31. Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures
    2022/04/11 by Giovanni Bonetta, Matteo Ribero, Bonetta, Giovanni +3 · 2 citations
    Computer Science · Mathematics · #Algorithm #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computation and Language (cs.CL) #Computer science #Deep learning #Deep neural networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generalization #Machine Learning and Data Classification #Machine learning #Mathematics #Neural Networks and Applications #Norm (philosophy) #Pruning #Regularization (linguistics)
32. Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation
    2022/03/01 by Xiang Hu, Haitao Mi, Hu, Xiang +5 · 2 citations
    Computer Science · #Algorithm #Artificial intelligence #Computation and Language (cs.CL) #Computer science #Encoder #FOS: Computer and information sciences #Inference #Language model #Natural Language Processing Techniques #Parser combinator #Parsing #Pattern recognition (psychology) #Pruning #Sentence #Speech and dialogue systems #Topic Modeling
33. Few-shot Backdoor Defense Using Shapley Estimation
    2021/12/30 by Jiyang Guan, Zhuozhuo Tu, Guan, Jiyang +5 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial intelligence #Backdoor #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer security #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #Exploit #FOS: Computer and information sciences #Inference #Machine learning #Neural and Evolutionary Computing (cs.NE) #Pruning #Robustness (evolution)
34. Anomaly Rule Detection in Sequence Data
    2021/11/29 by Wensheng Gan, Lili Chen, Li-Li Chen +9 · 3 citations
    Computer Science · #Anomaly (physics) #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial Intelligence (cs.AI) #Artificial intelligence #Baseline (sea) #Computer science #Data mining #Databases (cs.DB) #FOS: Computer and information sciences #Focus (optics) #Network Security and Intrusion Detection #Outlier #Pattern recognition (psychology) #Pruning #Scalability #Sequence (biology) #Set (abstract data type) #Time Series Analysis and Forecasting #cs.AI #cs.DB
35. Dynamically pruning segformer for efficient semantic segmentation
    2021/11/18 by Haoli Bai, Hongda Mao, Bai, Haoli +3 · 5 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Computation #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Edge device #FLOPS #FOS: Computer and information sciences #Image Enhancement Techniques #Image segmentation #Machine Learning (cs.LG) #Machine learning #Obstacle #Parallel computing #Pruning #Segmentation #Transformer #cs.CV #cs.LG
36. AlphaGarden: Learning to Autonomously Tend a Polyculture Garden
    2021/11/11 by Mark Presten, Presten, Mark, Yahav Avigal +21 · 1 voice
    Agricultural and Biological Sciences · Computer Science · Engineering · #Agricultural engineering #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Biology #Canopy #Code (set theory) #Computer science #Diversity (politics) #Ecology #Engineering #Environmental science #FOS: Computer and information sciences #Fish <Actinopterygii> #Greenhouse Technology and Climate Control #Horticulture #Irrigation Practices and Water Management #Machine learning #Overhead (engineering) #Polyculture #Pruning #Robotics (cs.RO) #Smart Agriculture and AI #Tea garden #Testbed #Track (disk drive) #World Wide Web #cs.AI #cs.RO
37. Layer-wise Pruning of Transformer Attention Heads for Efficient Language\n Modeling
    2021/10/07 by Kyuhong Shim, Shim, Kyuhong, Iksoo Choi +5 · 3 citations
    Computer Science · Engineering · #Algorithm #Artificial intelligence #Benchmark (surveying) #Computation #Computation and Language (cs.CL) #Computer science #Engineering #FOS: Computer and information sciences #Language model #Machine learning #Natural Language Processing Techniques #Perplexity #Pruning #Speech Recognition and Synthesis #Topic Modeling #Transformer #cs.CL
38. Precision fruit tree pruning using a learned hybrid vision/interaction controller
    2021/09/27 by Alexander You, You, Alexander, Hannah Kolano +7 · 5 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · #Artificial intelligence #Computer science #Computer vision #Control (management) #Control engineering #Control theory (sociology) #Controller (irrigation) #Engineering #FOS: Computer and information sciences #Machine vision #Mathematics #Plant and Fungal Interactions Research #Point (geometry) #Pruning #Representation (politics) #Robot #Robotics (cs.RO) #Smart Agriculture and AI #Tree (set theory) #Tree Root and Stability Studies #cs.RO
