Papers
Fri 29 Jan 2021
104 papers
- Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding
- Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks
- Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning
- Cross-domain Activity Recognition via Substructural Optimal Transport
- Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals
- Safety Case Templates for Autonomous Systems
- Acoustic Structure Inverse Design and Optimization Using Deep Learning
- ADePT: Auto-encoder based Differentially Private Text Transformation
- Enterprise domain ontology learning from web-based corpus
- A Statistician Teaches Deep Learning
- Fine-tuning BERT-based models for Plant Health Bulletin Classification
- Implicit Feedback-based Group Recommender System for Internet of Thing Applications
- Counterfactual Planning in AGI Systems
- SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction
- Synthetic Data and Hierarchical Object Detection in Overhead Imagery
- Adaptive Sequential Design for a Single Time-Series
- Belief function-based semi-supervised learning for brain tumor segmentation
- Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs
- Reinforcement Learning for Freight Booking Control Problems
- Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling
- Challenges in Automated Debiasing for Toxic Language Detection
- A linearized framework and a new benchmark for model selection for fine-tuning
- Reduced operator inference for nonlinear partial differential equations
- Settling the Sharp Reconstruction Thresholds of Random Graph Matching
- CAMBI: Contrast-aware Multiscale Banding Index
- Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning
- RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference
- Recurrent Localization Networks applied to the Lippmann-Schwinger Equation
- Neural 3D Clothes Retargeting from a Single Image
- Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse
- Sequential prediction under log-loss and misspecification
- Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator
- Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
- Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure
- You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries
- Gesture Recognition in Robotic Surgery: a Review
- Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
- Post-OCR Paragraph Recognition by Graph Convolutional Networks
- N-grams Bayesian Differential Privacy
- Speech Enhancement for Wake-Up-Word detection in Voice Assistants
- BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
- Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
- State of the Art: Content-based and Hybrid Phishing Detection
- Predicting Nanorobot Shapes via Generative Models
- Between steps: Intermediate relaxations between big-M and convex hull formulations
- Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
- Reservoir Computing with Magnetic Thin Films
- Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
- Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing
- Towards Generalising Neural Implicit Representations
- Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques
- Inductive Synthesis for Probabilistic Programs Reaches New Horizons
- Total Stability of SVMs and Localized SVMs
- Diminishing Domain Bias by Leveraging Domain Labels in Object Detection on UAVs
- NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network
- Enhancing the Transformer Decoder with Transition-based Syntax
- Optimizing αμ
- CD2CR: Co-reference Resolution Across Documents and Domains
- The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection
- Polynomial Trajectory Predictions for Improved Learning Performance
- DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network
- Open World Compositional Zero-Shot Learning
- Does injecting linguistic structure into language models lead to better alignment with brain recordings?
- No-Regret Caching via Online Mirror Descent
- Out-of-Town Recommendation with Travel Intention Modeling
- Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification
- BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
- Few-Shot Learning for Road Object Detection
- Optimal strategies for reject option classifiers
- Sequential Mechanisms for Multi-type Resource Allocation
- Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
- Challenges for Using Impact Regularizers to Avoid Negative Side Effects
- Learning User Preferences in Non-Stationary Environments
- Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease
- Tree-based Node Aggregation in Sparse Graphical Models
- Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
- Efficient-CapsNet: Capsule Network with Self-Attention Routing
- Self-Supervised Pretraining for RGB-D Salient Object Detection
- Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity
- Beyond traditional assumptions in fair machine learning
- AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
- Robust Representation Learning with Feedback for Single Image Deraining
- Synthesizing Monolingual Data for Neural Machine Translation
- RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
- The Mind's Eye: Visualizing Class-Agnostic Features of CNNs
- Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
- Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
- Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs
- Subgraph nomination: Query by Example Subgraph Retrieval in Networks
- Covariance Prediction via Convex Optimization
- Low Rank Forecasting
- An adaptive artificial neural network-based generative design method for layout designs
- Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning
- Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization
- Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans
- Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
- Re Learning Memory Guided Normality for Anomaly Detection
- NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
- Adversarial Learning with Cost-Sensitive Classes
- Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection