Title
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 93 80 0 12 Jun 2021
MlTr: Multi-label Classification with Transformer Xingyi Cheng Hezheng Lin Xiangyu Wu Fan Yang Dong Shen Zhongyuan Wang Nian Shi Honglin Liu ViT 51 50 0 11 Jun 2021
Temporal and Object Quantification Networks Jiayuan Mao Zhezheng Luo Chuang Gan J. Tenenbaum Jiajun Wu L. Kaelbling T. Ullman NAI 63 3 0 10 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 141 76 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 92 1 0 10 Jun 2021
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling Chuizheng Meng Sirisha Rambhatla Yan Liu FedML 91 127 0 09 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 70 48 0 09 Jun 2021
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos Lele Luan Yang Liu Hao Sun PINN AI4CE 45 0 0 09 Jun 2021
A Survey of Transformers Tianyang Lin Yuxin Wang Xiangyang Liu Xipeng Qiu ViT 197 1,147 0 08 Jun 2021
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles O. Ganea L. Pattanaik Connor W. Coley Regina Barzilay K. Jensen W. Green Tommi Jaakkola AI4CE 98 137 0 08 Jun 2021
Breaking the Limits of Message Passing Graph Neural Networks M. Balcilar Pierre Héroux Benoit Gaüzère Pascal Vasseur Sébastien Adam P. Honeine 88 128 0 08 Jun 2021
Time-series Imputation of Temporally-occluded Multiagent Trajectories Shayegan Omidshafiei Daniel Hennes M. Garnelo Eugene Tarassov Zhe Wang ... Jerome T. Connor Paul Muller I. Graham W. Spearman K. Tuyls AI4TS 58 5 0 08 Jun 2021
What training reveals about neural network complexity Andreas Loukas Marinos Poiitis Stefanie Jegelka 70 11 0 08 Jun 2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising Xiangyu Liu Chuan Yu Zhilin Zhang Zhenzhe Zheng Yu Rong ... Dagui Chen Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu 84 65 0 07 Jun 2021
Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers A. I. Parkes J. Camilleri D. Hudson Adam Sobey 98 0 0 07 Jun 2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning Ali Taghibakhshi S. MacLachlan Luke N. Olson Matthew West AI4CE 59 31 0 03 Jun 2021
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation Yechao Bai Ziyuan Huang Lyuyu Shen Hongliang Guo Marcelo H. Ang Jr Daniela Rus SSeg 18 4 0 03 Jun 2021
Convergent Graph Solvers Junyoung Park J. Choo Jinkyoo Park 74 13 0 03 Jun 2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines Matthew A. Wright Joseph E. Gonzalez 84 23 0 02 Jun 2021
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning Junyoung Park J. Chun Sang Hun Kim Youngkook Kim Jinkyoo Park GNN 60 219 0 02 Jun 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection Yuxin Fang Bencheng Liao Xinggang Wang Jiemin Fang Jiyang Qi Rui Wu Jianwei Niu Wenyu Liu ViT 80 326 0 01 Jun 2021
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports Brandon Victor Aiden Nibali Zhen He D. Carey 34 9 0 01 Jun 2021
$$\ell_2$-norm Flow Diffusion in Near-Linear Time$ $\ell_2$ -norm Flow Diffusion in Near-Linear Time Li Chen Richard Peng Di Wang 33 0 0 30 May 2021
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs F. Wilhelmi David G´oez Paola Soto Ramon Vall´es Mohammad Alfaiﬁ ... Jorge Martin-P´erez L. Girletti Rajasekar Mohan Venkat Ramnan B. Bellalta 29 8 0 29 May 2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning Rohan Chitnis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 127 54 0 28 May 2021
Symmetry-driven graph neural networks Francesco Farina E. Slade 68 4 0 28 May 2021
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation Keren Ye Adriana Kovashka 64 54 0 28 May 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 121 131 0 27 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 87 190 0 27 May 2021
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations G. Panapitiya Michael Girard Aaron Hollas V. Murugesan Wei Wang Emily Saldanha 42 49 0 26 May 2021
Learning Modular Robot Control Policies Julian Whitman Matthew Travers Howie Choset 64 44 0 20 May 2021
Visual FUDGE: Form Understanding via Dynamic Graph Editing Brian L. Davis B. Morse Brian L. Price Chris Tensmeyer Curtis Wigington AI4CE 83 20 0 17 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire Together Thomas Schumacher 70 4 0 17 May 2021
Latent Event-Predictive Encodings through Counterfactual Regularization Dania Humaidan S. Otte Christian Gumbsch Charley M. Wu Martin Volker Butz CML BDL AI4TS 87 2 0 12 May 2021
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty Fanfei Chen Paul Szenher Yewei Huang Jinkun Wang Tixiao Shan Shi Bai Brendan Englot 63 13 0 11 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Hanyu Wang Charu C. Aggarwal Jiliang Tang 59 1 0 10 May 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks Lukas Harsch S. Riedelbauch AI4CE 83 13 0 06 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus Michal Rolínek Vít Musil Brandon Amos Georg Martius 92 62 0 05 May 2021
Learning 3D Granular Flow Simulations Andreas Mayr Sebastian Lehner A. Mayrhofer C. Kloss Sepp Hochreiter Johannes Brandstetter AI4CE 33 2 0 04 May 2021
Traffic signal prediction on transportation networks using spatio-temporal correlations on graphs Semin Kwak Nikolas Geroliminis P. Frossard AI4TS 34 5 0 27 Apr 2021
Graph Neural Networks for Traffic Forecasting João Rico J. Barateiro Arlindo L. Oliveira AI4TS AI4CE 40 13 0 27 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 109 8 0 21 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 91 6 0 20 Apr 2021
Identifying Driver Interactions via Conditional Behavior Prediction Ekaterina V. Tolstaya R. Mahjourian Carlton Downey Balakrishnan Varadarajan Benjamin Sapp Drago Anguelov 176 72 0 20 Apr 2021
GDDR: GNN-based Data-Driven Routing Oliver Hope Eiko Yoneki GNN 34 24 0 20 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 90 92 0 18 Apr 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan Lyne Tchapmi Bo Long Soumya Sanyal Tanishq Gupta Xiang Ren ReLM LRM 108 11 0 18 Apr 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems Maciej Besta Raghavendra Kanakagiri Grzegorz Kwa'sniewski Rachata Ausavarungnirun Jakub Beránek ... Salvatore Di Girolamo Marek Konieczny Nils Blach O. Mutlu Torsten Hoefler 56 88 0 15 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 88 92 0 14 Apr 2021
Memory Capacity of Recurrent Neural Networks with Matrix Representation Animesh Renanse Alok Sharma Rohitash Chandra 32 1 0 11 Apr 2021