Papers
Fri 27 Aug 2021
124 papers
- CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer SegmentationKnowledge distillation → Distillation for medical imaging
- WAD: A Deep Reinforcement Learning Agent for Urban Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- A Web Scale Entity Extraction System
- Auctions and Peer Prediction for Academic Peer Review
- Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching
- Classifying Organisms and Artefacts By Their Shapes
- Modeling the effect of the vaccination campaign on the Covid-19 pandemic
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
- A Convolutional Neural Network-based Approach to Field Reconstruction
- Representation and Processing of Instantaneous and Durative Temporal Phenomena
- Feature Importance in a Deep Learning Climate Emulator
- Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin
- Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure
- Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
- TweetBLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter
- Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels
- SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
- Few-Shot Table-to-Text Generation with Prototype Memory
- Convergence Rates for Learning Linear Operators from Noisy Data
- Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
- Robustness Disparities in Commercial Face Detection
- Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging
- On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks
- Variational embedding of protein folding simulations using gaussian mixture variational autoencoders
- Disrupting Adversarial Transferability in Deep Neural Networks
- Fractal measures of image local features: an application to texture recognition
- VisGraphNet: a complex network interpretation of convolutional neural features
- Using Graph Neural Networks to model the performance of Deep Neural Networks
- Opinions are Made to be Changed: Temporally Adaptive Stance Classification
- Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights
- ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
- Machine learning on DNA-encoded library count data using an uncertainty-aware probabilistic loss function
- Learning Inner-Group Relations on Point Clouds
- Code-switched inspired losses for generic spoken dialog representations
- Automatic Text Evaluation through the Lens of Wasserstein Barycenters
- Approximate Bayesian Optimisation for Neural Networks
- High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
- From Pivots to Graphs: Augmented CycleDensity as a Generalization to One Time InverseConsultation
- Convolutional Autoencoders for Reduced-Order Modeling
- Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
- SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory
- Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
- A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays
- DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction
- A Guide to Computational Reproducibility in Signal Processing and Machine Learning
- ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
- A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data
- FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
- DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
- Application of Classification and Feature Selection in Building Energy Simulations
- Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
- A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation
- Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder
- Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading
- SMT-Based Safety Verification of Data-Aware Processes under Ontologies (Extended Version)
- CAPE: Context-Aware Private Embeddings for Private Language Learning
- Multiple Hypothesis Testing Framework for Spatial Signals
- TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
- An Adaptive Clustering Approach for Accident Prediction
- Latent Tree Decomposition Parsers for AMR-to-Text Generation
- Tree Decomposition Attention for AMR-to-Text Generation
- Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems
- Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
- A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization
- Music Composition with Deep Learning: A Review
- End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings
- A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
- Active Inference for Stochastic Control
- Deep learning models are not robust against noise in clinical text
- Geometric Models for (Temporally) Attributed Description Logics
- Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
- Evaluating the Robustness of Neural Language Models to Input Perturbations
- ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
- Injecting Text in Self-Supervised Speech Pretraining
- Fast Rule-Based Clutter Detection in Automotive Radar Data
- Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
- Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
- This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
- A Partition Filter Network for Joint Entity and Relation Extraction
- Learning primal-dual sparse kernel machines
- Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
- Translation Error Detection as Rationale Extraction
- TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
- Man versus Machine: AutoML and Human Experts' Role in Phishing Detection
- Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
- GLocal-K: Global and Local Kernels for Recommender Systems
- Graph-based Incident Aggregation for Large-Scale Online Service Systems
- MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
- Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
- Rethinking the Misalignment Problem in Dense Object Detection
- Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition
- Quantum Sub-Gaussian Mean Estimator
- LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links
- Provable Tensor-Train Format Tensor Completion by Riemannian Optimization
- Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
- Improving callsign recognition with air-surveillance data in air-traffic communication
- A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images
- Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics
- Lyra: A Benchmark for Turducken-Style Code Generation
- DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
All 124
- Secoco: Self-Correcting Encoding for Neural Machine Translation
- Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
- Task-aware Warping Factors in Mask-based Speech Enhancement
- Automated Generation of Accurate & Fluent Medical X-ray Reports
- Canoe : A System for Collaborative Learning for Neural Nets
- Reinforcement Learning-powered Semantic Communication via Semantic Similarity
- Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
- Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition
- Identification of Vehicle Dynamics Parameters Using Simulation-based Inference
- A method of supervised learning from conflicting data with hidden contexts
- Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
- Lingxi: A Diversity-aware Chinese Modern Poetry Generation System
- An Introduction to Hamiltonian Monte Carlo Method for Sampling
- Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement
- Binocular Mutual Learning for Improving Few-shot Classification
- FOVEA: Foveated Image Magnification for Autonomous Navigation
- A framework for massive scale personalized promotion
- Learning to Give Checkable Answers with Prover-Verifier Games
- Anomaly Detection on IT Operation Series via Online Matrix Profile
- Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
- Deep Denoising Method for Side Scan Sonar Images without High-quality Reference Data
- Detection and Continual Learning of Novel Face Presentation Attacks
- 4-bit Quantization of LSTM-based Speech Recognition Models
- Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method