Methods › General › Model Compression › Pruning › Papers, page 36

Pruning

Papers archive 2025-07-28

archive papers tagged: 3,874 · with a code link: 1,508 · where Syntology ran a sample: 478 (395 with a run with no instrument failure, 83 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (478 of 3,874 tagged: 395 with a run with no instrument failure, 83 where every run was a failure of Syntology's instrument)

Page 36 of 39: papers 3,501 to 3,600 of 3,874, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
  6 Jun 2019 · 0 repositories · arXiv:1906.02768
• Uncertainty-guided Continual Learning with Bayesian Neural Networks
  6 Jun 2019 · 2 repositories · arXiv:1906.02425
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 8 unverified (of 11 harvested samples)
• Cost-sensitive Boosting Pruning Trees for depression detection on Twitter
  2 Jun 2019 · 1 repository · arXiv:1906.00398
• Multi-Objective Pruning for CNNs Using Genetic Algorithm
  2 Jun 2019 · 0 repositories · arXiv:1906.00399
• A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks
  1 Jun 2019 · 0 repositories
• Compressing Convolutional Neural Networks via Factorized Convolutional Filters
  1 Jun 2019 · 1 repository
• Variational Convolutional Neural Network Pruning
  1 Jun 2019 · 0 repositories
• Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques
  31 May 2019 · 0 repositories · arXiv:1906.01078
• Learning Sparse Networks Using Targeted Dropout
  31 May 2019 · 2 repositories · arXiv:1905.13678
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
  30 May 2019 · 0 repositories · arXiv:1905.13074
• OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
  28 May 2019 · 1 repository · arXiv:1905.11664
• Online Filter Clustering and Pruning for Efficient Convnets
  28 May 2019 · 0 repositories · arXiv:1905.11787
• SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
  28 May 2019 · 0 repositories · arXiv:1905.12107
• Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches
  28 May 2019 · 0 repositories · arXiv:1906.08866
• CGaP: Continuous Growth and Pruning for Efficient Deep Learning
  27 May 2019 · 0 repositories · arXiv:1905.11533
• Efficient Network Construction through Structural Plasticity
  27 May 2019 · 0 repositories · arXiv:1905.11530
• Are Sixteen Heads Really Better than One?
  25 May 2019 · 4 repositories · arXiv:1905.10650
• Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
  24 May 2019 · 0 repositories · arXiv:1905.10138
• Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
  23 May 2019 · 1 repository · arXiv:1905.09418
• Pruning-Aware Merging for Efficient Multitask Inference
  23 May 2019 · 0 repositories · arXiv:1905.09676
• Network Pruning via Transformable Architecture Search
  23 May 2019 · 4 repositories · arXiv:1905.09717
• On Pruning for Score-Based Bayesian Network Structure Learning
  23 May 2019 · 1 repository · arXiv:1905.09943
• Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces
  23 May 2019 · 1 repository · arXiv:1905.09449
• Revisiting hard thresholding for DNN pruning
  21 May 2019 · 0 repositories · arXiv:1905.08793
• Sparse Transfer Learning via Winning Lottery Tickets
  19 May 2019 · 1 repository · arXiv:1905.07785
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Investigating Channel Pruning through Structural Redundancy Reduction -- A Statistical Study
  16 May 2019 · 0 repositories · arXiv:1905.06498
• Dynamic Neural Network Channel Execution for Efficient Training
  15 May 2019 · 0 repositories · arXiv:1905.06435
• EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
  15 May 2019 · 1 repository · arXiv:1905.05934
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples)
• Network Pruning for Low-Rank Binary Indexing
  14 May 2019 · 0 repositories · arXiv:1905.05686
• Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems
  14 May 2019 · 0 repositories · arXiv:1905.06234
