Decision Making

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 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 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 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 60

Paper Group NANR 60

April 1, 2020

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 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 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 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 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 86

Paper Group NANR 86

April 1, 2020

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 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 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 …