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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)

Exploration strategies for articulatory synthesis of complex syllable onsets Interspeech 2022 Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022 Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis AISTATS 2022 Exploring Frequency Adversarial Attacks for Face Forgery Detection CVPR 2022 Exploring Memorization in Adversarial Training ICLR 2022 Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022 Exploring Multi-task Learning Based Gender Recognition and Age Estimation for Class-imbalanced Data Interspeech 2022 Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022 Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task EMNLP 2022 Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis EMNLP 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NeurIPS 2022 Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework CVPR 2022 Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022 Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing EMNLP 2022 Exploring the Whole Rashomon Set of Sparse Decision Trees NeurIPS 2022 Exponential Family Model-Based Reinforcement Learning via Score Matching NeurIPS 2022 Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks NeurIPS 2022 Exponential Separations in Symmetric Neural Networks NeurIPS 2022 Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks EMNLP 2022 Expressiveness and Approximation Properties of Graph Neural Networks ICLR 2022 Expressive, Variable, and Controllable Duration Modelling in TTS Interspeech 2022 Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability ICLR 2022 Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem AISTATS 2022 Expressivity of Planning with Horn Description Logic Ontologies AAAI 2022 Extended Unconstrained Features Model for Exploring Deep Neural Collapse ICML 2022