Object Classification

Paper Group ANR 50

Paper Group ANR 50

April 3, 2020

MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition. Curvature Regularized Surface Reconstruction from Point Cloud. Highly Efficient Salient Object Detection with 100K Parameters. Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. Preparation of ordered states in ultra-cold …
Paper Group AWR 10

Paper Group AWR 10

April 3, 2020

High-Dimensional Feature Selection for Genomic Datasets. Localized Flow-Based Clustering in Hypergraphs. Train Scheduling with Hybrid Answer Set Programming. Regression via Implicit Models and Optimal Transport Cost Minimization. Context Based Emotion Recognition using EMOTIC Dataset. Decentralized Learning for Channel Allocation in IoT Networks ov …
Paper Group AWR 4

Paper Group AWR 4

April 3, 2020

Masked Face Recognition Dataset and Application. PrivacyFL: A simulator for privacy-preserving and secure federated learning. Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol. A Machine Learning alternative to placebo-controlled clinical trials upon new diseases: A primer. DSGN: Deep Stereo Geometry Network …
Paper Group AWR 51

Paper Group AWR 51

April 3, 2020

Semantic-based End-to-End Learning for Typhoon Intensity Prediction. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. Invariant Rationalization. Non-Adversarial Video Synthesis with Learned Priors. StageNet: Stage-Aware Neural Networks for Health Risk Prediction. Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible …
Paper Group ANR 103

Paper Group ANR 103

April 2, 2020

Input Dropout for Spatially Aligned Modalities. On- Device Information Extraction from Screenshots in form of tags. Generating Representative Headlines for News Stories. DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning. A Compr …
Paper Group ANR 125

Paper Group ANR 125

April 2, 2020

Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging. IROF: a low resource evaluation metric for explanation methods. Accelerating Deep Learning Inference via Freezing. High-Order Paired-ASPP Networks for Semantic Segmenation. Asymmetric Rejection Loss for Fairer Face Recognition. An Approach for T …
Paper Group ANR 145

Paper Group ANR 145

April 2, 2020

FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. Toward Low-Cost and Stable Blockchain Networks. A Novel Image Dehazing and Assessment Method. Deep-Learning-Enabled Simulated Annealing for Topology Optimizat …
Paper Group ANR 181

Paper Group ANR 181

April 2, 2020

Product Kanerva Machines: Factorized Bayesian Memory. CTM: Collaborative Temporal Modeling for Action Recognition. Machine Unlearning: Linear Filtration for Logit-based Classifiers. A Hoeffding Inequality for Finite State Markov Chains and its Applications to Markovian Bandits. Blur, Noise, and Compression Robust Generative Adversarial Networks. Bi …
Paper Group ANR 208

Paper Group ANR 208

April 2, 2020

Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. Permutohedral-GCN: Graph Convolutional Networks with Global Attention. Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. Explainable Deep Classification Models for Domain Generalization. Error Estimation for Sketched SVD via th …
Paper Group ANR 249

Paper Group ANR 249

April 2, 2020

Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks. NCVis: Noise Contrastive Approach for Scalable Visualization. Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. MAC Protocol Design Optimization Using Deep Learning. The Rumour Mill: Making the Spread of Misinformation Explicit an …
Paper Group ANR 267

Paper Group ANR 267

April 2, 2020

Geometric Fusion via Joint Delay Embeddings. Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos. Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. multi-patch aggregation models for resampling detection. Longitudinal Support Vector Machines for High Dimensional …
Paper Group ANR 332

Paper Group ANR 332

April 2, 2020

Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling. Ecological Semantics: Programming Environments for Situated Language Understanding. Attention-guided Chained Context Aggregation for Semantic Segmentation. Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds. Towards Interpretable Seman …
Paper Group ANR 343

Paper Group ANR 343

April 2, 2020

Defense against adversarial attacks on spoofing countermeasures of ASV. Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances. Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson’s disease patients. A Speaker Verification Backend for Improved Calibration Performa …
Paper Group ANR 88

Paper Group ANR 88

April 2, 2020

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization. Learning to Multi-Task Learn for Better Neural Machine Translation. Gated Graph Recurrent Neural Networks. Interactive Robot Trainin …
Paper Group ANR 97

