[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group NANR 35
April 1, 2020

Paper Group NANR 35

Cross-Lingual Ability of Multilingual BERT: An Empirical Study. Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination. Knockoff-Inspired Feature Selection via Generative Models. Self-Induced Curriculum Learning in Neural Machine Translation. Granger Causal Structure Reconstruction from Heterogeneous Multivariate Time Ser …

Paper Group NANR 36

Paper Group NANR 36

April 1, 2020

INSTANCE CROSS ENTROPY FOR DEEP METRIC LEARNING. Abstract Diagrammatic Reasoning with Multiplex Graph Networks. MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. Generative Integration Networks. Disc …
Paper Group NANR 37

Paper Group NANR 37

April 1, 2020

Fully Quantized Transformer for Improved Translation. Scalable Neural Learning for Verifiable Consistency with Temporal Specifications. Cascade Style Transfer. Randomness in Deconvolutional Networks for Visual Representation. Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning. SINGLE PATH ONE-SHOT NEURAL ARCHITECTURE …
Paper Group NANR 38

Paper Group NANR 38

April 1, 2020

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates. $\alpha^{\alpha}$-Rank: Scalable Multi-agent Evaluation through Evolution. Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. Zero-shot task adaptation by homoiconic meta-mapping. Towards Effective and Efficient Zero-shot Learning by Fin …
Paper Group NANR 39

Paper Group NANR 39

April 1, 2020

Projected Canonical Decomposition for Knowledge Base Completion. Learning a Spatio-Temporal Embedding for Video Instance Segmentation. A Stochastic Derivative Free Optimization Method with Momentum. Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. Non-linear System Identification from Partial Observations via Iterative Smo …
Paper Group NANR 4

Paper Group NANR 4

April 1, 2020

Amharic Text Normalization with Sequence-to-Sequence Models. Counterfactual Regularization for Model-Based Reinforcement Learning. Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. Reflection-based Word Attribute Transfer. Consistent Meta-Reinforceme …
Paper Group NANR 40

Paper Group NANR 40

April 1, 2020

Semi-Supervised Few-Shot Learning with Prototypical Random Walks. On the Evaluation of Conditional GANs. The Visual Task Adaptation Benchmark. Residual EBMs: Does Real vs. Fake Text Discrimination Generalize?. Variable Complexity in the Univariate and Multivariate Structural Causal Model. Forecasting Deep Learning Dynamics with Applications to Hype …
Paper Group NANR 41

Paper Group NANR 41

April 1, 2020

Generalized Zero-shot ICD Coding. NORML: Nodal Optimization for Recurrent Meta-Learning. Noisy $\ell^{0}$-Sparse Subspace Clustering on Dimensionality Reduced Data. Towards an Adversarially Robust Normalization Approach. Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. Iterative Target Augmentation for Effective Con …
Paper Group NANR 42

Paper Group NANR 42

April 1, 2020

Improved Structural Discovery and Representation Learning of Multi-Agent Data. Extreme Language Model Compression with Optimal Subwords and Shared Projections. Feature Map Transform Coding for Energy-Efficient CNN Inference. Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Nonconvex Optimization. Deep Spike Decoder (DSD). Ad …
Paper Group NANR 43

Paper Group NANR 43

April 1, 2020

Continual Learning via Neural Pruning. apPILcation: an Android-based Tool for Learning Mansi. Quantum Graph Neural Networks. ShardNet: One Filter Set to Rule Them All. Balancing Cost and Benefit with Tied-Multi Transformers. AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training. Visual Representation Learning with 3D View-Constrastive …
Paper Group NANR 44

Paper Group NANR 44

April 1, 2020

Transferable Recognition-Aware Image Processing. Towards a Speech Recognizer for Komi, an Endangered and Low-Resource Uralic Language. PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. COPHY: Counterfactual Learning of Phys …
Paper Group NANR 45

Paper Group NANR 45

April 1, 2020

Recurrent Event Network : Global Structure Inference Over Temporal Knowledge Graph. IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. Subgraph Attention for Node Classification and Hierarchical Graph Pooling. Empowering Graph Representation Learning with Paired Training and Graph Co-Attention. MxPool: Multiplex …
Paper Group NANR 46

Paper Group NANR 46

April 1, 2020

A Simple Technique to Enable Saliency Methods to Pass the Sanity Checks. Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. How can we generalise learning distributed representations of graphs?. Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. Attacking Graph …
Paper Group NANR 47

Paper Group NANR 47

April 1, 2020

State2vec: Off-Policy Successor Feature Approximators. RTC-VAE: HARNESSING THE PECULIARITY OF TOTAL CORRELATION IN LEARNING DISENTANGLED REPRESENTATIONS. Pragmatic Evaluation of Adversarial Examples in Natural Language. Preventing Imitation Learning with Adversarial Policy Ensembles. Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic M …
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 …
Paper Group NANR 49