39. Where do Models go Wrong? Parameter-Space Saliency Maps for\n Explainability
    2021/08/03 by Roman Levin, R. V. Levin, Levin, Roman +10 · 1 voice · 1 citation
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Explainable Artificial Intelligence (XAI) #Image (mathematics) #Machine Learning in Healthcare #Mathematics #Parameter space #Pattern recognition (psychology) #Physics #Pruning #Saliency map #Salient #Sample (material) #Space (punctuation) #Statistics
40. Only Train Once: A One-Shot Neural Network Training And Pruning Framework
    2021/07/15 by Tianyi Chen, Bo Ji, Chen, Tianyi +18 · 1 voice · 12 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Deep neural networks #Domain Adaptation and Few-Shot Learning #FLOPS #Heuristic #Inference #Invariant (physics) #Machine learning #Mathematics #Parallel computing #Partition (number theory) #Pruning #Speedup #Stochastic Gradient Optimization Techniques #cs.LG
41. CDFI: Compression-Driven Network Design for Frame Interpolation
    2021/03/18 by Tianyu Ding, Ding, Tianyu, Luming Liang +5 · 3 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Algorithm #Artificial intelligence #Code (set theory) #Compression (physics) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Engineering #FOS: Computer and information sciences #Frame (networking) #Image Processing Techniques and Applications #Image warping #Interpolation (computer graphics) #Pruning #Range (aeronautics) #Telecommunications #cs.CV
42. A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees
    2021/02/06 by Fredrik Westling, James Underwood, Westling, Fredrik +3 · 1 citation
    Agricultural and Biological Sciences · Computer Science · Engineering · Mathematics · #Artificial intelligence #Biology #Botany #Canopy #Computer Vision and Pattern Recognition (cs.CV) #Computer science #FOS: Computer and information sciences #FOS: Electrical engineering #Horticultural and Viticultural Research #Horticulture #Image and Video Processing (eess.IV) #Mathematics #Orchard #Plant Physiology and Cultivation Studies #Point cloud #Pruning #Tree (set theory) #Tree Root and Stability Studies #Tree canopy #cs.CV #eess.IV #electronic engineering #information engineering
43. Parameter-Efficient Transfer Learning with Diff Pruning
    2020/12/14 by Demi Guo, Alexander M. Rush, Guo, Demi +3 · 56 citations
    Computer Science · #Artificial intelligence #Benchmark (surveying) #Computer science #Differentiable function #Domain Adaptation and Few-Shot Learning #Machine learning #Multimodal Machine Learning Applications #Pruning #Ranging #Set (abstract data type) #Task (project management) #Topic Modeling #Transfer of learning #cs.CL #cs.LG
44. Text-based RL Agents with Commonsense Knowledge: New Challenges,\n Environments and Baselines
    2020/10/08 by Keerthiram Murugesan, Mattia Atzeni, Murugesan, Keerthiram +15 · 2 citations
    Computer Science · #Affordance #Artificial Intelligence (cs.AI) #Artificial intelligence #Baseline (sea) #Commonsense knowledge #Commonsense reasoning #Computation and Language (cs.CL) #Computer science #Context (archaeology) #FOS: Computer and information sciences #Human–computer interaction #Knowledge-based systems #Machine Learning (cs.LG) #Natural Language Processing Techniques #Pruning #Reinforcement Learning in Robotics #Reinforcement learning #Topic Modeling #cs.AI #cs.CL #cs.LG
45. ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
    2020/07/07 by Xiaohan Ding, Tianxiang Hao, Ding, Xiaohan +11 · 8 citations
    Computer Science · Engineering · Mathematics · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Data compression #Domain Adaptation and Few-Shot Learning #FLOPS #FOS: Computer and information sciences #FOS: Electrical engineering #Forgetting #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Lossless compression #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Merge (version control) #Parallel computing #Pruning #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering #stat.ML
46. Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in\n Chest X-rays
    2020/04/15 by Sivaramakrishnan Rajaraman, Rajaraman, Sivaramakrishnan, Jen Siegelman +12 · 1 citation
