Combinatorial Optimization

Paper Group AWR 61

February 2, 2020

Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. CUP: Cluster Pruning for Compressing Deep Neural Networks. Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914. Image Super-R …

Paper Group AWR 67

February 2, 2020

Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection. GraphSAINT: Graph Sampling Based Inductive Learning Method. Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions. A Programmable Approach to Model Compression. Scalable Bayesian dynamic covariance modeling with variational Wisha …

Paper Group AWR 105

February 1, 2020

Convolutional neural networks: a magic bullet for gravitational-wave detection?. Coherent Semantic Attention for Image Inpainting. FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey. Interpretable Deep Learning in Drug Discovery. …

Paper Group AWR 119

February 1, 2020

bLIMEy: Surrogate Prediction Explanations Beyond LIME. Scale-wise Convolution for Image Restoration. Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking. Defending Against Adversarial Examples with K-Nearest Neighbor. Reparameterizing Distributions on Lie Groups. A Realistic Dataset and Baseline Temporal Model for Early Drowsiness …

Paper Group AWR 139

February 1, 2020

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions. CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM. Graph Transformer for Graph-to-Sequence Learning. Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward …

Paper Group AWR 143

February 1, 2020

Learning document embeddings along with their uncertainties. Continual Reinforcement Learning in 3D Non-stationary Environments. BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Learning to Denoise Distantly-Labeled Data for Entity Typing. Neural Contextual Bandits with UCB-based Exploration. Semi-Conditio …

Paper Group AWR 171

February 1, 2020

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. YOLACT: Real-time Instance Segmentation. A Unified Linear-Time Framework for Sentence-Level Discourse Parsing. DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. Accelerated Experimental Design for Pairwise Comparisons. Rethin …

Paper Group AWR 214

February 1, 2020

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. Similarity Learning via Kernel Preserving Embedding. Robust Building-based Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes. CityFlow: A Multi-Agent Reinforcement Lea …

Paper Group AWR 227

February 1, 2020

The StarCraft Multi-Agent Challenge. Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. Semantic Graph Convolutional Networks for 3D Human Pose Regression. Learning Invariant Representations of Social Media Users. DOVER: A Method for Combining Diarization Outputs. Protecting Geolocati …

Paper Group AWR 239

February 1, 2020

Curriculum Learning for Cumulative Return Maximization. ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. Statistical Model Aggregation via Parameter Matching. Deep Learning Based Chatbot Models. Data assimilation in Agent-based models using creation and annihilation operators. A Capsule Network-based Model fo …

Paper Group AWR 240

February 1, 2020

The Ramanujan Machine: Automatically Generated Conjectures on Fundamental Constants. Ranked List Loss for Deep Metric Learning. Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning. Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports. Explaining Deep Learning-Based Networked Systems. Learning Partial Di …

Paper Group AWR 265

February 1, 2020

Continuous Meta-Learning without Tasks. Exact Combinatorial Optimization with Graph Convolutional Neural Networks. Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets. Metric Learning for Dynamic Text Classification. Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. Rethinking Zero …

Paper Group AWR 340

February 1, 2020

Contrastive Learning of Structured World Models. Span-based Joint Entity and Relation Extraction with Transformer Pre-training. Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems. Learning Vector-valued Functions wit …

Paper Group AWR 89

February 1, 2020

Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss. Towards a Robust Deep Neural Network in Texts: A Survey. Unconstrained Facial Expression Transfer using Style-based Generator. A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids. Restoring ancient te …

Paper Group AWR 94

February 1, 2020

Unified Language Model Pre-training for Natural Language Understanding and Generation. Balanced Crossover Operators in Genetic Algorithms. End-to-End Learning of Visual Representations from Uncurated Instructional Videos. Nonlinear Markov Random Fields Learned via Backpropagation. A Delay Metric for Video Object Detection: What Average Precision Fa …

Paper Group AWR 95

February 1, 2020

Searching for MobileNetV3. Explicit Shape Encoding for Real-Time Instance Segmentation. ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. Towards Optimal Discrete Online Hashing with Balanced Similarity. The Thermodynamic Variational Objective. A Learned Representation for Scalable Vector Graphics. Exact-K Recommendation …

Paper Group ANR 104

January 31, 2020

A Simulation Study of Social-Networking-Driven Smart Recommendations for Internet of Vehicles. AED: An Anytime Evolutionary DCOP Algorithm. Featuring the topology with the unsupervised machine learning. Concentration of risk measures: A Wasserstein distance approach. Probabilistic symmetry and invariant neural networks. PolyResponse: A Rank-based A …

Paper Group ANR 120

January 31, 2020

Declarative Data Analytics: a Survey. Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. Neural Design Network: Graphic Layout Generation with Constraints. Bottleneck potentials in Markov Random Fields. Learning to Segment Brain Anatomy from 2D Ultrasound with Les …

Paper Group ANR 153

January 31, 2020

Learning Heuristics over Large Graphs via Deep Reinforcement Learning. Optimal translational-rotational invariant dictionaries for images. Generative Model for Zero-Shot Sketch-Based Image Retrieval. Life is Random, Time is Not: Markov Decision Processes with Window Objectives. Energy Demand Prediction with Federated Learning for Electric Vehicle N …

Paper Group ANR 73

January 31, 2020

Automatic Differentiation for Complex Valued SVD. Big Data Analytics and AI in Mental Healthcare. An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing. Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. Drug-drug interaction prediction based on co-medication patterns and graph matching. Computi …

Paper Group ANR 208

January 30, 2020

Language-Conditioned Graph Networks for Relational Reasoning. Secure Federated Matrix Factorization. Learning chordal extensions. A Survey on Biomedical Image Captioning. Fault Tolerance of Neural Networks in Adversarial Settings. Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. Global Salien …

Paper Group ANR 216

January 30, 2020

Mean Field Analysis of Deep Neural Networks. EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. A Simple Dual-decoder Model for Generating Response with Sentiment. SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. Spectral clustering in the weighted stochastic block model. Geometric Image Corresp …

Paper Group ANR 236

January 30, 2020

Black-box Combinatorial Optimization using Models with Integer-valued Minima. Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks. Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network. Toward Robust Image Classification. In Vitro Fertilization (IVF) Cumulative Pr …

Paper Group ANR 237

January 30, 2020

Textual Adversarial Attack as Combinatorial Optimization. DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems. Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks. Data Poisoning a …

Paper Group ANR 309

January 30, 2020

Knowledge Adaptation for Efficient Semantic Segmentation. SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions. Unde …

Paper Group ANR 319

January 30, 2020

Discovery and Separation of Features for Invariant Representation Learning. Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data. Modeling somatic computation with non-neural bioelectric networks. Learning from Bandit Feedback: An Overview of the State-of-the-art. Implicit Regularization for Optimal Sparse …

Paper Group ANR 320

January 30, 2020

MDFN: Multi-Scale Deep Feature Learning Network for Object Detection. Iterated two-phase local search for the Set-Union Knapsack Problem. Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout. The Optimal Approximation Factor in …

Paper Group ANR 369

January 30, 2020

Self-Assignment Flows for Unsupervised Data Labeling on Graphs. Manifold Fitting under Unbounded Noise. Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates. Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network. Interpreting Distortions in Dimensionality Reduction by Superimposing Nei …