[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group AWR 278
February 1, 2020

Paper Group AWR 278

A JIT Compiler for Neural Network Inference. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches. Temporal Collaborative Ranking Via Personalized Transformer. QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization. Light-weight Calibrator: a Separable Component for Unsupe …

Paper Group AWR 279

Paper Group AWR 279

February 1, 2020

Exploiting temporal consistency for real-time video depth estimation. Unsupervised Single Image Underwater Depth Estimation. Shape Robust Text Detection with Progressive Scale Expansion Network. Segmentation of Roots in Soil with U-Net. Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes. Human Pose Estimation for Real-W …
Paper Group AWR 280

Paper Group AWR 280

February 1, 2020

Multi-scale Dynamic Feature Encoding Network for Image Demoireing. SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. Differentiation of Blackbox Combinatorial Solvers. SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking. Variational Bayesian Decision-making for Continuous Utilities. Boosting …
Paper Group AWR 281

Paper Group AWR 281

February 1, 2020

Kindling the Darkness: A Practical Low-light Image Enhancer. Blind Deblurring Using GANs. Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. Diversified Arbitrary Style Transfer via Deep Feature Perturbation. Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints. Neural Spline Flows. Flickr1024: A Large-S …
Paper Group AWR 282

Paper Group AWR 282

February 1, 2020

Functional Tensors for Probabilistic Programming. Joint Source-Target Self Attention with Locality Constraints. A Game Theoretic Approach to Class-wise Selective Rationalization. ProPublica’s COMPAS Data Revisited. Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. Investigating Evaluation of Open-Domain Dialogue Systems …
Paper Group AWR 283

Paper Group AWR 283

February 1, 2020

A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks. Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. Structured Fusion Networks for Dialog. Deep Residual Output Layers for Neural Languag …
Paper Group AWR 284

Paper Group AWR 284

February 1, 2020

Automated Spectral Kernel Learning. Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. L_DMI: An Information-theoretic Noise-robust Loss Function. Safeguarded Dynamic Label Regression for Generalized Noisy Supervision. Controlling the Amount of Verbatim Copying in Abstractive Summarization. Leveragin …
Paper Group AWR 285

Paper Group AWR 285

February 1, 2020

Deep Fusion Network for Image Completion. Contextual Imagined Goals for Self-Supervised Robotic Learning. Noise Robust Generative Adversarial Networks. Generative Collaborative Networks for Single Image Super-Resolution. How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. RaFM: Rank-Aw …
Paper Group AWR 286

Paper Group AWR 286

February 1, 2020

Mean Spectral Normalization of Deep Neural Networks for Embedded Automation. Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. Interpretable and Steerable Sequence Learning via Prototypes. Patent Citation Dynami …
Paper Group AWR 287

Paper Group AWR 287

February 1, 2020

Exploiting the Redundancy in Convolutional Filters for Parameter Reduction. Animal Detection in Man-made Environments. Evaluating Commonsense in Pre-trained Language Models. Collaborative Translational Metric Learning. A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices. Compressing Gradient Optimizers via Count-Sketches. Ass …
Paper Group AWR 288

Paper Group AWR 288

February 1, 2020

Label Propagation for Deep Semi-supervised Learning. Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. Fully Decoupled Neural Network Learning Using Delayed Gradients. Residual Flows for Invertible Generative Modeling. Embarrassingly Simple Binary Representation Learning. Latent-Variable Non-Autoregressive Neural Machine Transl …
Paper Group AWR 289

Paper Group AWR 289

February 1, 2020

BlenderProc. Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition. Opytimizer: A Nature-Inspired Python Optimizer. WHAM!: Extending Speech Separation to Noisy Environments. Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. ETNet: Error Transition Network for Arbitrary Style Transfer. …
Paper Group AWR 290

Paper Group AWR 290

February 1, 2020

Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems. PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI. Variational Pretraining for Semi-supervised Text Classification. Towards Verified Stochastic Variational Inference for Probabilistic Programs. Po …
Paper Group AWR 291

Paper Group AWR 291

February 1, 2020

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction. CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive …
Paper Group AWR 292

Paper Group AWR 292

February 1, 2020

Equi-normalization of Neural Networks. Complementary-Similarity Learning using Quadruplet Network. Automated shapeshifting for function recovery in damaged robots. Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. Patient Knowledge Distillation for BERT Model Compression. Detecting the Unexpect …
Paper Group AWR 293

