SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. Processing topical queries on images of historical newspaper pages. Learning Functionally Decomposed Hierarchies for Continuous Control Tasks. Hierarchical Reinforcement Learning as a Model of Human Task Interleaving. Effect of Confidence and E …

Learning Distributional Programs for Relational Autocompletion. From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. Domain segmentation and adjustment for generalized zero-shot learning. Zero-Shot Activity Recognition with Videos. Stacked Boosters Network Architecture for Short Term …

Balancedness and Alignment are Unlikely in Linear Neural Networks. A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels. Linearly Constrained Neural Networks. Sample Complexity Result for Multi-category Classifiers of Bounded Variation. Communication-Efficient Massive UAV Online Path Control: Federa …

Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint. Stochastic L-system Inference from Multiple String Sequence Inputs. Robust data encodings for quantum classifiers. A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups. Smooth markets: A basic mechanism for organizing gradient-based learners. The pr …

Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation. Sample-Specific Output Constraints for Neural Networks. Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification. Semi-Implicit Back Propagation. Learn and Transfer Knowledge of Preferred Assistance Strategies in S …

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images. FOCUS: Dealing with Label Quality Disparity in Federated Learning. Secure Metric Learning via Differential Pairwise Privacy. OpenGAN: Open Set Generative Adversarial Networks. Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. Bui …

Exploring Neural Models for Parsing Natural Language into First-Order Logic. Advanced kNN: A Mature Machine Learning Series. Universal Successor Features for Transfer Reinforcement Learning. Adapting to Unseen Environments through Explicit Representation of Context. Bayesian optimization of variable-size design space problems. SPFCN: Select and Pru …

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. Measuring Calibration in Deep Learning. Partial Simulation for Imitation Learning. Semi-supervised 3D Face Reconstruction with Nonlinear Disentangled Representations. iWGAN: an Autoencoder WGAN for Inference. A Syntax-Aware Approach for Unsupervised Text Style Tra …

Policy Optimization by Local Improvement through Search. Anchor & Transform: Learning Sparse Representations of Discrete Objects. Low Bias Gradient Estimates for Very Deep Boolean Stochastic Networks. Learning General and Reusable Features via Racecar-Training. Attention Forcing for Sequence-to-sequence Model Training. Stabilizing DARTS with Amende …

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 …