    Computer Science · Engineering · Mathematics · Medicine · #AI in cancer detection #Artificial intelligence #Biology #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Convolutional neural network #Coronavirus disease 2019 (COVID-19) #Deep learning #Disease #Ensemble forecasting #Ensemble learning #FOS: Computer and information sciences #FOS: Electrical engineering #Feature (linguistics) #Generalization #I.1.2 #I.1.4 #I.1.5 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Medicine #Modality (human–computer interaction) #Pathology #Pattern recognition (psychology) #Pruning #Radiomics and Machine Learning in Medical Imaging #Transfer of learning #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering #stat.ML
47. Pruned Neural Networks are Surprisingly Modular
    2020/03/10 by Daniel Filan, Shlomi Hod, Filan, Daniel +7 · 1 voice · 1 citation
    Computer Science · Materials Science · #Artificial intelligence #Artificial neural network #Cluster analysis #Computer science #Deep neural networks #Machine Learning and ELM #Machine Learning in Materials Science #Machine learning #Modular design #Modular neural network #Modularity (biology) #Neural Networks and Applications #Pattern recognition (psychology) #Perceptron #Programming language #Pruning #Theoretical computer science #Time delay neural network #cs.LG #cs.NE
48. Proving the Lottery Ticket Hypothesis: Pruning is All You Need
    2020/02/03 by Eran Malach, Malach, Eran, Gilad Yehudai +6 · 2 voices · 38 citations
    Computer Science · Materials Science · Mathematics · #Algorithm #Artificial intelligence #Bounded function #Combinatorics #Computer network #Computer science #Lottery #Machine Learning and Algorithms #Machine Learning in Materials Science #Mathematics #Parameterized complexity #Pruning #Statistics #Stochastic Gradient Optimization Techniques #Subnetwork #Ticket #cs.LG #stat.ML
49. Exploiting Operation Importance for Differentiable Neural Architecture Search
    2019/11/24 by Xukai Xie, Xie, Xukai, Yuan Zhou +4 · 3 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Algorithm #Architecture #Artificial intelligence #Artificial neural network #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Differentiable function #Domain Adaptation and Few-Shot Learning #Exploit #FOS: Computer and information sciences #Machine learning #Mathematics #Network architecture #Pruning #Representation (politics) #State (computer science) #cs.CV
50. Accelerating CNN Training by Pruning Activation Gradients
    2019/08/01 by Xucheng Ye, Pengcheng Dai, Ye, Xucheng +11 · 1 citation
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Algorithm #Artificial intelligence #Computer science #Convergence (economics) #Deep learning #Domain Adaptation and Few-Shot Learning #Inference #Machine learning #Pruning #Residual neural network #Training (meteorology) #cs.CV #cs.LG #stat.ML
51. Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?
    2019/07/03 by Xiaolong Ma, Ma, Xiaolong, Sheng Lin +23 · 1 citation
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Algorithm #Application-specific integrated circuit #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computer Vision and Pattern Recognition (cs.CV) #Computer engineering #Computer science #Data compression #Domain Adaptation and Few-Shot Learning #Embedded system #FOS: Computer and information sciences #Lossless compression #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Parallel computing #Pruning #Quantization (signal processing) #Redundancy (engineering) #cs.AI #cs.CV #cs.LG #cs.NE #stat.ML
52. Efficient Subgraph Matching
    2019/06/18 by Myoungji Han, Hyunjoon Kim, Geonmo Gu +2 · 2 citations
    Computer Science · Mathematics · #Graph Theory and Algorithms #Advanced Graph Neural Networks #Complexity and Algorithms in Graphs #Subgraph isomorphism problem #Graph factorization #Computer science #Factor-critical graph #Induced subgraph isomorphism problem #Matching (statistics) #Computation #Theoretical computer science #Pruning #3-dimensional matching #Graph #Spanning tree #Vertex (graph theory) #Algorithm #Mathematics #Line graph #Bipartite graph #Combinatorics #Voltage graph
53. Improved Analysis of Highest-Degree Branching for Feedback Vertex Set
    2019/05/29 by Yoichi Iwata, Iwata, Yoichi, Yusuke Kobayashi +1 · 2 citations