Paper Group ANR 97

April 2, 2020

Breast lesion segmentation in ultrasound images with limited annotated data. Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN. Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks. Neighborhood Structure Assisted Non-negative Matrix Factorization a …
Paper Group ANR 407

Paper Group ANR 407

April 1, 2020

Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions. NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. Faster SVM Training via Conjugate SMO. Intent Classification in Question-Answering Using LSTM Architectures. Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual …
Paper Group ANR 409

Paper Group ANR 409

April 1, 2020

Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions. Machine Translation System Selection from Bandit Feedback. Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces. Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solita …
Paper Group ANR 448

Paper Group ANR 448

April 1, 2020

A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks. Translating Diffusion, Wavelets, and Regularisation into Residual Networks. Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. Handling the Positive-Definite Constraint in the Bayesian Learning Rule. A Tutorial on Learni …
Paper Group NANR 117

Paper Group NANR 117

April 1, 2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. Masked Based Unsupervised Content Transfer. Wasserstein Adversarial Regularization (WAR) on label noise. Understanding and Improving Information Transfer in Multi-Task Learning. On the Pareto Efficiency of Quantized CNN. Spike-based causal inference for …
Paper Group NANR 128

Paper Group NANR 128

April 1, 2020

Tree-structured Attention Module for Image Classification. Contrastive Multiview Coding. Training a Constrained Natural Media Painting Agent using Reinforcement Learning. Principled Weight Initialization for Hypernetworks. Frustratingly easy quasi-multitask learning. Improving Visual Relation Detection using Depth Maps. On Evaluating Explainability …
Paper Group NANR 16

Paper Group NANR 16

April 1, 2020

Compressive Recovery Defense: A Defense Framework for $\ell_0, \ell_2$ and $\ell_\infty$ norm attacks.. Exploring Cellular Protein Localization Through Semantic Image Synthesis. Latent Variables on Spheres for Sampling and Inference. Sequence-level Intrinsic Exploration Model for Partially Observable Domains. Perceptual Regularization: Visualizing …
Paper Group NANR 27

Paper Group NANR 27

April 1, 2020

BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation. WHAT DATA IS USEFUL FOR MY DATA: TRANSFER LEARNING WITH A MIXTURE OF SELF-SUPERVISED EXPERTS. Siamese Attention Networks. Mixture Density Networks Find Viewpoint the Dominant Factor for Accurate Spatial Offset Regression. MULTI-STAGE INFLUENCE FUNCTION. GraphMix: Regularized Tr …
Paper Group NANR 29

Paper Group NANR 29

April 1, 2020

OvA-INN: Continual Learning with Invertible Neural Networks. Building Deep Equivariant Capsule Networks. Beyond Classical Diffusion: Ballistic Graph Neural Network. Masked Translation Model. Unsupervised Video-to-Video Translation via Self-Supervised Learning. Progressive Knowledge Distillation For Generative Modeling. Semi-Supervised Few-Shot Lear …
Paper Group NANR 49

Paper Group NANR 49

April 1, 2020

Diving into Optimization of Topology in Neural Networks. Stabilizing Transformers for Reinforcement Learning. Aggregating explanation methods for neural networks stabilizes explanations. Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems. Attributed Graph Learning with 2-D Graph Convolution. Chordal-GC …
Paper Group NANR 66

Paper Group NANR 66

April 1, 2020

FR-GAN: Fair and Robust Training. Learning Video Representations using Contrastive Bidirectional Transformer. Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models. Certified Robustness to Adversarial Label-Flipping Attacks via Randomized Smoothing. Exploration via Flow-Based Intrinsic Rewards. Robust Domain R …
Paper Group NANR 74

Paper Group NANR 74

April 1, 2020

Angular Visual Hardness. The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. A multi-task U-net for segmentation with lazy labels. Mint: Matrix-Interleaving for Multi-Task Learning. Gradient Surgery for Multi-Task Learning. Multi-Dimensional Explanation of Reviews. Underwhelming Generalizatio …
Paper Group NANR 87

Paper Group NANR 87

April 1, 2020

PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS. Learning transport cost from subset correspondence. On Robustness of Neural Ordinary Differential Equations. Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?. Sign Bits Are All You Need for Black-Box Attacks. Biologically inspired sleep algorithm for inc …