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https://arxiv.org/abs/2410.17121 [2410.17121] Connectivity of partial basis complexes of freely decomposable groups Abstract page for arXiv paper 2410.17121: Connectivity of partial basis complexes of freely decomposable groups 2410 17121 connectivity partial basis https://deepai.org/publication/training-over-parameterized-models-with-non-decomposable-objectives Training Over-parameterized Models with Non-decomposable Objectives | DeepAI Jul 9, 2021 - 07/09/21 - Many modern machine learning applications come with complex and nuanced design goals such as minimizing the worst-case error, sati... training parameterized models non decomposable https://openreview.net/forum?id=bGo0A4bJBc Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics | OpenReview Self-training based semi-supervised learning algorithms have enabled the learning of highly accurate deep neural networks, using only a fraction of labeled... cost sensitive self training optimizing https://openreview.net/forum?id=X4WAq7JQHbA Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity |... convex optimization decomposable non smooth https://arxiv.org/abs/2604.18074 [2604.18074] Generalized Howe curves of genus 4, 5, and 6 with completely decomposable Jacobians Abstract page for arXiv paper 2604.18074: Generalized Howe curves of genus 4, 5, and 6 with completely decomposable Jacobians https://www.kth.se/math/kalender/giuseppe-pareschi-two-characterizations-of-decomposable-principally-polarized-abelian-varieties-1.1336054?date=2024-05-08&orgdate=2024-02-13&length=1&orglength=0 Giuseppe Pareschi: Two characterizations of decomposable principally polarized abelian varieties |... principally polarized giuseppe two characterizations decomposable https://github.com/siarez/sentence_pair_classifier GitHub - siarez/sentence_pair_classifier: Tensorflow implementation of Decomposable Attention Model... Tensorflow implementation of Decomposable Attention Model - siarez/sentence_pair_classifier github sentence pair classifier https://deepai.org/publication/decomposable-submodular-function-minimization-via-maximum-flow Decomposable Submodular Function Minimization via Maximum Flow | DeepAI Mar 5, 2021 - 03/05/21 - This paper bridges discrete and continuous optimization approaches for decomposable submodular function minimization, in both the ... submodular function maximum flow decomposable minimization via https://deepai.org/publication/implicit-rate-constrained-optimization-of-non-decomposable-objectives Implicit Rate-Constrained Optimization of Non-decomposable Objectives | DeepAI Jul 23, 2021 - 07/23/21 - We consider a popular family of constrained optimization problems arising in machine learning that involve optimizing a non-decomp... constrained optimization implicit rate non decomposable https://openreview.net/forum?id=HJx-3grYDB Learning Nearly Decomposable Value Functions Via Communication Minimization | OpenReview Reinforcement learning encounters major challenges in multi-agent settings, such as scalability and non-stationarity. Recently, value function factorization... value functions learning nearly decomposable via https://openreview.net/forum?id=iQMvSh2QbK&referrer=%5Bthe%20profile%20of%20Muli%20Yang%5D(%2Fprofile%3Fid%3D~Muli_Yang1) A Decomposable Causal View of Compositional Zero-Shot Learning | OpenReview Composing and recognizing novel concepts that are combinations of known concepts, i.e., compositional generalization, is one of the greatest power of human... zero shot learning decomposable causal view compositional https://deepai.org/publication/consistent-classification-algorithms-for-multi-class-non-decomposable-performance-metrics Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics | DeepAI Jan 1, 2015 - 01/01/15 - We study consistency of learning algorithms for a multi-class performance metric that is a non-decomposable function of the confus... multi class performance metrics consistent classification algorithms https://deepai.org/publication/approximate-decomposable-submodular-function-minimization-for-cardinality-based-components Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components | DeepAI Oct 28, 2021 - 10/28/21 - Minimizing a sum of simple submodular functions of limited support is a special case of general submodular function minimization t... submodular function approximate decomposable minimization cardinality https://arxiv.org/abs/2604.06160v1 [2604.06160v1] The Character Error Vector: Decomposable errors for page-level OCR evaluation Abstract page for arXiv paper 2604.06160v1: The Character Error Vector: Decomposable errors for page-level OCR evaluation https://arxiv.org/abs/0811.4726 [0811.4726] Counting decomposable multivariate polynomials Abstract page for arXiv paper 0811.4726: Counting decomposable multivariate polynomials 0811 4726 counting decomposable multivariate