[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group NANR 86
April 1, 2020

Paper Group NANR 86

Meta-Learning Initializations for Image Segmentation. Measuring the Reliability of Reinforcement Learning Algorithms. How many weights are enough : can tensor factorization learn efficient policies ?. Regularization Matters in Policy Optimization. Deceptive Opponent Modeling with Proactive Network Interdiction for Stochastic Goal Recognition Contro …

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 …
Paper Group NANR 88

Paper Group NANR 88

April 1, 2020

Training binary neural networks with real-to-binary convolutions. FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN. Ridge Regression: Structure, Cross-Validation, and Sketching. Confidence Scores Make Instance-dependent Label-noise Learning Possible. FreeLB: Enhanced Adversarial Training for Language Understanding. Mode …
Paper Group NANR 89

Paper Group NANR 89

April 1, 2020

Attributes Obfuscation with Complex-Valued Features. IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. Progressive Upsampling Audio Synthesis via Effective Adversarial Training. Accelerating SGD with momentum for over-parameterized learning. Estimating Gradients for Discrete Random Variables by Sampling without Re …
Paper Group NANR 9

Paper Group NANR 9

April 1, 2020

On Need for Topology-Aware Generative Models for Manifold-Based Defenses. Deep k-NN for Noisy Labels. Visual Interpretability Alone Helps Adversarial Robustness. Learning to Rank Learning Curves. Towards Controllable and Interpretable Face Completion via Structure-Aware and Frequency-Oriented Attentive GANs. An Empirical and Comparative Analysis of …
Paper Group NANR 90

Paper Group NANR 90

April 1, 2020

SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning. Transferable Perturbations of Deep Feature Distributions. Mutual Information Maximization for Robust Plannable Representations. Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. Non-Sequential Melody Generation. Smart Ternary Quantizatio …
Paper Group NANR 91

Paper Group NANR 91

April 1, 2020

Augmenting Self-attention with Persistent Memory. Ensemble Distribution Distillation. Automated curriculum generation through setter-solver interactions. PolyGAN: High-Order Polynomial Generators. Mathematical Reasoning in Latent Space. Neural Execution of Graph Algorithms. Deep Double Descent: Where Bigger Models and More Data Hurt. The Early Phas …
Paper Group NANR 92

Paper Group NANR 92

April 1, 2020

Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth. Combining Q-Learning and Search with Amortized Value Estimates. Improved memory in recurrent neural networks with sequential non-normal dynamics. Differentiable Reasoning over a Virtual Knowledge Base. Hamiltonian Generative Networks. GenDICE: Generalized Offli …
Paper Group NANR 93

Paper Group NANR 93

April 1, 2020

PNAT: Non-autoregressive Transformer by Position Learning. Diagnosing the Environment Bias in Vision-and-Language Navigation. Differentially Private Meta-Learning. Learning Underlying Physical Properties From Observations For Trajectory Prediction. Universal Approximation with Certified Networks. Neural Policy Gradient Methods: Global Optimality an …
Paper Group NANR 94

Paper Group NANR 94

April 1, 2020

Multi-Precision Policy Enforced Training (MuPPET) : A precision-switching strategy for quantised fixed-point training of CNNs. Feature-map-level Online Adversarial Knowledge Distillation. UNPAIRED POINT CLOUD COMPLETION ON REAL SCANS USING ADVERSARIAL TRAINING. A Probabilistic Formulation of Unsupervised Text Style Transfer. Neural Network Branchin …
Paper Group NANR 95

Paper Group NANR 95

April 1, 2020

GPU Memory Management for Deep Neural Networks Using Deep Q-Network. On the “steerability” of generative adversarial networks. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. Adversarial Robustness Against the Union of Multiple Perturbation Models. Quantifying Point-Prediction Uncertainty in Neural Networks via Residua …
Paper Group NANR 96

Paper Group NANR 96

April 1, 2020

Fantastic Generalization Measures and Where to Find Them. Convergence Behaviour of Some Gradient-Based Methods on Bilinear Zero-Sum Games. Dynamic Model Pruning with Feedback. Structured Object-Aware Physics Prediction for Video Modeling and Planning. Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. Implementing Inductive bias …
Paper Group NANR 97

Paper Group NANR 97

April 1, 2020

Deep Orientation Uncertainty Learning based on a Bingham Loss. Learning Disentangled Representations for CounterFactual Regression. Unrestricted Adversarial Examples via Semantic Manipulation. Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. Winning Privately: The Differentially Private Lottery Ticket Mechanism. Certifying Neu …
Paper Group NANR 98

Paper Group NANR 98

April 1, 2020

Deep automodulators. GLAD: Learning Sparse Graph Recovery. Regional based query in graph active learning. A critical analysis of self-supervision, or what we can learn from a single image. FLAT MANIFOLD VAES. PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search. Detecting Extrapolation with Local Ensembles. DBA: Distribute …
Paper Group NANR 99

Paper Group NANR 99

April 1, 2020

Privacy-preserving Representation Learning by Disentanglement. Projection Based Constrained Policy Optimization. Single episode transfer for differing environmental dynamics in reinforcement learning. SELF: Learning to Filter Noisy Labels with Self-Ensembling. Efficient Probabilistic Logic Reasoning with Graph Neural Networks. Black-box Off-policy …
Paper Group NAWR 1

Paper Group NAWR 1

April 1, 2020

Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Learning Cross-modal Context Graph for Visual Grounding. Differentially Private Mixed-Type Data Generation For Unsupervised Learning. HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion. Cost-Effective Testing of a Deep Learning Model through Input Reduction. Learnin …
Paper Group NAWR 2

Paper Group NAWR 2

April 1, 2020

Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations. NAS evaluation is frustratingly hard. Discourse-Based Evaluation of Language Understanding. Meta-learning curiosity algorithms. Black-box Adversarial Attacks with Bayesian Optimization. Neural Tangents: Fast and Easy Infinite Neural Networks in …
Paper Group NAWR 3

Paper Group NAWR 3

April 1, 2020

Why ADAM Beats SGD for Attention Models. Hindsight Trust Region Policy Optimization. Decentralized Distributed PPO: Mastering PointGoal Navigation. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. Bootstrapping the Expressivity with Model-based Planning. Automated Relational Meta-learning. Empirical Bayes Transductive Meta-Learn …
Paper Group NAWR 4

Paper Group NAWR 4

April 1, 2020

Generative Adversarial Nets for Multiple Text Corpora. Hyperbolic Image Embeddings. Localised Generative Flows. Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model. Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model. Interpretations are useful: penalizing e …
Paper Group NAWR 5

Paper Group NAWR 5

April 1, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. Chameleon: Adaptive Code Optimization For Expedited Deep Neural Network Compilation. ProtoAttend: Attention- …
Paper Group NAWR 6

Paper Group NAWR 6

April 1, 2020

Encoder-Agnostic Adaptation for Conditional Language Generation. LEARNED STEP SIZE QUANTIZATION. Deep Graph Translation. RPGAN: random paths as a latent space for GAN interpretability. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Composition-based Multi-Relational Graph Convolutional Networks. Argus: Efficient …
Paper Group NAWR 7

Paper Group NAWR 7

April 1, 2020

GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features. AtomNAS: Fine-Grained End-to-End Neural Architecture Search …