Papers
Tue 26 Jan 2021
150 papers
- A region-based descriptor network for uniformly sampled keypoints
- Unsupervised Abstractive Summarization of Bengali Text Documents
- Transforming India's Agricultural Sector using Ontology-based Tantra Framework
- Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems
- Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering
- Community Detection in the Stochastic Block Model by Mixed Integer Programming
- Contrastive analysis for scatterplot-based representations of dimensionality reduction
- Uncertainty aware and explainable diagnosis of retinal disease
- Overestimation learning with guarantees
- A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
- Better sampling in explanation methods can prevent dieselgate-like deception
- Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images
- Medical Segment Coloring of Clinical Notes
- Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data
- Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation
- Open-domain Topic Identification of Out-of-domain Utterances using Wikipedia
- Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors
- CLiMP: A Benchmark for Chinese Language Model Evaluation
- Named Entity Recognition in the Style of Object Detection
- Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
- Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment
- Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation
- Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions
- First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
- New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition
- Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification
- EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting
- Unsupervised tree boosting for learning probability distributions
- The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs
- Deep Video Inpainting Detection
- Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization
- Property Inference From Poisoning
- The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
- Logical-Combinatorial Approaches in Dynamic Recognition Problems
- Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers
- Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
- Supervised Momentum Contrastive Learning for Few-Shot Classification
- LDLE: Low Distortion Local Eigenmaps
- Generalized Doubly Reparameterized Gradient Estimators
- Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT
- Complementary Composite Minimization, Small Gradients in General Norms, and Applications
- A Comparison of Approaches to Document-level Machine Translation
- Muppet: Massive Multi-task Representations with Pre-Finetuning
- Average Localised Proximity: A new data descriptor with good default one-class classification performance
- On formal concepts of random formal contexts
- Supervised quantum machine learning models are kernel methods
- FDApy: a Python package for functional data
- New Algorithms for Computing Field of Vision over 2D Grids
- SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
- Deep Burst Super-Resolution
- Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
- Unsupervised clustering of series using dynamic programming and neural processes
- Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
- Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison
- Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
- Investment vs. reward in a competitive knapsack problem
- RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
- Predicting the future with a scale-invariant temporal memory for the past
- "Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space
- Incremental Search Space Construction for Machine Learning Pipeline Synthesis
- Asymptotic Supervised Predictive Classifiers under Partition Exchangeability
- Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
- Attention Can Reflect Syntactic Structure (If You Let It)
- Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks
- I Beg to Differ: A study of constructive disagreement in online conversations
- Learning-Based Patch-Wise Metal Segmentation with Consistency Check
- Nondiscriminatory Treatment: a straightforward framework for multi-human parsing
- Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?
- Online Body Schema Adaptation through Cost-Sensitive Active Learning
- USP: an independence test that improves on Pearson's chi-squared and the G-test
- Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders
- Spark NLP: Natural Language Understanding at Scale
- Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
- Impact of Explanation on Trust of a Novel Mobile Robot
- Semi-synthesis: A fast way to produce effective datasets for stereo matching
- CPTR: Full Transformer Network for Image Captioning
- ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning
- Global-Local Propagation Network for RGB-D Semantic Segmentation
- ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
- Efficient video integrity analysis through container characterization
- Adversarial Vulnerability of Active Transfer Learning
- The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards
- Developing emotion recognition for video conference software to support people with autism
- Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion
- CoMo: A novel co-moving 3D camera system
- Lightweight Multi-Branch Network for Person Re-Identification
- LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view
- Benchmarking Invertible Architectures on Inverse Problems
- An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
- Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising
- Summarising Historical Text in Modern Languages
- Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models
- Dynamic prediction of time to event with survival curves
- Consistent Mesh Colors for Multi-View Reconstructed 3D Scenes
- Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations
- Data sharing games
- Short-term prediction of Time Series based on bounding techniques
- Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
- Exploring Transitivity in Neural NLI Models through Veridicality
- Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
All 150
- Few-Shot Semantic Parsing for New Predicates
- A fast algorithm for complex discord searches in time series: HOT SAX Time
- AINet+: Advancing Superpixel Segmentation via Cascaded Association Implantation
- Leveraging 3D Information in Unsupervised Brain MRI Segmentation
- Ordinal Monte Carlo Tree Search
- Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification
- Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
- Variational Information Bottleneck Model for Accurate Indoor Position Recognition
- Neural machine translation, corpus and frugality
- Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks
- Causal inference for observational longitudinal studies using deep survival models
- Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks
- Probability distributions for analog-to-target distances
- Semi-supervised source localization in reverberant environments with deep generative modeling
- ResLT: Residual Learning for Long-tailed Recognition
- Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks
- Hyper-optimization with Gaussian Process and Differential Evolution Algorithm
- Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
- Identification of brain states, transitions, and communities using functional MRI
- A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
- Probability Trajectory: One New Movement Description for Trajectory Prediction
- Glioblastoma Multiforme Patient Survival Prediction
- Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration
- Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology
- SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
- Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
- Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
- Representations for Question Answering from Documents with Tables and Text
- Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
- Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
- Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
- Self Sparse Generative Adversarial Networks
- A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
- A Unified Paths Perspective for Pruning at Initialization
- RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
- Iterative Weak Learnability and Multi-Class AdaBoost
- Ear Recognition
- Towards Entity Alignment in the Open World: An Unsupervised Approach
- Deep Learning for Scene Classification: A Survey
- El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing
- How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
- Generic Event Boundary Detection: A Benchmark for Event Segmentation
- Continual Learning of Visual Concepts for Robots through Limited Supervision
- Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm
- On the Evaluation of Vision-and-Language Navigation Instructions
- Model-agnostic interpretation by visualization of feature perturbations
- A Digital Corpus of St. Lawrence Island Yupik
- Fast Non-line-of-sight Imaging with Two-step Deep Remapping
- Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits
- Symmetric Monoidal Categories with Attributes