• BayesNAS: A Bayesian Approach for Neural Architecture Search
  13 May 2019 · 0 repositories · arXiv:1905.04919
• Implicit Filter Sparsification In Convolutional Neural Networks
  13 May 2019 · 0 repositories · arXiv:1905.04967
• Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
  12 May 2019 · 1 repository · arXiv:1905.04748
• Play and Prune: Adaptive Filter Pruning for Deep Model Compression
  11 May 2019 · 1 repository · arXiv:1905.04446
• Compressing Weight-updates for Image Artifacts Removal Neural Networks
  10 May 2019 · 0 repositories · arXiv:1905.04079
• Robust Dense Mapping for Large-Scale Dynamic Environments
  7 May 2019 · 0 repositories · arXiv:1905.02781
• Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices
  6 May 2019 · 0 repositories · arXiv:1905.01787
• Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars
  2 May 2019 · 0 repositories · arXiv:1905.00689
• DEEP-TRIM: REVISITING L1 REGULARIZATION FOR CONNECTION PRUNING OF DEEP NETWORK
  1 May 2019 · 0 repositories
• Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
  1 May 2019 · 0 repositories
• Globally Soft Filter Pruning For Efficient Convolutional Neural Networks
  1 May 2019 · 0 repositories
• Integral Pruning on Activations and Weights for Efficient Neural Networks
  1 May 2019 · 0 repositories
• INTERPRETABLE CONVOLUTIONAL FILTER PRUNING
  1 May 2019 · 0 repositories
• Learning Internal Dense But External Sparse Structures of Deep Neural Network
  1 May 2019 · 0 repositories
• Learning to Search Efficient DenseNet with Layer-wise Pruning
  1 May 2019 · 0 repositories
• Mean Replacement Pruning
  1 May 2019 · 0 repositories
• PCNN: Environment Adaptive Model Without Finetuning
  1 May 2019 · 0 repositories
• PRUNING IN TRAINING: LEARNING AND RANKING SPARSE CONNECTIONS IN DEEP CONVOLUTIONAL NETWORKS
  1 May 2019 · 0 repositories
• PRUNING WITH HINTS: AN EFFICIENT FRAMEWORK FOR MODEL ACCELERATION
  1 May 2019 · 0 repositories
• Selective Convolutional Units: Improving CNNs via Channel Selectivity
  1 May 2019 · 0 repositories
• Single Shot Neural Architecture Search Via Direct Sparse Optimization
  1 May 2019 · 0 repositories
• ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
  30 Apr 2019 · 0 repositories · arXiv:1905.00136
• Towards Efficient Model Compression via Learned Global Ranking
  28 Apr 2019 · 1 repository · arXiv:1904.12368
  Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples) · 1 pointer-only (licence)
• Learning to Prune: Speeding up Repeated Computations
  26 Apr 2019 · 0 repositories · arXiv:1904.11875
• Characterization of Glue Variables in CDCL SAT Solving
  25 Apr 2019 · 0 repositories · arXiv:1904.11106
• Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
  24 Apr 2019 · 0 repositories · arXiv:1904.10921
• Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
  22 Apr 2019 · 2 repositories · arXiv:1904.09872
• Data Priming Network for Automatic Check-Out
  10 Apr 2019 · 0 repositories · arXiv:1904.04978
• L₀-ARM: Network Sparsification via Stochastic Binary Optimization
  9 Apr 2019 · 1 repository · arXiv:1904.04432
• ASAP: Architecture Search, Anneal and Prune
  8 Apr 2019 · 1 repository · arXiv:1904.04123
• Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure
  8 Apr 2019 · 1 repository · arXiv:1904.03837
• Filter Pruning by Switching to Neighboring CNNs with Good Attributes
  8 Apr 2019 · 0 repositories · arXiv:1904.03961
• C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning
  6 Apr 2019 · 0 repositories · arXiv:1904.03508
• M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
  3 Apr 2019 · 0 repositories · arXiv:1904.01769
• LUTNet: Rethinking Inference in FPGA Soft Logic
  1 Apr 2019 · 2 repositories · arXiv:1904.00938
• Multimodal Sparse Classifier for Adolescent Brain Age Prediction
  1 Apr 2019 · 0 repositories · arXiv:1904.01070
• Adversarial Robustness vs Model Compression, or Both?
