Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. FMT:Fusing Multi-task Convolutional Neural Network for Person Search. Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. Differentially Private Federated Learning for Resource-Constrained Internet of Things. Absolute Shapley Valu …

Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations. CompLex — A New Corpus for Lexical Complexity Predicition from Likert Scale Data. MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing. Machine Learning for Network Slicing Resource Management: A Comprehensive Survey. Meshlet Priors for 3D Mesh Reconstructio …

Fast is better than free: Revisiting adversarial training. Blurry Video Frame Interpolation. CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description. Boosting Adversarial Training with Hypersphere Embedding. Collaborative Motion Prediction via Neural Motion Message Passing …

ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images. Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations. Machine-Learning-Based Diagnostics of EEG Pathology. MAST: A Memory-Augmented Self-supervised Tracker. Selecting time-series hyperparameters with the ar …

FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. Toward Low-Cost and Stable Blockchain Networks. A Novel Image Dehazing and Assessment Method. Deep-Learning-Enabled Simulated Annealing for Topology Optimizat …

Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations. Generating Object Stamps. Reinforcement Learning with Goal-Distance Gradient. Applying Gene Expression Programming for Solving One-Dimensional Bin-Packing Problems. TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Dom …

Symplectic Recurrent Neural Networks. Model-Augmented Actor-Critic: Backpropagating through Paths. Detecting Change in Seasonal Pattern via Autoencoder and Temporal Regularization. Weakly Supervised Clustering by Exploiting Unique Class Count. LARGE SCALE REPRESENTATION LEARNING FROM TRIPLET COMPARISONS. ICNN: INPUT-CONDITIONED FEATURE REPRESENTATI …

Phase Transitions for the Information Bottleneck in Representation Learning. DO-AutoEncoder: Learning and Intervening Bivariate Causal Mechanisms in Images. Task-Mediated Representation Learning. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. Learning Multi-facet Embeddings of Phrases and Sentences using Sparse Coding for U …

Attributes Obfuscation with Complex-Valued Features. IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. Progressive Upsampling Audio Synthesis via Effective Adversarial Training. Accelerating SGD with momentum for over-parameterized learning. Estimating Gradients for Discrete Random Variables by Sampling without Re …