Papers
Wed 29 Sep 2021
174 papers
- Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)Offline RL and imitation learning from data → Imitation learning methods
- Generative Probabilistic Image ColorizationDiffusion models → Image generation, text-to-image and editing
- Multimodal Emotion Recognition with High-level Speech and Text Features
- Analysing the Effect of Masking Length Distribution of MLM: An Evaluation Framework and Case Study on Chinese MRC Datasets
- Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
- DNN-assisted Particle-based Bayesian Joint Synchronization and Localization
- Designing Complex Experiments by Applying Unsupervised Machine Learning
- Development of an autism screening classification model for toddlers
- MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
- Does deep learning model calibration improve performance in class-imbalanced medical image classification?
- Multi Expression Programming -- an in-depth description
- Convolution-Free Waveform Transformers for Multi-Lead ECG Classification
- Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications
- Stock Index Prediction using Cointegration test and Quantile Loss
- Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
- On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
- Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
- A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
- MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
- Kernel distance measures for time series, random fields and other structured data
- Improvising the Learning of Neural Networks on Hyperspherical Manifold
- The Object at Hand: Automated Editing for Mixed Reality Video Guidance from Hand-Object Interactions
- Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data
- Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
- Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
- Egocentric Hand-object Interaction Detection and Application
- Batched Bandits with Crowd Externalities
- The MatrixX Solver For Argumentation Frameworks
- Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning
- Collaborative Storytelling with Human Actors and AI Narrators
- Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
- Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
- BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
- Deep neural networks with controlled variable selection for the identification of putative causal genetic variants
- USIS: Unsupervised Semantic Image Synthesis
- Explanation-Aware Experience Replay in Rule-Dense Environments
- Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
- BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
- Adaptive Approach For Sparse Representations Using The Locally Competitive Algorithm For Audio
- Sequential Estimation under Multiple Resources: a Bandit Point of View
- Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things
- Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding
- Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model
- LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network
- Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
- Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning
- Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning
- Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis
- Active Refinement for Multi-Label Learning: A Pseudo-Label Approach
- Data Sharing and Compression for Cooperative Networked Control
- Segmentation of Roads in Satellite Images using specially modified U-Net CNNs
- Stroke recovery phenotyping through network trajectory approaches and graph neural networks
- Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation
- An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
- Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
- A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction
- FathomNet: A global image database for enabling artificial intelligence in the ocean
- Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
- Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning
- Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
- Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
- Towards Flexible Blind JPEG Artifacts Removal
- An Expert System for Redesigning Software for Cloud Applications
- Implicit Generative Copulas
- Robust Temporal Ensembling for Learning with Noisy Labels
- Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization
- Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
- PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting
- Deep Spatio-Temporal Wind Power Forecasting
- Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions
- DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
- Online Robust Reinforcement Learning with Model Uncertainty
- On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
- PAC-Bayes Information Bottleneck
- Untangling Braids with Multi-agent Q-Learning
- Towards a theory of out-of-distribution learning
- Automatic Discovery and Description of Human Planning Strategies
- Variational Inference for Continuous-Time Switching Dynamical Systems
- CCTrans: Simplifying and Improving Crowd Counting with Transformer
- Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST
- Programmable Spectral Filter Arrays using Phase Spatial Light Modulator
- One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
- Multi-loss ensemble deep learning for chest X-ray classification
- PyHard: a novel tool for generating hardness embeddings to support data-centric analysis
- Minimal Expected Regret in Linear Quadratic Control
- Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties
- Multi-class Probabilistic Bounds for Self-learning
- FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition
- On the Estimation Bias in Double Q-Learning
- Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
- Neural Knitworks: Patched Neural Implicit Representation Networks
- BiQUE: Biquaternionic Embeddings of Knowledge Graphs
- StoryDB: Broad Multi-language Narrative Dataset
- EDGAR-CORPUS: Billions of Tokens Make The World Go Round
- UFO-ViT: High Performance Linear Vision Transformer without Softmax
- From Organisational Structure to Organisational Behaviour Formalisation
- Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds
- Fairness-Driven Private Collaborative Machine Learning
- Dynamic Regret Analysis for Online Meta-Learning
- EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT
All 174
- Multilingual Fact Linking
- Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models
- Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection
- A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
- Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
- Distribution Knowledge Embedding for Graph Pooling
- DeepAnalyze: Learning to Localize Crashes at Scale
- Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
- Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks
- Learning Dynamics Models for Model Predictive Agents
- Online Aggregation of Probability Forecasts with Confidence
- Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis
- Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout
- Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
- A gradient-based variable selection for binary classification in reproducing kernel Hilbert space
- Localizing Objects with Self-Supervised Transformers and no Labels
- Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains
- Simulation-based Bayesian inference for multi-fingered robotic grasping
- Designing Counterfactual Generators using Deep Model Inversion
- (Machine) Learning to Improve the Empirical Performance of Discrete Algorithms
- Formulation and validation of a car-following model based on deep reinforcement learning
- Hierarchical Character Tagger for Short Text Spelling Error Correction
- Road Network Guided Fine-Grained Urban Traffic Flow Inference
- BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text
- Multipath CNN with alpha matte inference for knee tissue segmentation from MRI
- EBSD Grain Knowledge Graph Representation Learning for Material Structure-Property Prediction
- Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
- LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
- Error rate control for classification rules in multiclass mixture models
- A Next Basket Recommendation Reality Check
- Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training
- Equivariant Neural Network for Factor Graphs
- Spread Flows for Manifold Modelling
- On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization
- Exact Statistical Inference for the Wasserstein Distance by Selective Inference
- On Brightness Agnostic Adversarial Examples Against Face Recognition Systems
- Identity-Expression Ambiguity in 3D Morphable Face Models
- Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigation
- Who speaks like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning
- Breaking the curse of dimensionality with Isolation Kernel
- Context based Roman-Urdu to Urdu Script Transliteration System
- WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation
- Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning
- REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
- Reflexivity in Issues of Scale and Representation in a Digital Humanities Project
- Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis
- Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy
- Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis
- Cross-Camera Human Motion Transfer by Time Series Analysis
- Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention
- Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data
- Semantic Communications With AI Tasks
- Can multi-label classification networks know what they don't know?
- Adaptive Multi-layer Contrastive Graph Neural Networks
- Second-Order Neural ODE Optimizer
- Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id
- Customs Fraud Detection in the Presence of Concept Drift
- Multi-frame Joint Enhancement for Early Interlaced Videos
- Improving Arabic Diacritization by Learning to Diacritize and Translate
- Temporal Clustering with External Memory Network for Disease Progression Modeling
- Improving Dialogue State Tracking by Joint Slot Modeling
- On the Provable Generalization of Recurrent Neural Networks
- Geometry-Entangled Visual Semantic Transformer for Image Captioning
- Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection
- Fine-Grained Zero-Shot Learning with DNA as Side Information
- Contrastive Video-Language Segmentation
- Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting
- Vitruvion: A Generative Model of Parametric CAD Sketches
- Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
- Stochastic Training is Not Necessary for Generalization
- Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity
- Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images
- Visually Grounded Concept Composition
- An epistemic approach to model uncertainty in data-graphs