[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group NANR 60
April 1, 2020

Paper Group NANR 60

LAVAE: Disentangling Location and Appearance. Proactive Sequence Generator via Knowledge Acquisition. Provable Representation Learning for Imitation Learning via Bi-level Optimization. A Perturbation Analysis of Input Transformations for Adversarial Attacks. Robustified Importance Sampling for Covariate Shift. Learning Space Partitions for Nearest …

Paper Group NANR 61

Paper Group NANR 61

April 1, 2020

Improving Evolutionary Strategies with Generative Neural Networks. Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. Disagreement-Regularized Imitation Learning. Learning Generative Image Object Manipulations from Language Instructions. Power up! Robust Graph Convolutional Network based on Graph Powering. Compressive …
Paper Group NANR 62

Paper Group NANR 62

April 1, 2020

Why Does the VQA Model Answer No?: Improving Reasoning through Visual and Linguistic Inference. Auto Network Compression with Cross-Validation Gradient. Regularizing activations in neural networks via distribution matching with the Wassertein metric. TrojanNet: Exposing the Danger of Trojan Horse Attack on Neural Networks. Sparse Coding with Gated …
Paper Group NANR 63

Paper Group NANR 63

April 1, 2020

Reinforcement Learning with Probabilistically Complete Exploration. Unknown-Aware Deep Neural Network. DP-LSSGD: An Optimization Method to Lift the Utility in Privacy-Preserving ERM. BERT for Sequence-to-Sequence Milti-Label Text Classification. Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading. Data-Driven Ap …
Paper Group NANR 64

Paper Group NANR 64

April 1, 2020

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. Deep 3D Pan via Local adaptive “t-shaped” convolutions with global and local adaptive dilations. SPREAD DIVERGENCE. Simplicial Complex Networks. Identifying through Flows for Recovering Latent Representations. Adaptive network sparsification with dependent variation …
Paper Group NANR 65

Paper Group NANR 65

April 1, 2020

Enhancing Adversarial Defense by k-Winners-Take-All. Learn to Explain Efficiently via Neural Logic Inductive Learning. Leveraging Entanglement Entropy for Deep Understanding of Attention Matrix in Text Matching. Reducing Transformer Depth on Demand with Structured Dropout. AlignNet: Self-supervised Alignment Module. Moniqua: Modulo Quantized Commun …
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 67

Paper Group NANR 67

April 1, 2020

Improved Mutual Information Estimation. Stochastic Latent Residual Video Prediction. Octave Graph Convolutional Network. Generalization Puzzles in Deep Networks. Under what circumstances do local codes emerge in feed-forward neural networks. Using Objective Bayesian Methods to Determine the Optimal Degree of Curvature within the Loss Landscape. Adv …
Paper Group NANR 68

Paper Group NANR 68

April 1, 2020

Novelty Search in representational space for sample efficient exploration. Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. EXACT ANALYSIS OF CURVATURE CORRECTED LEARNING DYNAMICS IN DEEP LINEAR NETWORKS. Equilibrium Propagation with Continual Weight Updates. Mincut Pooling in Graph Neural Networks. Never Give Up: Learning Dir …
Paper Group NANR 69

Paper Group NANR 69

April 1, 2020

Measure by Measure: Automatic Music Composition with Traditional Western Music Notation. Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training. PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics. Global R …
Paper Group NANR 7

Paper Group NANR 7

April 1, 2020

BETANAS: Balanced Training and selective drop for Neural Architecture Search. INTERPRETING CNN PREDICTION THROUGH LAYER - WISE SELECTED DISCERNIBLE NEURONS. Adversarial Interpolation Training: A Simple Approach for Improving Model Robustness. Robustness Verification for Transformers. Diversely Stale Parameters for Efficient Training of Deep Convolu …
Paper Group NANR 70

Paper Group NANR 70

April 1, 2020

PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION. Implicit Bias of Gradient Descent based Adversarial Training on Separable Data. Deep Neural Forests: An Architecture for Tabular Data. Revisiting the Generalization of Adaptive Gradient Methods. INFERENCE, PREDICTION, AND ENTROPY RATE OF CONTINUOUS-TIME, DISCRETE-EVENT PROC …
Paper Group NANR 71

Paper Group NANR 71

April 1, 2020

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently. Neural Outlier Rejection for Self-Supervised Keypoint Learning. Deep Hierarchical-Hyperspherical Learning (DH^2L). Physics-Aware Flow Data Completion Using Neural Inpa …
Paper Group NANR 72

