Point Processes

Paper Group ANR 1161

January 27, 2020

Dialog State Tracking with Reinforced Data Augmentation. Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning. SPair-71k: A Large-scale Benchmark for Semantic Correspondence. Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology. Self-Training for End-to-End Speech Recognition. Expressing Visu …

Paper Group ANR 1162

January 27, 2020

Can We Distinguish Machine Learning from Human Learning?. Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method. Slot Based Image Augmentation System for Object Detection. A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation. Robustness of Neural Networks: A Pr …

Paper Group ANR 1319

January 27, 2020

Interactive Image Segmentation using Label Propagation through Complex Networks. A General Decoupled Learning Framework for Parameterized Image Operators. Improving performance and inference on audio classification tasks using capsule networks. Transductive Parsing for Universal Decompositional Semantics. Referring to Objects in Videos using Spatio …

Paper Group ANR 1334

January 27, 2020

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. 3D Morphable Face Models – Past, Present and Future. DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input. Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. …

Paper Group ANR 1440

January 26, 2020

Compressing Representations for Embedded Deep Learning. Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. DScribe: Library of Descriptors for Machine Learning in Materials Science. Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. Harmon …

Paper Group ANR 1495

January 26, 2020

Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network. Ask less - Scale Market Research without Annoying Your Customers. BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading. Weighted graphlets and deep neural networks for protein structure classification. Bold Hearts Team Descript …

Paper Group ANR 1496

January 26, 2020

Paper Group ANR 1498

January 26, 2020

Multiple Learning for Regression in big data. Bayes Optimal Early Stopping Policies for Black-Box Optimization. Newswire versus Social Media for Disaster Response and Recovery. Learning to Relate from Captions and Bounding Boxes. Countering Language Drift via Visual Grounding. Occluded Face Recognition Using Low-rank Regression with Generalized Gra …

Paper Group ANR 1499

January 26, 2020

Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks. Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search. Leveraging Human Guidance for Deep Reinforcement Learning Tasks. Accelerating Goal-Directed Reinforcement Learning by Model Characterization. High Accuracy an …

Paper Group ANR 1526

January 26, 2020

Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. Correlation Coefficients and Semantic Textual Similarity. DPPNet: Approximating Determinantal Point Processes with Deep Networks. ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition. DeepSFM: Structure From Motion Vi …

Paper Group ANR 1560

January 26, 2020

Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud. Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila. Deep Eikonal Solvers. Deep Reinforcement Learning Based Power control for Wireless Multicast Systems. Point Process Flows. Oversampling Log Messages Using a Sequence Generative Ad …

Paper Group ANR 1594

January 26, 2020

Higher-order Weighted Graph Convolutional Networks. Progressive VAE Training on Highly Sparse and Imbalanced Data. IAN: Combining Generative Adversarial Networks for Imaginative Face Generation. Spatially regularized active diffusion learning for high-dimensional images. An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended …

Paper Group ANR 1655

January 25, 2020

Learning Embeddings from Cancer Mutation Sets for Classification Tasks. Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding. A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. Fraud Detection in Networks: State-of-the-art. Deep lea …

Paper Group ANR 1712

January 25, 2020

Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification. Helping IT and OT Defenders Collaborate. Integrating Dict …

Paper Group NANR 58

January 25, 2020

Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages. Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition. ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching. YNU_DYX at SemEval-2019 Task 5: A Stacked BiGRU Model Based on Capsule Network in Detection …

Paper Group NAWR 26

January 25, 2020

iComposer: An Automatic Songwriting System for Chinese Popular Music. Distributed Low-rank Matrix Factorization With Exact Consensus. XQA: A Cross-lingual Open-domain Question Answering Dataset. Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. Ghmerti at SemEval-2019 Task 6: A Deep Word- and Ch …

Paper Group NAWR 36

January 25, 2020

A Composable Specification Language for Reinforcement Learning Tasks. Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets. Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. Prediction of Spatial Point Pr …

Paper Group NAWR 37

January 25, 2020

Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces. An Empirical Study on Pre-trained Embeddings and Language Models for Bot Detection. Annotating with Pros and Cons of Technologies in Computer Science Papers. Input-Output Equivalence of Unitary and Contractive RNNs. Sel …

Paper Group NANR 148

January 24, 2020

Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. Thinning for Accelerating the Learning of Point Processes. Improving Word Embeddings Using Kernel PCA. Conceptual Change and Distributional Semantic Models: an Exploratory Study on Pitfalls and Possibilities. Extracting Complex Relations from Banking Documents. Structural Relat …

Paper Group NANR 207

January 24, 2020

Emoji Usage Across Platforms: A Case Study for the Charlottesville Event. Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing. Recognizing UMLS Semantic Types with Deep Learning. MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction. Relation Extraction among Multip …

Paper Group NANR 228

January 24, 2020

Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition. Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes. Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes. Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learn …