  29 Mar 2019 · 1 repository · arXiv:1903.12561
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
  27 Mar 2019 · 10 repositories · arXiv:1903.11728
• Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
  27 Mar 2019 · 0 repositories · arXiv:1903.11277
• Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning
  25 Mar 2019 · 1 repository · arXiv:1904.02654
• MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
  25 Mar 2019 · 2 repositories · arXiv:1903.10258
  Syntology official: harvested, nothing ran · 0 ran · 2 unverified (of 2 harvested samples)
• Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
  23 Mar 2019 · 2 repositories · arXiv:1903.09769
• Enhancing Generalization of First-Order Meta-Learning
  22 Mar 2019 · 0 repositories
• Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
  22 Mar 2019 · 1 repository · arXiv:1903.09291
• Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks
  19 Mar 2019 · 1 repository · arXiv:1903.08072
• A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
  17 Mar 2019 · 2 repositories · arXiv:1903.07138
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Cascaded Projection: End-to-End Network Compression and Acceleration
  12 Mar 2019 · 0 repositories · arXiv:1903.04988
• Continual Learning via Neural Pruning
  11 Mar 2019 · 0 repositories · arXiv:1903.04476
• FastDepth: Fast Monocular Depth Estimation on Embedded Systems
  8 Mar 2019 · 1 repository · arXiv:1903.03273
  Syntology 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 11 harvested samples)
• Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
  8 Mar 2019 · 1 repository · arXiv:1903.03472
• On the Quantization of Cellular Neural Networks for Cyber-Physical Systems
  5 Mar 2019 · 0 repositories · arXiv:1903.02048
• Stabilizing the Lottery Ticket Hypothesis
  5 Mar 2019 · 3 repositories · arXiv:1903.01611
• Multi-loss-aware Channel Pruning of Deep Networks
  27 Feb 2019 · 0 repositories · arXiv:1902.10364
• The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
  25 Feb 2019 · 0 repositories · arXiv:1902.09238
• The State of Sparsity in Deep Neural Networks
  25 Feb 2019 · 6 repositories · arXiv:1902.09574
• Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
  22 Feb 2019 · 0 repositories · arXiv:1902.08455
• Performance study of distributed Apriori-like frequent itemsets mining
  21 Feb 2019 · 0 repositories · arXiv:1903.03008
• Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
  18 Feb 2019 · 0 repositories · arXiv:1902.06382
• Speeding up convolutional networks pruning with coarse ranking
  18 Feb 2019 · 0 repositories · arXiv:1902.06385
• Evaluating Pruning Methods in Gene Network Inference
  16 Feb 2019 · 0 repositories · arXiv:1902.06028
• Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
  15 Feb 2019 · 0 repositories · arXiv:1902.05967
• Binary Stochastic Filtering: a Method for Neural Network Size Minimization and Supervised Feature Selection
  12 Feb 2019 · 1 repository · arXiv:1902.04510
• Effective Network Compression Using Simulation-Guided Iterative Pruning
  12 Feb 2019 · 0 repositories · arXiv:1902.04224
• A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints
  5 Feb 2019 · 0 repositories · arXiv:1902.01534
• MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
  3 Feb 2019 · 0 repositories · arXiv:1902.00918
• An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
  2 Feb 2019 · 0 repositories · arXiv:1902.00592
• VrR-VG: Refocusing Visually-Relevant Relationships
  1 Feb 2019 · 0 repositories · arXiv:1902.00313
• PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration
  26 Jan 2019 · 1 repository · arXiv:1901.09290
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 5 harvested samples)
• Really should we pruning after model be totally trained? Pruning based on a small amount of training
  24 Jan 2019 · 0 repositories · arXiv:1901.08455
• Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
  23 Jan 2019 · 1 repository · arXiv:1901.07827