Graph Classification

Paper Group ANR 69

Paper Group ANR 69

April 3, 2020

Stochastic Calibration of Radio Interferometers. Optimal least-squares solution to the hand-eye calibration problem. Mask & Focus: Conversation Modelling by Learning Concepts. Automatic Estimation of Sphere Centers from Images of Calibrated Cameras. Multi-frequency calibration for DOA estimation with distributed sensors. On the Role of Dataset Qual …
Paper Group ANR 7

Paper Group ANR 7

April 3, 2020

3DPIFCM Novel Algorithm for Segmentation of Noisy Brain MRI Images. Fast and robust multiplane single molecule localization microscopy using deep neural network. MPM: Joint Representation of Motion and Position Map for Cell Tracking. The Pragmatic Turn in Explainable Artificial Intelligence (XAI). Confidence Scores Make Instance-dependent Label-noi …
Paper Group AWR 27

Paper Group AWR 27

April 3, 2020

Discrete Action On-Policy Learning with Action-Value Critic. TAdam: A Robust Stochastic Gradient Optimizer. Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images. To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. Negative Margin Matters: Understanding Margin in Few-shot Classification. …
Paper Group AWR 42

Paper Group AWR 42

April 3, 2020

Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning. DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior. Parsing as Pretraining. Segmented Graph-Bert for Graph Instance Modeling. Structured Prediction with Partial Labelling through the Infimum Loss. A Bayesian algo …
Paper Group AWR 47

Paper Group AWR 47

April 3, 2020

Margin Maximization as Lossless Maximal Compression. Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. Global Context-Aware Progressive Aggre …
Paper Group AWR 50

Paper Group AWR 50

April 3, 2020

The Reciprocal Bayesian LASSO. Certified Defenses for Adversarial Patches. Training Binary Neural Networks using the Bayesian Learning Rule. AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. Tidying Deep Saliency Prediction Architectures. Directional Deep Embedding and Appearance Learning for Fast Video Object Segment …
Paper Group AWR 55

Paper Group AWR 55

April 3, 2020

RobBERT: a Dutch RoBERTa-based Language Model. Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models. On the Texture Bias for Few-Shot CNN Segmentation. AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Netwo …
Paper Group AWR 64

Paper Group AWR 64

April 3, 2020

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. Snippext: Semi-supervised Opinion Mining with Augmented Data. Bayesian task embedding for few-shot Bayesian optimization. Reconstruction of 3D flight trajectories from ad-hoc camera networks. Harmonic Convolutional Networks based on Discrete Cosine Transform. Lig …
Paper Group AWR 66

Paper Group AWR 66

April 3, 2020

M2m: Imbalanced Classification via Major-to-minor Translation. Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways. Learn to Design the Heuristics for Vehicle Routing Problem. Graph Neural Distance Metric Learning with Graph-Bert. Sound Event Detection with Depthwise Separable and Dilated Convolutions. Regiona …
Paper Group AWR 77

Paper Group AWR 77

April 3, 2020

Review-guided Helpful Answer Identification in E-commerce. Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework. Inference for Batched Bandits. Transformation Importance with Applications to Cosmology. Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. Pixel-Level Self-Paced Learning for Super-Resolu …
Paper Group ANR 150

Paper Group ANR 150

April 2, 2020

Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond. Towards Precise Intra-camera Supervised Person Re-identification. Label Noise Types and Their Effects on Deep Learning. Person Re-identification by Contour Sketch under Moderate Clothing Change. Convolutional Neural Networks based Focal Loss for Class Imbalance Probl …
Paper Group ANR 166

Paper Group ANR 166

April 2, 2020

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society. Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. Learning Near Optimal Policies with Low Inherent Bellman Error. Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration. Bridge the Domain Gap Betwe …
Paper Group ANR 200

Paper Group ANR 200

April 2, 2020

MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities. What is the optimal depth for deep-unfolding architectures at deployment?. Optimizing Black-box Metrics with Adaptive Surrogates. Graph Attentional Autoencoder for Anticancer Hyperfood Prediction. Adversarial Imitation Attack. On the adversarial robustness …
Paper Group ANR 260

Paper Group ANR 260

April 2, 2020

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning. Multilevel Acyclic Hypergraph Partitioning. Undersensitivity in Neural Reading Comprehension. Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. Practical Fast Gradient Sign Attack a …
Paper Group ANR 287

