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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)

TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023 TLM: Token-Level Masking for Transformers EMNLP 2023 To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing EMNLP 2023 Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Tokenization and the Noiseless Channel ACL 2023 Tokenization with Factorized Subword Encoding ACL 2023 Token-Level Self-Evolution Training for Sequence-to-Sequence Learning ACL 2023 Top-k data selection via distributed sample quantile inference L4DC 2023 Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes ICML 2023 Topology-aware Robust Optimization for Out-of-Distribution Generalization ICLR 2023 TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs NSDI 2023 TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models NeurIPS 2023 TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection Interspeech 2023 TorchOpt: An Efficient Library for Differentiable Optimization JMLR 2023 To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis NeurIPS 2023 TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer ICCV 2023 To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning NeurIPS 2023 TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection AAAI 2023 Tournaments, Johnson Graphs and NC-Teaching ALT 2023 Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms NeurIPS 2023 Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search WACV 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling AISTATS 2023 Toward Large Kernel Models ICML 2023