[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group NANR 110
April 1, 2020

Paper Group NANR 110

Equivariant Entity-Relationship Networks. Adversarial Inductive Transfer Learning with input and output space adaptation. Are Transformers universal approximators of sequence-to-sequence functions?. Generalizing Reinforcement Learning to Unseen Actions. Leveraging Simple Model Predictions for Enhancing its Performance. Learning to Transfer via Mode …

Paper Group NANR 111

Paper Group NANR 111

April 1, 2020

Natural- to formal-language generation using Tensor Product Representations. Towards trustworthy predictions from deep neural networks with fast adversarial calibration. Deep Randomized Least Squares Value Iteration. Language-independent Cross-lingual Contextual Representations. Safe Policy Learning for Continuous Control. Lattice Representation Le …
Paper Group NANR 112

Paper Group NANR 112

April 1, 2020

TSInsight: A local-global attribution framework for interpretability in time-series data. Connecting the Dots Between MLE and RL for Sequence Prediction. Quantum Semi-Supervised Kernel Learning. Meta-Graph: Few shot Link Prediction via Meta Learning. Learning transitional skills with intrinsic motivation. Distilling the Knowledge of BERT for Text G …
Paper Group NANR 113

Paper Group NANR 113

April 1, 2020

SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning. High-Frequency guided Curriculum Learning for Class-specific Object Boundary Detection. V1Net: A computational model of cortical horizontal connections. Hyperparameter Tuning and Implicit Regularization in Minibatch SGD. Quantum Optical E …
Paper Group NANR 114

Paper Group NANR 114

April 1, 2020

Causal Discovery with Reinforcement Learning. SAFE-DNN: A Deep Neural Network with Spike Assisted Feature Extraction for Noise Robust Inference. An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation. Distillation $\approx$ Early Stopping? Harvesting Dar …
Paper Group NANR 115

Paper Group NANR 115

April 1, 2020

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Provable Convergence and Global Optimality of Generative Adversarial Network. Representation Learning with Multisets. Deep Gradient Boosting – Layer-wise Input Normalization of Neural Networks. Inferring Dynamical Systems with Long-Range Dependencies through Line …
Paper Group NANR 116

Paper Group NANR 116

April 1, 2020

Probabilistic modeling the hidden layers of deep neural networks. Hierarchical Bayes Autoencoders. Influence-aware Memory for Deep Reinforcement Learning. DIVA: Domain Invariant Variational Autoencoder. Dynamic Graph Message Passing Networks. SoftLoc: Robust Temporal Localization under Label Misalignment. Unsupervised Temperature Scaling: Robust Po …
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 119

Paper Group NANR 119

April 1, 2020

Multi-objective Neural Architecture Search via Predictive Network Performance Optimization. High performance RNNs with spiking neurons. A Mechanism of Implicit Regularization in Deep Learning. Towards Principled Objectives for Contrastive Disentanglement. Multigrid Neural Memory. Frequency Analysis for Graph Convolution Network. A Graph Neural Netw …
Paper Group NANR 12

Paper Group NANR 12

April 1, 2020

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. Measuring Calibration in Deep Learning. Partial Simulation for Imitation Learning. Semi-supervised 3D Face Reconstruction with Nonlinear Disentangled Representations. iWGAN: an Autoencoder WGAN for Inference. A Syntax-Aware Approach for Unsupervised Text Style Tra …
Paper Group NANR 120

Paper Group NANR 120

April 1, 2020

Continual Learning via Principal Components Projection. Semi-supervised semantic segmentation needs strong, high-dimensional perturbations. Learning Function-Specific Word Representations. Geometric Insights into the Convergence of Nonlinear TD Learning. Dynamical System Embedding for Efficient Intrinsically Motivated Artificial Agents. Certifying …
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 122

Paper Group NANR 122

April 1, 2020

Optimal Strategies Against Generative Attacks. Versatile Anomaly Detection with Outlier Preserving Distribution Mapping Autoencoders. Deep RL for Blood Glucose Control: Lessons, Challenges, and Opportunities. Towards Certified Defense for Unrestricted Adversarial Attacks. Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack …
Paper Group NANR 123

Paper Group NANR 123

April 1, 2020

Redundancy-Free Computation Graphs for Graph Neural Networks. Towards Effective 2-bit Quantization: Pareto-optimal Bit Allocation for Deep CNNs Compression. Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach. EMS: End-to-End Model Search for Network Architecture, Pruning and Quantization. Out-of-distribution Detec …
Paper Group NANR 124

