL 2022 Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm ICML 2022 Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research AutoML 2022 Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities CoNLL 2022 Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective ACL 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NeurIPS 2022 TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search EMNLP 2022 Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022 Tackling Neural Architecture Search With Quality Diversity Optimization AutoML 2022 TACTiS: Transformer-Attentional Copulas for Time Series ICML 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NeurIPS 2022 TAG: Learning Timed Automata from Logs AAAI 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NeurIPS 2022 TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training NeurIPS 2022 Target alignment in truncated kernel ridge regression NeurIPS 2022 Task Discovery: Finding the Tasks that Neural Networks Generalize on NeurIPS 2022