An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. When Vehicles See Pedestrians with Phones:A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians. Consistent Robust Adversarial Prediction for General Multiclass Classification. Dynamic Vision Sensors for Human Activity Recognition. Inhibite …

Actor Conditioned Attention Maps for Video Action Detection. Certified Defenses against Adversarial Examples. AirLab: Autograd Image Registration Laboratory. Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. One-Shot Unsupervised Cross Domain Translation. L4: Practical loss-based stepsize adaptation for …

EMI: Exploration with Mutual Information. Hierarchical Methods of Moments. Classification from Pairwise Similarity and Unlabeled Data. A tutorial on Particle Swarm Optimization Clustering. Exploiting Unintended Feature Leakage in Collaborative Learning. Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN. Multimo …

Model identification for ARMA time series through convolutional neural networks. LNEMLC: Label Network Embeddings for Multi-Label Classification. Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound. Projection-Free Bandit Convex Optimization. A Recurrent Convolutional Neural Network Approach for Sensorless Fo …

Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning. Unsupervised Attention-guided Image to Image Translation. Semantic Edge Detection with Diverse Deep Supervision. Zero-Shot Sketch-Image Hashing. Three Birds One Stone: A General Architecture for Salient Object Segmentation, Edge Detection and Skeleton Extractio …

Stronger Data Poisoning Attacks Break Data Sanitization Defenses. Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network. AI Blue Book: Vehicle Price Prediction using Visual Features. Generating Diverse and Meaningful Captions. DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map. Counterexample-Guided Data A …

Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling. Representing Sets as Summed Semantic Vectors. Performance Analysis of Robust Stable PID Controllers Using Dominant Pole Placement for SOPTD Process Models. On the overfly algorithm in deep learning of neural networks. The Importance of Being …

Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon. Towards a more efficient representation of imputation operators in TPOT. Differentiable Greedy Networks. CNN-Based Detection of Generic Constrast Adjustment with JPEG Post-processing. Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. …

Model selection by minimum description length: Lower-bound sample sizes for the Fisher information approximation. Convolutional Neural Networks combined with Runge-Kutta Methods. Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. Learning Visual Knowledge Memory Networks for Visual Question Answering. Extreme Learning …

On Strategyproof Conference Peer Review. Exponential inequalities for nonstationary Markov Chains. Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments. XOGAN: One-to-Many Unsupervised Image-to-Image Translation. Full-pulse Tomographic Reconstruction with Deep Neural Networks. Comparative Evaluation of …

Covfefe: A Computer Vision Approach For Estimating Force Exertion. Approximate Survey Propagation for Statistical Inference. Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. Scalable Multi-Task Gaussian Process Tensor Regressi …

Multi-level Memory for Task Oriented Dialogs. Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. Semi-Dense 3D Reconstruction with a Stereo Event Camera. Specular-to-Diffuse Translation for Multi-View Reconstruction. Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction. Boundary-guided Fea …

Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks. On Geometric Analysis of Affine Sparse Subspace Clustering. The comb …

Recurrent Neural Networks based Obesity Status Prediction Using Activity Data. 3D Video Quality Assessment. Refacing: reconstructing anonymized facial features using GANs. Plug-In Stochastic Gradient Method. LinkNBed: Multi-Graph Representation Learning with Entity Linkage. Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Contro …

Fast Exact Computation of Expected HyperVolume Improvement. Weakly supervised collective feature learning from curated media. External Patch-Based Image Restoration Using Importance Sampling. Context-aware Synthesis for Video Frame Interpolation. WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. Cross-Do …

Subword-level Word Vector Representations for Korean. Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.. Knowledge Diffusion for Neural Dialogue Generation. Slot-Gated Modeling for Joint Slot Filling and Intent Prediction. RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network. Beyond …