Paper Group NANR 49

April 1, 2020

Diving into Optimization of Topology in Neural Networks. Stabilizing Transformers for Reinforcement Learning. Aggregating explanation methods for neural networks stabilizes explanations. Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems. Attributed Graph Learning with 2-D Graph Convolution. Chordal-GC …
Paper Group NANR 5

Paper Group NANR 5

April 1, 2020

Incorporating Perceptual Prior to Improve Model’s Adversarial Robustness. Neural Clustering Processes. Bayesian Inference for Large Scale Image Classification. Refining the variational posterior through iterative optimization. Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. Nonlinearities in activations substantially shape …
Paper Group NANR 50

Paper Group NANR 50

April 1, 2020

A shallow feature extraction network with a large receptive field for stereo matching tasks. DeepEnFM: Deep neural networks with Encoder enhanced Factorization Machine. Generating Robust Audio Adversarial Examples using Iterative Proportional Clipping. Limitations for Learning from Point Clouds. Adaptive Structural Fingerprints for Graph Attention …
Paper Group NANR 51

Paper Group NANR 51

April 1, 2020

Understanding the Limitations of Variational Mutual Information Estimators. Regularizing Predictions via Class-wise Self-knowledge Distillation. Quantifying Exposure Bias for Neural Language Generation. Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. Slow Thinking Enables Task-Uncertain Lifelong a …
Paper Group NANR 52

Paper Group NANR 52

April 1, 2020

Smoothness and Stability in GANs. Atomic Compression Networks. Lipschitz constant estimation for Neural Networks via sparse polynomial optimization. Evo-NAS: Evolutionary-Neural Hybrid Agent for Architecture Search. Data-dependent Gaussian Prior Objective for Language Generation. Dataset Distillation. Towards Understanding the Spectral Bias of Deep …
Paper Group NANR 53

Paper Group NANR 53

April 1, 2020

Machine Truth Serum. Adversarial training with perturbation generator networks. Conditional Invertible Neural Networks for Guided Image Generation. To Relieve Your Headache of Training an MRF, Take AdVIL. Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. Incorporating BERT into Neura …
Paper Group NANR 54

Paper Group NANR 54

April 1, 2020

Theory and Evaluation Metrics for Learning Disentangled Representations. LSTOD: Latent Spatial-Temporal Origin-Destination prediction model and its applications in ride-sharing platforms. TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. Unsupervised Model Selection for Variational Disentan …
Paper Group NANR 55

Paper Group NANR 55

April 1, 2020

Semi-supervised Learning by Coaching. Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. Good Semi-supervised VAE Requires Tighter Evidence Lower Bound. Learning Latent Dynamics for Partially-Observed Chaotic Systems. Mixed Precision Training With 8-bit Floating Point. Pipelined Training with Stale Weights of De …
Paper Group NANR 56

Paper Group NANR 56

April 1, 2020

Meta-Learning with Warped Gradient Descent. Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. Domain Aggregation Networks for Multi-Source Domain Adaptation. Using Explainabilty to Detect Adversarial Attacks. Domain-invariant Learning using Adaptive Filter Decomposition. VILD: Variational Imitation Learning with Diverse-qua …
Paper Group NANR 57

Paper Group NANR 57

April 1, 2020

Continual Learning with Bayesian Neural Networks for Non-Stationary Data. Knossos: Compiling AI with AI. Dynamic Time Lag Regression: Predicting What & When. Reparameterized Variational Divergence Minimization for Stable Imitation. Deep Symbolic Superoptimization Without Human Knowledge. Provable Filter Pruning for Efficient Neural Networks. Compre …
Paper Group NANR 58

Paper Group NANR 58

April 1, 2020

Incremental RNN: A Dynamical View.. Image-guided Neural Object Rendering. SGD Learns One-Layer Networks in WGANs. Geom-GCN: Geometric Graph Convolutional Networks. AutoLR: A Method for Automatic Tuning of Learning Rate. Deep Imitative Models for Flexible Inference, Planning, and Control. Large-scale Pretraining for Neural Machine Translation with T …
Paper Group NANR 59

Paper Group NANR 59

April 1, 2020

A⋆MCTS: SEARCH WITH THEORETICAL GUARANTEE USING POLICY AND VALUE FUNCTIONS. FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES. DEEP GRAPH SPECTRAL EVOLUTION NETWORKS FOR GRAPH TOPOLOGICAL TRANSFORMATION. Modeling Fake News in Social Networks with Deep Multi-Agent Reinforcement Learning. Long-term planning, short-term ad …
Paper Group NANR 6

Paper Group NANR 6

April 1, 2020

RefNet: Automatic Essay Scoring by Pairwise Comparison. Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks. Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. QXplore: Q-Learning Exploration …