recurrent network

Paper Group ANR 35

Paper Group ANR 35

April 3, 2020

Feature-Driven Super-Resolution for Object Detection. Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks. Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound. VQA-LOL: Visual Question Answering under the Lens of Logic. Quantum Computing Assisted Deep Learning fo …
Paper Group ANR 38

Paper Group ANR 38

April 3, 2020

Towards Real-time Mispronunciation Detection in Kids’ Speech. The Operating System of the Neuromorphic BrainScaleS-1 System. Lipreading using Temporal Convolutional Networks. Learning Similarity Metrics for Numerical Simulations. Non-dimensional Star-Identification. Improving Training on Noisy Stuctured Labels. Disentangling Image Distortions in De …
Paper Group AWR 11

Paper Group AWR 11

April 3, 2020

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data. Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. Common-Knowledge Concept Recognition for SEVA. AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”. Sketch Less for More: On-the-Fly Fine-Grained Sketch Based …
Paper Group AWR 12

Paper Group AWR 12

April 3, 2020

Comparing recurrent and convolutional neural networks for predicting wave propagation. Entity Context and Relational Paths for Knowledge Graph Completion. Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement. P …
Paper Group AWR 21

Paper Group AWR 21

April 3, 2020

Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. Counter-example Guided Learning of Bounds on Environment Behavior. Multi-Level Representation Learning for Deep Subspace Clustering. Co-occurrence of deep convolutional featu …
Paper Group AWR 22

Paper Group AWR 22

April 3, 2020

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 …
Paper Group AWR 39

Paper Group AWR 39

April 3, 2020

A Dataset of German Legal Documents for Named Entity Recognition. Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. Listwise Learning to Rank by Exploring Unique Ratings. VerSe: A Vertebrae Labelling and Segmentation Benchmark. Probabilistic Regression for Visual Tracking. Instance Credibili …
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 74

Paper Group AWR 74

April 3, 2020

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. Statistical power for cluster analysis. Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. Synonymous Generalization in Sequence-to-Sequence Recurrent Networks. CRYSPNet: Crystal Structure Predictions via Neural Network. NYTWIT: A Dataset o …
Paper Group ANR 118

Paper Group ANR 118

April 2, 2020

Closed-loop Parameter Identification of Linear Dynamical Systems through the Lens of Feedback Channel Coding Theory. A Big Data Enabled Channel Model for 5G Wireless Communication Systems. Learning Cross-domain Generalizable Features by Representation Disentanglement. Meta Segmentation Network for Ultra-Resolution Medical Images. Variational infere …
Paper Group ANR 148

Paper Group ANR 148

April 2, 2020

Image denoising via K-SVD with primal-dual active set algorithm. XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning. Joint Reasoning for Multi-Faceted Commonsense Knowledge. Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods. Training a U-Net based o …
Paper Group ANR 149

Paper Group ANR 149

April 2, 2020

A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. Learning to See Analogies: A Connectionist Exploration. Vox2Vox: 3D-GAN for Brain Tumour Segmentation. DeLTra: Deep Light Transport for Projector-Camera Systems. Stable variation in multidimensional competition. Submodular Rank Aggregation on Score-based Permut …
Paper Group ANR 224

Paper Group ANR 224

April 2, 2020

Normalizing Flows on Tori and Spheres. Provably Efficient Adaptive Approximate Policy Iteration. How Much Position Information Do Convolutional Neural Networks Encode?. Prior-enlightened and Motion-robust Video Deblurring. Gender Genetic Algorithm in the Dynamic Optimization Problem. Computer-inspired Quantum Experiments. Real-World Human-Robot Col …
Paper Group ANR 234

Paper Group ANR 234

April 2, 2020

Using machine learning to speed up new and upgrade detector studies: a calorimeter case. Predicting Stock Returns with Batched AROW. Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding. An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem. SAFE: Scalable Automatic Featu …
Paper Group ANR 238