Paper Group ANR 287

April 2, 2020

Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection. Dimension-free convergence rates for gradient Langevin dynamics in RKHS. DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. Topological Descriptors Help Predict Guest Adsorption …
Paper Group ANR 339

Paper Group ANR 339

April 2, 2020

Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction. DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models. Designing Network Design Spaces. Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. Structure-Feature based Graph Self-adaptive Pooling. A Multiclass Classification Approach t …
Paper Group ANR 497

Paper Group ANR 497

April 1, 2020

Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches. Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting. Introducing Aspects of Creativity in Automatic Poetry Generation. Does label smoothing mitigate label noise?. Bypassing the Monster: A Faster and …
Paper Group ANR 518

Paper Group ANR 518

April 1, 2020

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees. FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. The large learning rate phase of deep learning: the catapult mechanism. Semi-Supervised StyleGAN for Disentanglement Learning. Global and Local Feature L …
Paper Group NANR 1

Paper Group NANR 1

April 1, 2020

Recurrent Neural Networks are Universal Filters. Anomalous Pattern Detection in Activations and Reconstruction Error of Autoencoders. Improved Generalization Bound of Permutation Invariant Deep Neural Networks. Domain-Invariant Representations: A Look on Compression and Weights. Zeno++: Robust Fully Asynchronous SGD. Collaborative Generated Hashing …
Paper Group NANR 101

Paper Group NANR 101

April 1, 2020

Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling. Discovering Motor Programs by Recomposing Demonstrations. Representing Unordered Data Using Multiset Automata and Complex Numbers. Evaluating Lossy Compression Rates of Deep Generative Models. Attentive Sequential Neural Processes. Controlling generative models with continuou …
Paper Group NANR 121

Paper Group NANR 121

April 1, 2020

Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses. Combining graph and sequence information to learn protein representations. A Simple and Scalable Shape Representation for 3D Reconstruction. Self-labelling via simultaneous clustering and representation learning. Multiplicative Interactions and Where to Find Them. Ind …
Paper Group NANR 2

Paper Group NANR 2

April 1, 2020

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. VAENAS: Sampling Matters in Neural Architecture Search. Contextual Temperature for Language Modeling. Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction. Flexible and Efficient Long-Range Plannin …
Paper Group NANR 25

Paper Group NANR 25

April 1, 2020

GRASPEL: GRAPH SPECTRAL LEARNING AT SCALE. Neural Networks for Principal Component Analysis: A New Loss Function Provably Yields Ordered Exact Eigenvectors. AMRL: Aggregated Memory For Reinforcement Learning. Adjustable Real-time Style Transfer. Counterfactuals uncover the modular structure of deep generative models. Semi-Implicit Back Propagation. …
Paper Group NANR 30

Paper Group NANR 30

April 1, 2020

Parallel Scheduled Sampling. OBJECT-ORIENTED REPRESENTATION OF 3D SCENES. HaarPooling: Graph Pooling with Compressive Haar Basis. Meta-Q-Learning. Towards Understanding the Transferability of Deep Representations. Switched linear projections and inactive state sensitivity for deep neural network interpretability. Stochastically Controlled Compositi …
Paper Group NANR 34

Paper Group NANR 34

April 1, 2020

Prestopping: How Does Early Stopping Help Generalization Against Label Noise?. Transferring Optimality Across Data Distributions via Homotopy Methods. Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. Coloring graph neural networks for node disambiguation. SMiRL: Surprise Minimizing RL in Entropic Environments. Vis …
Paper Group NANR 44

Paper Group NANR 44

April 1, 2020

Transferable Recognition-Aware Image Processing. Towards a Speech Recognizer for Komi, an Endangered and Low-Resource Uralic Language. PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. COPHY: Counterfactual Learning of Phys …
Paper Group NANR 45

Paper Group NANR 45

April 1, 2020

Recurrent Event Network : Global Structure Inference Over Temporal Knowledge Graph. IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. Subgraph Attention for Node Classification and Hierarchical Graph Pooling. Empowering Graph Representation Learning with Paired Training and Graph Co-Attention. MxPool: Multiplex …
Paper Group NANR 46

Paper Group NANR 46

April 1, 2020

A Simple Technique to Enable Saliency Methods to Pass the Sanity Checks. Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. How can we generalise learning distributed representations of graphs?. Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. Attacking Graph …