Complexity Guarantees for Polyak Steps with Momentum. Supervised Learning on Relational Databases with Graph Neural Networks. Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. Synthesizing human-like sketches from natural images using a conditional convolutional decoder. TaskNorm: Rethinking Batch …

Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning. DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior. Parsing as Pretraining. Segmented Graph-Bert for Graph Instance Modeling. Structured Prediction with Partial Labelling through the Infimum Loss. A Bayesian algo …

Selective Weak Supervision for Neural Information Retrieval. Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits. Adaptive Offline Quintuplet Loss for Image-Text Matching. Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE. Exponential Step Sizes for Non-Convex Optimization. Tree++: Truncat …

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!. Adaptive Propagation Graph Convolutional Network. Constant-Delay Enumeration for Nondeterministic Document Spanners. The Two-Pass Softmax Algorithm. Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. Predict …

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors. A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation. sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. On the Discrepancy between Density Estimation …

Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders. The value of text for small business default prediction: A deep learning approach. Counting dense objects in remote sensing images. Spatio-Temporal Action Detection with Multi-Object Interaction. Table Structure Extraction w …

Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation. Effects of annotation granularity in deep learning models for histopathological images. Generating Scientific Question Answering Corpora from Q&A forums. Data Vision: Learning to See Through Algorithmic Abstraction. Unsupervised Semantic Attribute Discovery and Control in …

Depth Completion using a View Constrained Deep Prior. Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson’s Disease. Amplifying The Uncanny. Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially …

SuperNet – An efficient method of neural networks ensembling. SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. Analysis of the quotation corpus of the Russian Wiktionary. Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised L …

SCELMo: Source Code Embeddings from Language Models. AN ATTENTION-BASED DEEP NET FOR LEARNING TO RANK. Probability Calibration for Knowledge Graph Embedding Models. Random Bias Initialization Improving Binary Neural Network Training. LEVERAGING AUXILIARY TEXT FOR DEEP RECOGNITION OF UNSEEN VISUAL RELATIONSHIPS. Learning Likelihoods with Conditional …

Adversarial AutoAugment. Episodic Reinforcement Learning with Associative Memory. Plug and Play Language Model: A simple baseline for controlled language generation. Abductive Commonsense Reasoning. Once for All: Train One Network and Specialize it for Efficient Deployment. DeFINE: Deep Factorized Input Word Embeddings for Neural Sequence Modeling. …

Extreme Value k-means Clustering. Disentangling Style and Content in Anime Illustrations. Effects of Linguistic Labels on Learned Visual Representations in Convolutional Neural Networks: Labels matter!. Learning from Imperfect Annotations: An End-to-End Approach. Fuzzing-Based Hard-Label Black-Box Attacks Against Machine Learning Models. SGD with H …

FR-GAN: Fair and Robust Training. Learning Video Representations using Contrastive Bidirectional Transformer. Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models. Certified Robustness to Adversarial Label-Flipping Attacks via Randomized Smoothing. Exploration via Flow-Based Intrinsic Rewards. Robust Domain R …

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 …