Representation Tradeoffs for Hyperbolic Embeddings. GANs beyond divergence minimization. Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. Geometry-Contrastive GAN for Facial Expression Transfer. InstaNAS: Instance-aware Neural Architecture Search. Adversarial Uncertainty Quantification in Physics-Informed Neural Network …

Let’s Dance: Learning From Online Dance Videos. Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. Movie Recommendation System using Sentiment Analysis from Microblogging Data. An Introductory Survey on Attention Mechanisms in NLP Problems. Near-lossless Binarization of Word Embeddings. Learning to Encode T …

Convex Class Model on Symmetric Positive Definite Manifolds. Don’t Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation. Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. Towards the Targeted Environment-Specific Evolution of Robot Components. Sample Dropout for Audio Sc …

Differentially Private Bayesian Inference for Exponential Families. Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm. Found Graph Data and Planted Vertex Covers. Deblending galaxy superpositions with branched generative adversarial networks. Scientific image rendering for spac …

Quantum Statistics-Inspired Neural Attention. Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo. On Numerical Estimation of Joint Probability Distribution from Lebesgue Integral Quadratures. Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures. Causal Interventions for Fairness. Segment-based …

Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN. Machine Learning for Public Administration Research, with Application to Organizational Reputation. Subspace Embedding and Linear Regression with Orlicz Norm. SurReal: enhancing Surgical simulation Realism using style transfer. A punishment voting algorithm based on super …

Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss. Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. Information Maximizing Exploration with a Latent Dynamics Model. Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images. Fine-tuning t …

Acoustic Scene Classification: A Competition Review. Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when …