Tracking without bells and whistles. Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. IoU-uniform R-CNN: Breaking Through the Limitations of RPN. MoGA: Searching Beyond MobileNetV3. Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. BERT has a Mouth, and It Must Speak: BERT as a Mark …

Additive function approximation in the brain. Non-parametric Uni-modality Constraints for Deep Ordinal Classification. Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts. Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. Hierarchical Pointer Net Parsing. TANDA: Transfe …

Arabic Text Diacritization Using Deep Neural Networks. Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation. Topological Machine Learning for Multivariate Time Series. Uncovering the Semantics of Wikipedia Categories. Estimating Information-Theoretic Quantities with Uncertainty Forests. A Prior of a Googol Gaus …

DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks. Implicit Semantic Data Augmentation for Deep Networks. Prose for a Painting. Topics to Avoid: Demoting Latent Confounds in Text Classification. Ranking Policy Gradient. Zero-shot transfer for implicit discourse relation classification. Urban Driving with Conditio …

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. P-ODN: Prototype based Open Deep Network for Open Set Recognition. LATTE: Latent Type Modeling for Biomedical Entity Linking. YELM: End-to-End Contextualized Entity Linking. Object Detection in Specific Traffic Scenes using …

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. A Method for Identifying Origin of Digital Images Using a Convolution Neural Network. A frame semantic overview of NLP-based information extraction for cancer-related EHR notes. Remaining Useful Lif …

Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization. A neural network based policy iteration algorithm with global $H^2$-superlinear convergence for stochastic games on domains. Representing text as abstract images enables image classifiers to also simultaneously classify text. Representation of Federated Learning via Worst-Ca …

Extreme Tensoring for Low-Memory Preconditioning. Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. A cost-reducing partial labeling estimator in text classification problem. A Visual Programming Paradigm for Abstract Deep Learning Model Development. Analyzing Deep Neural Networks with Symbolic Propagation: Tow …

The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic. Generating Abstractive Summaries with Finetuned Language Models. Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation. A Generative Adversarial Density Estimator. Generalization Error Analysis of Quantized Compressive Learning. Wikipedia as a Reso …

A Deep Learning-Based System for PharmaCoNER. Term Based Semantic Clusters for Very Short Text Classification. A Robust Self-Learning Framework for Cross-Lingual Text Classification. Similar Minds Post Alike: Assessment of Suicide Risk Using a Hybrid Model. Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation. Surface R …

Exploring and Enhancing the Transferability of Adversarial Examples. Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution. DelibGAN: Coarse-to-Fine Text Generation via Adversarial Network. Improving Neural Entity Disambiguation with Graph Embeddings. Semantics and Homothetic Clustering of Hafez Poetry. Selective Convolutional Units …