    Computer Science · Mathematics · #Advanced Graph Theory Research #Algorithm #Algorithms and Data Compression #Branching (polymer chemistry) #Combinatorics #Complexity and Algorithms in Graphs #Computer science #Data Structures and Algorithms (cs.DS) #Degree (music) #Discrete mathematics #FOS: Computer and information sciences #Feedback vertex set #Graph #Heuristic #Mathematical optimization #Mathematics #Physics #Pruning #Set (abstract data type) #Vertex (graph theory) #cs.DS
54. The lost dimension: pruned plants in Roman gardens
    2019/04/10 by Kathryn L. Gleason · 1 citation
    Arts and Humanities · Social Sciences · #Ancient Mediterranean Archaeology and History #Archaeology #Archaeology and Historical Studies #Art #Biology #Classical Antiquity Studies #Digging #Dwarfing #Geography #Habit #Horticulture #Natural (archaeology) #Ornamental plant #Painting #Pruning #Reign #Rootstock #Visual arts
55. Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
    2019/02/15 by Hesham Mostafa, Mostafa, Hesham, Xin Wang +1 · 12 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Convolutional neural network #Deep learning #Deep neural networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generalization #Initialization #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine learning #Mathematics #Neural Networks and Applications #Pruning #cs.LG #stat.ML
56. Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
    2018/08/21 by Yang He, He, Yang, Guoliang Kang +7 · 30 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Algorithm #Artificial intelligence #Artificial neural network #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Convolutional neural network #Deep learning #Domain Adaptation and Few-Shot Learning #FLOPS #FOS: Computer and information sciences #Filter (signal processing) #Inference #Machine learning #Parallel computing #Pruning #cs.CV
57. Differences in lumbar motor neuron pruning in an animal model of early onset spasticity
    2018/05/02 by Joline E. Brandenburg, Heather M. Gransee, Matthew J. Fogarty +1 · 23 citations
    Medicine · Neuroscience · Psychology · #Anatomy #Biology #Botulinum Toxin and Related Neurological Disorders #Cerebral Palsy and Movement Disorders #Lumbar #Medicine #Motor neuron #Neuron #Neuroscience #Neuroscience and Neuropharmacology Research #Physical medicine and rehabilitation #Pruning #Psychology #Spasticity #Spinal cord
58. Efficient Recurrent Neural Networks using Structured Matrices in FPGAs
    2018/03/20 by Zhe Li, Li, Zhe, Shuo Wang +9 · 1 voice
    Computer Science · Engineering · Mathematics · #Acceleration #Algorithm #Artificial intelligence #Artificial neural network #Blind Source Separation Techniques #Block (permutation group theory) #Circulant matrix #Computer engineering #Computer science #Degradation (telecommunications) #Efficient energy use #Embedded system #Engineering #Field-programmable gate array #Implementation #Mathematics #Neural Networks and Applications #Neural Networks and Reservoir Computing #Parallel computing #Pruning #Recurrent neural network #Representation (politics) #Telecommunications
59. An Error Detection and Correction Framework for Connectomics
    2017/08/08 by Jonathan Zung, Ignacio Tartavull, Zung, Jonathan +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · Mathematics · #Advanced Electron Microscopy Techniques and Applications #Algorithm #Arithmetic #Artificial intelligence #Binary number #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Error detection and correction #FOS: Computer and information sciences #Machine Learning in Materials Science #Mathematics #Merge (version control) #Object (grammar) #Object detection #Pattern recognition (psychology) #Pruning #Segmentation #Task (project management) #cs.CV
60. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
    2016/10/31 by Chen Liang, Liang Chen, Jonathan Berant +9 · 1 voice · 4 citations
    Computer Science · #Artificial intelligence #Artificial neural network #Computer science #Key (lock) #Knowledge base #Language model #Lisp #Machine learning #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Natural language processing #Principle of compositionality #Process (computing) #Programmer #Programming language #Pruning #Sequence (biology) #Task (project management) #Theoretical computer science #Topic Modeling #cs.AI #cs.CL #cs.LG

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