Paper Group NANR 72

April 1, 2020

Efficacy of Pixel-Level OOD Detection for Semantic Segmentation. Customizing Sequence Generation with Multi-Task Dynamical Systems. Learning Representations in Reinforcement Learning: an Information Bottleneck Approach. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. LEX-GAN: Layered Explainable Rumor Detector Based on …
Paper Group NANR 73

Paper Group NANR 73

April 1, 2020

Learning to Reach Goals Without Reinforcement Learning. HOW IMPORTANT ARE NETWORK WEIGHTS? TO WHAT EXTENT DO THEY NEED AN UPDATE?. Universal Adversarial Attack Using Very Few Test Examples. THE EFFECT OF ADVERSARIAL TRAINING: A THEORETICAL CHARACTERIZATION. Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. Unre …
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 75

Paper Group NANR 75

April 1, 2020

Exploring the Pareto-Optimality between Quality and Diversity in Text Generation. The Detection of Distributional Discrepancy for Text Generation. Coresets for Accelerating Incremental Gradient Methods. CONTRIBUTION OF INTERNAL REFLECTION IN LANGUAGE EMERGENCE WITH AN UNDER-RESTRICTED SITUATION. Gradient Perturbation is Underrated for Differentiall …
Paper Group NANR 76

Paper Group NANR 76

April 1, 2020

Hidden incentives for self-induced distributional shift. Measuring Numerical Common Sense: Is A Word Embedding Approach Effective?. Variational Autoencoders with Normalizing Flow Decoders. A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed. Differentiable Architecture Compression. Black Box Recursive Translations for M …
Paper Group NANR 77

Paper Group NANR 77

April 1, 2020

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. Teaching GAN to generate per-pixel annotation. RNA Secondary Structure Prediction By Learning Unrolled Algorithms. Meta Label Correction for Learning with Weak Supervision. Asynchronous Stochastic Subgradient Methods for General Nonsmooth Nonconvex Optimization. …
Paper Group NANR 78

Paper Group NANR 78

April 1, 2020

The function of contextual illusions. PDP: A General Neural Framework for Learning SAT Solvers. Project and Forget: Solving Large Scale Metric Constrained Problems. Visual Explanation for Deep Metric Learning. The Frechet Distance of training and test distribution predicts the generalization gap. End to End Trainable Active Contours via Differentia …
Paper Group NANR 79

Paper Group NANR 79

April 1, 2020

Three-Head Neural Network Architecture for AlphaZero Learning. Invariance vs Robustness of Neural Networks. Data Augmentation in Training CNNs: Injecting Noise to Images. Decoupling Representation and Classifier for Long-Tailed Recognition. Relevant-features based Auxiliary Cells for Robust and Energy Efficient Deep Learning. Representing Model Unc …
Paper Group NANR 8

Paper Group NANR 8

April 1, 2020

Demystifying Graph Neural Network Via Graph Filter Assessment. Wide Neural Networks are Interpolating Kernel Methods: Impact of Initialization on Generalization. Optimising Neural Network Architectures for Provable Adversarial Robustness. Convolutional Bipartite Attractor Networks. Random Matrix Theory Proves that Deep Learning Representations of G …
Paper Group NANR 80

Paper Group NANR 80

April 1, 2020

Learning Invariants through Soft Unification. Collapsed amortized variational inference for switching nonlinear dynamical systems. Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. Target-Embedding Autoencoders for Supervised Representation Learning. COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS. Neural M …
Paper Group NANR 81

Paper Group NANR 81

April 1, 2020

Neural networks with motivation. Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. The Logical Expressiveness of Graph Neural Networks. Iterative energy-based projection on a normal data manifold for anomaly localization. Size-f …
Paper Group NANR 82

Paper Group NANR 82

April 1, 2020

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. Learning Reusable Options for Multi-Task Reinforcement Learning. AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT. Improving Exploration of Deep Reinforcement Learning using Planning for Policy Search. Off-policy Bandits with Deficient Support …
Paper Group NANR 83

Paper Group NANR 83

April 1, 2020

Deep Relational Factorization Machines. Antifragile and Robust Heteroscedastic Bayesian Optimisation. Meta-Learning without Memorization. Truth or backpropaganda? An empirical investigation of deep learning theory. Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. Inductive Matri …
Paper Group NANR 84

Paper Group NANR 84

April 1, 2020

HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS. Benchmarking Model-Based Reinforcement Learning. Defending Against Physically Realizable Attacks on Image Classification. 3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training. The Gambler’s Problem and Beyond. Smooth markets: A basic mech …
Paper Group NANR 85

Paper Group NANR 85

April 1, 2020

Disentangling Factors of Variations Using Few Labels. Critical initialisation in continuous approximations of binary neural networks. Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. Stochastic Gradient Descent with Biased but Consistent Gradient Estimators. The Sooner The Better: Investigating Structu …