Latent Variable Models

Paper Group ANR 22

Paper Group ANR 22

April 3, 2020

Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems. Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization. Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification. A Nove …
Paper Group ANR 54

Paper Group ANR 54

April 3, 2020

Unique Properties of Wide Minima in Deep Networks. The Big Three: A Methodology to Increase Data Science ROI by Answering the Questions Companies Care About. Learning Flat Latent Manifolds with VAEs. Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method. Recovering Geometric Information with Learned Texture Perturbations …
Paper Group ANR 61

Paper Group ANR 61

April 3, 2020

Invariant Risk Minimization Games. A Continuous Space Neural Language Model for Bengali Language. dtControl: Decision Tree Learning Algorithms for Controller Representation. Scalable Quantitative Verification For Deep Neural Networks. Multilingual Stance Detection: The Catalonia Independence Corpus. IMAC: In-memory multi-bit Multiplication andACcum …
Paper Group AWR 1

Paper Group AWR 1

April 3, 2020

A Sparse Deep Factorization Machine for Efficient CTR prediction. Probability Weighted Compact Feature for Domain Adaptive Retrieval. Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features. SQLFlow: A Bridg …
Paper Group AWR 30

Paper Group AWR 30

April 3, 2020

DSNAS: Direct Neural Architecture Search without Parameter Retraining. Two-Sample Testing for Event Impacts in Time Series. Discovering Mathematical Objects of Interest – A Study of Mathematical Notations. Semantic Pyramid for Image Generation. A Framework for Evaluation of Machine Reading Comprehension Gold Standards. Fast and Three-rious: Speedi …
Paper Group AWR 79

Paper Group AWR 79

April 3, 2020

Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency. COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images. Exploring Categorical Regular …
Paper Group ANR 162

Paper Group ANR 162

April 2, 2020

Disentanglement with Hyperspherical Latent Spaces using Diffusion Variational Autoencoders. The Design of a Space-based Observation and Tracking System for Interstellar Objects. Distilled Semantics for Comprehensive Scene Understanding from Videos. Adaptive Stochastic Optimization. UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7 …
Paper Group ANR 182

Paper Group ANR 182

April 2, 2020

Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. Maximal Causes for Exponential Family Observables. Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. Sub-Goal Trees – a Framework for Goal-Based Reinforcement Learning. STAViS: Spatio-Temporal AudioVisual Saliency Network. Multi …
Paper Group ANR 258

Paper Group ANR 258

April 2, 2020

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors. A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation. sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. On the Discrepancy between Density Estimation …
Paper Group ANR 268

Paper Group ANR 268

April 2, 2020

An Improved Classification Model for Igbo Text Using N-Gram And K-Nearest Neighbour Approaches. Sound field reconstruction in rooms: inpainting meets superresolution. SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. Short sighted deep learning. Proving the Lottery Ticket Hypothesis: Pruning is All You Need. End-to-e …
Paper Group ANR 298

Paper Group ANR 298

April 2, 2020

Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation. A Structured Approach to Trustworthy Autonomous/Cognitive Systems. Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image. The Human Visual System and Adversarial AI. Imputing Missing Boarding Stations With Machine Learning Meth …
Paper Group ANR 330

Paper Group ANR 330

April 2, 2020

Majorization Minimization Methods to Distributed Pose Graph Optimization with Convergence Guarantees. A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. Missing Data Imputation for Classification Problems. Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. Dynami …
Paper Group ANR 477

Paper Group ANR 477

April 1, 2020

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique. Belief Base Revision for Further Improvement of Unified Answer Set Programming. Self-supervised visual feature learning with curriculum. Tensor Networks for Language Modeling. Are …
Paper Group ANR 479

Paper Group ANR 479

April 1, 2020

Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach. Fast Generating A Large Number of Gumbel-Max Variables. NestedVAE: Isolating Common Factors via Weak Supervision. AQPDCITY Dataset: Picture-Based PM2.5 Monitoring in the Urban Area of Big Cities. Incremental Fast Subclass Discri …
Paper Group NANR 100

Paper Group NANR 100

April 1, 2020

Relational State-Space Model for Stochastic Multi-Object Systems. Variance Reduction With Sparse Gradients. The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. Novelty Detection Via Blurring. Federated Learning with Matched Averagi …
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 139

Paper Group NANR 139

April 1, 2020

Translation Between Waves, wave2wave. Deep Generative Classifier for Out-of-distribution Sample Detection. Lean Images for Geo-Localization. Differentiable Programming for Physical Simulation. IEG: Robust neural net training with severe label noises. Frequency Pooling: Shift-Equivalent and Anti-Aliasing Down Sampling. Effective Use of Variational E …
Paper Group NANR 15

Paper Group NANR 15

April 1, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. Axial Attention in Multidimensional Transformers. Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients. Robust Subspace Recovery La …
Paper Group NANR 19

Paper Group NANR 19

April 1, 2020

Star-Convexity in Non-Negative Matrix Factorization. Domain Adaptive Multiflow Networks. Connectivity-constrained interactive annotations for panoptic segmentation. Learning to Move with Affordance Maps. AdvCodec: Towards A Unified Framework for Adversarial Text Generation. Multi-task Network Embedding with Adaptive Loss Weighting. OPTIMAL TRANSPOR …
Paper Group NANR 3

Paper Group NANR 3

April 1, 2020

Global Adversarial Robustness Guarantees for Neural Networks. Ternary MobileNets via Per-Layer Hybrid Filter Banks. Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. Robust Instruction-Following in a Situated Agent via Transfer-Learning from Text. Learning to Reason: Distilling Hierarchy via Self-Supervision and Rei …
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 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 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 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 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 …