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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)

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models ICML 2021 Interpolation can hurt robust generalization even when there is no noise NeurIPS 2021 Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels ICLR 2021 Interpretable Random Forests via Rule Extraction AISTATS 2021 Interpretable Sequence Classification via Discrete Optimization AAAI 2021 Interpretable Stability Bounds for Spectral Graph Filters ICML 2021 Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021 Interpreting and Boosting Dropout from a Game-Theoretic View ICLR 2021 Intraclass clustering: an implicit learning ability that regularizes DNNs ICLR 2021 Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks AAAI 2021 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021 Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NeurIPS 2021 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021 Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NeurIPS 2021 Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control CVPR 2021 Inverse-Weighted Survival Games NeurIPS 2021 Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models Interspeech 2021 Investigating Voice Function Characteristics of Greek Speakers with Hearing Loss Using Automatic Glottal Source Feature Extraction Interspeech 2021 IQDet: Instance-Wise Quality Distribution Sampling for Object Detection CVPR 2021 IrEne: Interpretable Energy Prediction for Transformers ACL 2021 IRM—when it works and when it doesn't: A test case of natural language inference NeurIPS 2021 Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation EMNLP 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021 Isometric Multi-Shape Matching CVPR 2021 Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations CVPR 2021