Paper Group ANR 238

April 2, 2020

Learning models of quantum systems from experiments. SwapText: Image Based Texts Transfer in Scenes. Everybody’s Talkin’: Let Me Talk as You Want. A working likelihood approach to support vector regression with a data-driven insensitivity parameter. Planning with Brain-inspired AI. Causal Inference With Selectively-Deconfounded Data. Learning to Le …
Paper Group ANR 288

Paper Group ANR 288

April 2, 2020

A4 : Evading Learning-based Adblockers. Orchestrating NLP Services for the Legal Domain. U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation. Semi-Local 3D Lane Detection and Uncertainty Estimation. Sparsity in Optimal Randomized Classification Trees. Dense Crowds Detection and Surveillance with Dron …
Paper Group ANR 296

Paper Group ANR 296

April 2, 2020

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam. Interference and Generalization in Temporal Difference Learning. tfp.mcmc: Modern Markov Chain Mo …
Paper Group ANR 298

Paper Group ANR 298

April 2, 2020

Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation. A Structured Approach to Trustworthy Autonomous/Cognitive Systems. Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image. The Human Visual System and Adversarial AI. Imputing Missing Boarding Stations With Machine Learning Meth …
Paper Group ANR 437

Paper Group ANR 437

April 1, 2020

Accelerating and Improving AlphaZero Using Population Based Training. PDS: Deduce Elder Privacy from Smart Homes. Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images. LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. Beyond Application End-Point Resu …
Paper Group ANR 452

Paper Group ANR 452

April 1, 2020

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey. A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows. 3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans. Interaction Graphs for Object Importance Estimation in On-road Driving Videos. LA …
Paper Group ANR 474

Paper Group ANR 474

April 1, 2020

Deep Markov Spatio-Temporal Factorization. Machine learning on DNA-encoded libraries: A new paradigm for hit-finding. CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. Scaling MAP-Elites to Deep Neuroevolution. Convolutional Neural Network Pruning Using Filter Attenuation. Multi …
Paper Group ANR 505

Paper Group ANR 505

April 1, 2020

ReluDiff: Differential Verification of Deep Neural Networks. DeepFake Detection: Current Challenges and Next Steps. Taking a hint: How to leverage loss predictors in contextual bandits?. FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. Decentralized Multi-player Multi-armed Bandits with No Collision Information. Near-linear …
Paper Group ANR 511

Paper Group ANR 511

April 1, 2020

Combating False Negatives in Adversarial Imitation Learning. Domain-Adversarial and -Conditional State Space Model for Imitation Learning. CO-Optimal Transport. A Probabilistic Framework for Imitating Human Race Driver Behavior. Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. Experimental Studies in …
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 118

Paper Group NANR 118

April 1, 2020

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning. Continual Density Ratio Estimation (CDRE): A new method for evaluating generative models in continual learning. Contrastive Representation Distillation. Information-Theoretic Local Minima Characterization and Regularization. Efficient Training of Robust and Verifiable Neural …
Paper Group NANR 127

Paper Group NANR 127

April 1, 2020

Learning scalable and transferable multi-robot/machine sequential assignment planning via graph embedding. Learning Generative Models using Denoising Density Estimators. Invertible generative models for inverse problems: mitigating representation error and dataset bias. XD: Cross-lingual Knowledge Distillation for Polyglot Sentence Embeddings. A Bi …
Paper Group NANR 17

Paper Group NANR 17

April 1, 2020

Logic and the 2-Simplicial Transformer. Variational Diffusion Autoencoders with Random Walk Sampling. Manifold Learning and Alignment with Generative Adversarial Networks. Poisoning Attacks with Generative Adversarial Nets. Locality and Compositionality in Zero-Shot Learning. Off-Policy Actor-Critic with Shared Experience Replay. Unsupervised Learn …
Paper Group NANR 48

Paper Group NANR 48

April 1, 2020

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. Hypermodels for Exploration. SpikeGrad: An ANN-equiv …