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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)

Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge WACV 2024 Word Alignment as Preference for Machine Translation EMNLP 2024 WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024 Working Memory Capacity of ChatGPT: An Empirical Study AAAI 2024 Wormhole Loss for Partial Shape Matching NeurIPS 2024 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NeurIPS 2024 Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NeurIPS 2024 WRP: Weight Recover Prune for Structured Sparsity ACL 2024 wTIMIT2mix: A Cocktail Party Mixtures Database to Study Target Speaker Extraction for Normal and Whispered Speech Interspeech 2024 WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts CVPR 2024 XferBench: a Data-Driven Benchmark for Emergent Language NAACL 2024 X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling IJCAI 2024 XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection ACL 2024 You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024 Your contrastive learning problem is secretly a distribution alignment problem NeurIPS 2024 Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint) AAAI 2024 Your Transformer is Secretly Linear ACL 2024 You’ve Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction RSS 2024 Zero Bubble (Almost) Pipeline Parallelism ICLR 2024 ZeRO++: Extremely Efficient Collective Communication for Large Model Training ICLR 2024 ZeroRF: Fast Sparse View 360deg Reconstruction with Zero Pretraining CVPR 2024 Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization ICML 2024 Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles ICLR 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024