Paper Group AWR 293

February 1, 2020

PaccMann$^{RL}$: Designing anticancer drugs from transcriptomic data via reinforcement learning. Finding Archetypal Spaces Using Neural Networks. GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis. Audio Denoising with Deep Network Priors. Systematic quantitative analyses reveal the folk-zoological knowledge embedded …
Paper Group AWR 294

Paper Group AWR 294

February 1, 2020

Convolutional Analysis Operator Learning: Dependence on Training Data. The HSIC Bottleneck: Deep Learning without Back-Propagation. Decoupled Greedy Learning of CNNs. Iterative Normalization: Beyond Standardization towards Efficient Whitening. Provably Robust Blackbox Optimization for Reinforcement Learning. Hyperbolic Image Embeddings. FIGR: Few-s …
Paper Group AWR 295

Paper Group AWR 295

February 1, 2020

Gromov-Wasserstein Factorization Models for Graph Clustering. Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. Tree Transformer: Integrating Tree Structures into Self-Attention. Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. Place Recognition for Stereo VisualOdometry us …
Paper Group AWR 296

Paper Group AWR 296

February 1, 2020

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. Levenshtein Transformer. Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network. Online Adaptive Principal Component Analysis and Its extensions. Task-Oriented Language Grounding for Language …
Paper Group AWR 297

Paper Group AWR 297

February 1, 2020

Data-Free Quantization Through Weight Equalization and Bias Correction. Learning Humanoid Robot Running Skills through Proximal Policy Optimization. Meshed-Memory Transformer for Image Captioning. Don’t Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors. The Effect of Translationese in Machine Translation Test Sets. Benchmar …
Paper Group AWR 298

Paper Group AWR 298

February 1, 2020

A Simple Baseline for Bayesian Uncertainty in Deep Learning. Causal Reasoning from Meta-reinforcement Learning. Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search. A Global-Local Emebdding Module for Fashion Landmark Detection. Cross-Lingual Machine Reading Comprehension. A Comprehensive guide to Bayesian Convolutional …
Paper Group AWR 299

Paper Group AWR 299

February 1, 2020

DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing. A variance modeling framework based on variational autoencoders for speech enhancement. Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. Fast Single Image Reflection Suppression via Convex Op …
Paper Group AWR 300

Paper Group AWR 300

February 1, 2020

Label Embedded Dictionary Learning for Image Classification. Content Differences in Syntactic and Semantic Representations. A Deep Generative Model for Graph Layout. Mining Discourse Markers for Unsupervised Sentence Representation Learning. Re-examination of the Role of Latent Variables in Sequence Modeling. A Multi-task Learning Model for Chinese …
Paper Group AWR 301

Paper Group AWR 301

February 1, 2020

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. Meta-learning of textual representations. Query-based Deep Improvisation. Adversarial Feature Distribution Alignment for Semi-Supervised Learning. DeepShift: Towards Multiplication-Less Neural Networks. Multimodal Transformer for Unaligned Multimodal Language Sequences. Aestheti …
Paper Group AWR 302

Paper Group AWR 302

February 1, 2020

Catalyst.RL: A Distributed Framework for Reproducible RL Research. MaskGAN: Towards Diverse and Interactive Facial Image Manipulation. TF-Replicator: Distributed Machine Learning for Researchers. Class-Balanced Loss Based on Effective Number of Samples. PR Product: A Substitute for Inner Product in Neural Networks. Factored Latent-Dynamic Condition …
Paper Group AWR 303

Paper Group AWR 303

February 1, 2020

Revealing quantum chaos with machine learning. Competitive Gradient Descent. A review of domain adaptation without target labels. Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scar …
Paper Group AWR 304

Paper Group AWR 304

February 1, 2020

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs. Only sparsity based loss function for learning representations. Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. Learning Parallax Attention for Stereo Image Super-Resolution. adVAE: A self-adversarial variational auto …
Paper Group AWR 305

Paper Group AWR 305

February 1, 2020

Unsupervised Network Embedding for Graph Visualization, Clustering and Classification. On Generalizing Detection Models for Unconstrained Environments. Learning Topological Representation for Networks via Hierarchical Sampling. SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. MLSL: Multi-Level Self- …