Paper Group NANR 124

April 1, 2020

Extreme Value k-means Clustering. Disentangling Style and Content in Anime Illustrations. Effects of Linguistic Labels on Learned Visual Representations in Convolutional Neural Networks: Labels matter!. Learning from Imperfect Annotations: An End-to-End Approach. Fuzzing-Based Hard-Label Black-Box Attacks Against Machine Learning Models. SGD with H …
Paper Group NANR 125

Paper Group NANR 125

April 1, 2020

Understanding the (Un)interpretability of Natural Image Distributions Using Generative Models. MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. Universal Safeguarded Learned Convex Optimization with Guaranteed Convergence. Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combinati …
Paper Group NANR 126

Paper Group NANR 126

April 1, 2020

Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization. Reasoning-Aware Graph Convolutional Network for Visual Question Answering. Attention on Abstract Visual Reasoning. CLEVRER: Collision Events for Video Representation and Reasoning. Deep End-to-end Unsupervised Anomaly Detection. Attentive Weights Generation for Few Shot Lea …
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 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 129

Paper Group NANR 129

April 1, 2020

At Your Fingertips: Automatic Piano Fingering Detection. Rigging the Lottery: Making All Tickets Winners. A Uniform Generalization Error Bound for Generative Adversarial Networks. Set Functions for Time Series. The fairness-accuracy landscape of neural classifiers. A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation. Phy …
Paper Group NANR 13

Paper Group NANR 13

April 1, 2020

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. Learning deep graph matching with channel-independent embedding and Hungarian attention. MMD GAN with Random-Forest Kernels. Locally Constant Networks. Learning Long- and Short-Term User L …
Paper Group NANR 130

Paper Group NANR 130

April 1, 2020

How to 0wn the NAS in Your Spare Time. Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders. Deep Variational Semi-Supervised Novelty Detection. DS-VIC: Unsupervised Discovery of Decision States for Transfer in RL. NAS-BENCH-1SHOT1: BENCHMARKING AND DISSECTING ONE-SHOT NEURAL ARCHITECTURE SEARCH. An Information Theo …
Paper Group NANR 131

Paper Group NANR 131

April 1, 2020

Domain Adaptation Through Label Propagation: Learning Clustered and Aligned Features. Deep Innovation Protection. Scalable Differentially Private Data Generation via Private Aggregation of Teacher Ensembles. Expected Tight Bounds for Robust Deep Neural Network Training. Unsupervised Spatiotemporal Data Inpainting. Fair Resource Allocation in Federa …
Paper Group NANR 132

Paper Group NANR 132

April 1, 2020

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ISBNet: Instance-aware Selective Branching Networks. Compositional Continual Language Learning. Testing Robustness Against Unforeseen Adversaries. Transfer Active Learning For Graph Neural Networks. Adaptive Online Planning for Continual Lifelong Learning. Symmetry and Syst …
Paper Group NANR 133

Paper Group NANR 133

April 1, 2020

Winning the Lottery with Continuous Sparsification. Model Architecture Controls Gradient Descent Dynamics: A Combinatorial Path-Based Formula. Reweighted Proximal Pruning for Large-Scale Language Representation. Distilled embedding: non-linear embedding factorization using knowledge distillation. Soft Token Matching for Interpretable Low-Resource C …
Paper Group NANR 134

Paper Group NANR 134

April 1, 2020

Learning from Partially-Observed Multimodal Data with Variational Autoencoders. Efficient meta reinforcement learning via meta goal generation. ASYNCHRONOUS MULTI-AGENT GENERATIVE ADVERSARIAL IMITATION LEARNING. Dynamic Instance Hardness. The Power of Semantic Similarity based Soft-Labeling for Generalized Zero-Shot Learning. Exploiting Excessive I …
Paper Group NANR 135

Paper Group NANR 135

April 1, 2020

Learning Compact Reward for Image Captioning. Neural Network Out-of-Distribution Detection for Regression Tasks. A Dynamic Approach to Accelerate Deep Learning Training. Inducing Stronger Object Representations in Deep Visual Trackers. Improving Confident-Classifiers For Out-of-distribution Detection. Multi-Scale Representation Learning for Spatial …