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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
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828
3,646
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2000
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Papers (including subtopics)

“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NeurIPS 2023 Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings UAI 2023 Why Random Pruning Is All We Need to Start Sparse ICML 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Why think step by step? Reasoning emerges from the locality of experience NeurIPS 2023 Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously Interspeech 2023 Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models NeurIPS 2023 Wide stochastic networks: Gaussian limit and PAC-Bayesian training ALT 2023 Width and Depth Limits Commute in Residual Networks ICML 2023 Wiener Guided DIP for Unsupervised Blind Image Deconvolution WACV 2023 Will Large-scale Generative Models Corrupt Future Datasets? ICCV 2023 Window-Based Distribution Shift Detection for Deep Neural Networks NeurIPS 2023 Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023 Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft L4DC 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NeurIPS 2023 Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms ICLR 2023 WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting NeurIPS 2023 WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer AAAI 2023 WL meet VC ICML 2023 “World Knowledge” in Multiple Choice Reading Comprehension EACL 2023 Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis NeurIPS 2023 WRF: Weighted Rouge-F1 Metric for Entity Recognition AACL 2023 X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360deg Insufficient RGB-D Views WACV 2023 Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization ICCV 2023 YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors CVPR 2023