{"list":"other","total":54,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"1706.02216","title":"Inductive Representation Learning on Large Graphs","created":"2017-06-07","cited_by_count":6320},{"id":"1602.04938","title":"\"Why Should I Trust You?\": Explaining the Predictions of Any Classifier","created":"2016-02-16","cited_by_count":5070},{"id":"1709.01507","title":"Squeeze-and-Excitation Networks","created":"2017-09-05","cited_by_count":4789},{"id":"1409.4842","title":"Going Deeper with Convolutions","created":"2014-09-17","cited_by_count":4241},{"id":"1903.02428","title":"Fast Graph Representation Learning with PyTorch Geometric","created":"2019-03-06","cited_by_count":2434},{"id":"1606.09375","title":"Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering","created":"2016-06-30","cited_by_count":2089},{"id":"1602.07261","title":"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning","created":"2016-02-23","cited_by_count":1512},{"id":"1611.08097","title":"Geometric deep learning: going beyond Euclidean data","created":"2016-11-24","cited_by_count":1048},{"id":"2106.04560","title":"Scaling Vision Transformers","created":"2021-06-08","cited_by_count":999},{"id":"2105.14491","title":"How Attentive are Graph Attention Networks?","created":"2021-05-30","cited_by_count":835},{"id":"1511.05493","title":"Gated Graph Sequence Neural Networks","created":"2015-11-17","cited_by_count":796},{"id":"1312.4400","title":"Network In Network","created":"2013-12-16","cited_by_count":605},{"id":"2106.04803","title":"CoAtNet: Marrying Convolution and Attention for All Data Sizes","created":"2021-06-09","cited_by_count":569},{"id":"1611.08402","title":"Geometric deep learning on graphs and manifolds using mixture model CNNs","created":"2016-11-25","cited_by_count":468},{"id":"1802.04687","title":"Neural Relational Inference for Interacting Systems","created":"2018-02-13","cited_by_count":339},{"id":"1711.04043","title":"Few-Shot Learning with Graph Neural Networks","created":"2017-11-10","cited_by_count":324},{"id":"1704.02901","title":"Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs","created":"2017-04-10","cited_by_count":310},{"id":"1711.11575","title":"Relation Networks for Object Detection","created":"2017-11-30","cited_by_count":305},{"id":"1506.05163","title":"Deep Convolutional Networks on Graph-Structured Data","created":"2015-06-16","cited_by_count":246},{"id":"1511.05298","title":"Structural-RNN: Deep Learning on Spatio-Temporal Graphs","created":"2015-11-17","cited_by_count":234},{"id":"1711.00740","title":"Learning to Represent Programs with Graphs","created":"2017-11-01","cited_by_count":220},{"id":"1808.07962","title":"Learning Human-Object Interactions by Graph Parsing Neural Networks","created":"2018-08-23","cited_by_count":176},{"id":"1711.08920","title":"SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels","created":"2017-11-24","cited_by_count":161},{"id":"1803.08035","title":"Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs","created":"2018-03-21","cited_by_count":155},{"id":"1406.2984","title":"Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation","created":"2014-06-11","cited_by_count":129},{"id":"1910.12861","title":"Deep Learning for Hyperspectral Image Classification: An Overview","created":"2019-10-26","cited_by_count":123},{"id":"1803.03735","title":"Attention-based Graph Neural Network for Semi-supervised Learning","created":"2018-03-10","cited_by_count":101},{"id":"1805.11724","title":"Rethinking Knowledge Graph Propagation for Zero-Shot Learning","created":"2018-05-29","cited_by_count":87},{"id":"1807.10174","title":"Superpixel Sampling Networks","created":"2018-07-26","cited_by_count":79},{"id":"1711.06526","title":"Multi-Label Zero-Shot Learning with Structured Knowledge Graphs","created":"2017-11-17","cited_by_count":72},{"id":"2003.12929","title":"Superpixel Segmentation with Fully Convolutional Networks","created":"2020-03-29","cited_by_count":72},{"id":"1612.04844","title":"The More You Know: Using Knowledge Graphs for Image Classification","created":"2016-12-14","cited_by_count":63},{"id":"1812.03115","title":"Kernel Transformer Networks for Compact Spherical Convolution","created":"2018-12-07","cited_by_count":56},{"id":"1612.01601","title":"Superpixels: An Evaluation of the State-of-the-Art","created":"2016-12-06","cited_by_count":52},{"id":"1904.03177","title":"Structured agents for physical construction","created":"2019-04-05","cited_by_count":50},{"id":"2203.15455","title":"WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit","created":"2022-03-29","cited_by_count":47},{"id":"1603.07063","title":"Semantic Object Parsing with Graph LSTM","created":"2016-03-23","cited_by_count":44},{"id":"1807.00504","title":"Deep Reasoning with Knowledge Graph for Social Relationship Understanding","created":"2018-07-02","cited_by_count":44},{"id":"1510.00098","title":"Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping","created":"2015-10-01","cited_by_count":37},{"id":"1905.06133","title":"Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification","created":"2019-05-14","cited_by_count":31},{"id":"1712.07695","title":"Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth","created":"2017-12-20","cited_by_count":30},{"id":"1511.06739","title":"Superpixel Convolutional Networks using Bilateral Inceptions","created":"2015-11-20","cited_by_count":23},{"id":"1603.03911","title":"Optical Flow with Semantic Segmentation and Localized Layers","created":"2016-03-12","cited_by_count":21},{"id":"1803.07066","title":"Learning Region Features for Object Detection","created":"2018-03-19","cited_by_count":15},{"id":"1905.08409","title":"Convolutions on Spherical Images","created":"2019-05-21","cited_by_count":12},{"id":"1811.09595","title":"Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules","created":"2018-11-23","cited_by_count":9},{"id":"1907.09000","title":"Image Classification with Hierarchical Multigraph Networks","created":"2019-07-21","cited_by_count":7},{"id":"1609.08965","title":"Graph Based Convolutional Neural Network","created":"2016-09-28","cited_by_count":4},{"id":"1909.05310","title":"Spatial Graph Convolutional Networks","created":"2019-09-11","cited_by_count":4},{"id":"1907.05552","title":"Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia","created":"2019-07-12","cited_by_count":3}],"next_cursor":null}