Results 11 to 20 of about 31,077 (302)
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 The pruning objective has recently extended beyond accuracy and sparsity to robustness in language models. Despite this, existing methods struggle to enhance robustness against adversarial attacks when continually increasing model sparsity and require a retraining process.
Jianwei Li 0004 +3 more
openaire +3 more sources
TREE CANOPY PRUNING DOES NOT REGULATE BIENNIAL BEARING IN ”ELSTAR” APPLE (Malus domestica Borkh.) [PDF]
Poljoprivreda, 2004 Four alternative pruning strategies (A– 25 generative buds, B– 50 generative buds, C– 75 generative buds and D–100 generative buds per tree) for Elstar apple cultivar and their possible impact on improvement in productivity were examined in 1999 and 2000.
Nikola Pavičić +3 more
doaj +1 more source
Pruning Optimization over Threshold-Based Historical Continuous Query
Algorithms, 2019 With the increase in mobile location service applications, spatiotemporal queries over the trajectory data of moving objects have become a research hotspot, and continuous query is one of the key types of various spatiotemporal queries. In this paper, we
Jiwei Qin, Liangli Ma, Qing Liu
doaj +2 more sources
Query induction with schema-guided pruning strategies.
J. Mach. Learn. Res., 2013 Inference algorithms for tree automata that define node selecting queries in unranked trees rely on tree pruning strategies. These impose additional assumptions on node selection that are needed to compensate for small numbers of annotated examples. Pruning-based heuristics in query learning algorithms for Web information extraction often boost the ...
Niehren, Joachim +3 more
core +5 more sources
Incomplete Information Game Algorithm Based on Expectimax Search and Double DQN [PDF]
Jisuanji gongcheng, 2021 As a typical incomplete information game, mahjong is mainly realized by the traditional Expectimax search algorithm, whose pruning strategy and valuation function design based on artificial prior knowledge and thus cause unreasonable assumptions and ...
LEI Jiewei, WANG Jiayang, REN Hang, YAN Tianwei, HUANG Wei
doaj +1 more source
Applied Sciences, 2023 Biomedical texts are relatively obscure in describing relations between specialized entities, and the automatic extraction of drug–drug or drug–disease relations from massive biomedical texts presents a challenge faced by many researchers.
Wanli Yang +4 more
doaj +1 more source
An Optimal Constrained Pruning Strategy for Decision Trees [PDF]
INFORMS Journal on Computing, 2009 This paper is concerned with the optimal constrained pruning of decision trees. We present a novel 0–1 programming model for pruning the tree to minimize some general penalty function based on the resulting leaf nodes, and show that this model possesses a totally unimodular structure that enables it to be solved as a shortest-path problem on an ...
Hanif D. Sherali +2 more
openaire +2 more sources
Supervised Robustness-preserving Data-free Neural Network Pruning
, 2023 When deploying pre-trained neural network models in real-world applications, model consumers often encounter resource-constraint platforms such as mobile and smart devices. They typically use the pruning technique to reduce the size and complexity of the
Teo, SG, Meng, MH, Dong, JS, Bai, G
core +1 more source
Three types of forward pruning techniques to apply the alpha beta algorithm to turn-based strategy games [PDF]
, 2016 Turn-based strategy games are interesting testbeds for developing artificial players because their rules present developers with several challenges. Currently, Monte-Carlo tree search variants are often utilized to address these challenges.
Naoyuki Sato +3 more
core +1 more source
Pruning weightless neural networks [PDF]
, 2022 Weightless neural networks (WNNs) are a type of machine learning model which perform prediction using lookup tables (LUTs) instead of arithmetic operations. Recent advancements in WNNs have reduced model sizes and improved accuracies, reducing the gap in
Bacellar, A. T. L. +11 more
core +1 more source