Adapting Grad-CAM for Embedding Networks. Fast Sequence-Based Embedding with Diffusion Graphs. Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU. Learning Deformable Registration of Medical Images with Anatomical Constraints. Estimating Counterfactual Treatment Outcomes over Time Through Advers …

Advbox: a toolbox to generate adversarial examples that fool neural networks. On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. Inductive Document Network Embedding with Topic-Word Attention. Explaining Away Attacks Against Neural Networks. Predicting Many Properties of a Quantum System from Very Few Measurements. Mu …

Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. Overview of the TREC 2019 deep learning track. Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions. Using Dis …

Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels. Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks. Citation Recommendation: Approaches and Datasets. DAF-NET: a saliency based weakly supervise …

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. Temporal Network Representation Learning via Historical Neighborhoods Aggregation. RNE: A Scalable Network Embedding for Billion-scale Recommendation. DeBayes: a Bayesian method for debiasing network embeddings. A Node Embedding Framework for Integration of Similarity …

Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images. Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach. Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. Top-K Training of GANs: Improving Generators by Making Critics …

Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction. Ensembles of Deep Neural Networks for Action Recognition in Still Images. Learning similarity measures from data. Posterior Ratio Estimation for Latent Variables. Learning Spatiotemporal Features via Video and Text Pair Discrimination. Future Video …

EPINE: Enhanced Proximity Information Network Embedding. A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. Self-Supervised Graph Representation Learning via Global Context Prediction. Robust Gaussian …

Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks. Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. Towards Ground Truth Evaluation of Visual Explanations. Coupled Tensor Completion via Low-rank Tensor Ring. Adversarial Deep Network Embedding for Cross-network …

aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. Shared Mobile-Cloud Inference for Collaborative Intelligence. Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything. Imbalance Learning for Variable Star Classi …

Geometry and Topology of Deep Neural Networks’ Decision Boundaries. Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization. Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization. Generalized sampling with functional principal components for high-resolution rando …

LUNAR: Cellular Automata for Drifting Data Streams. Deep Representation Learning for Dynamical Systems Modeling. A spatio-temporalisation of ALC(D) and its translation into alternating automata augmented with spatial constraints. A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data. Stochastic I …

Rotation, Translation, and Cropping for Zero-Shot Generalization. ALPINE: Active Link Prediction using Network Embedding. A Block-based Generative Model for Attributed Networks Embedding. Cross-modal variational inference for bijective signal-symbol translation. Scalable Multi-Task Imitation Learning with Autonomous Improvement. Metric-Based Imitat …

Star-Convexity in Non-Negative Matrix Factorization. Domain Adaptive Multiflow Networks. Connectivity-constrained interactive annotations for panoptic segmentation. Learning to Move with Affordance Maps. AdvCodec: Towards A Unified Framework for Adversarial Text Generation. Multi-task Network Embedding with Adaptive Loss Weighting. OPTIMAL TRANSPOR …

Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations. NAS evaluation is frustratingly hard. Discourse-Based Evaluation of Language Understanding. Meta-learning curiosity algorithms. Black-box Adversarial Attacks with Bayesian Optimization. Neural Tangents: Fast and Easy Infinite Neural Networks in …

Encoder-Agnostic Adaptation for Conditional Language Generation. LEARNED STEP SIZE QUANTIZATION. Deep Graph Translation. RPGAN: random paths as a latent space for GAN interpretability. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Composition-based Multi-Relational Graph Convolutional Networks. Argus: Efficient …