Papers
Fri 16 Jul 2021
132 papers
- Visual Adversarial Imitation Learning using Variational ModelsOffline RL and imitation learning from data → Imitation learning methods
- Autonomy 2.0: Why is self-driving always 5 years away?End-to-end autonomous driving → End-to-end system architecture
- Representation Consolidation for Training Expert StudentsKnowledge distillation → General knowledge distillation methods
- Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic ModelsDiffusion models → Discrete and text diffusion
- Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
- Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model
- Urdu & Hindi Poetry Generation using Neural Networks
- A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient
- Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
- Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
- Explainable AI Enabled Inspection of Business Process Prediction Models
- Learning Heuristics for Template-based CEGIS of Loop Invariants with Reinforcement Learning
- Estimating covariant Lyapunov vectors from data
- Time Series Anomaly Detection for Smart Grids: A Survey
- Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI
- Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data
- Declarative Machine Learning Systems
- AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
- Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language
- Markov Blanket Discovery using Minimum Message Length
- Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
- The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues
- Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems
- Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics
- Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
- Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
- Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
- Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization
- A Comparison of Methods for OOV-word Recognition on a New Public Dataset
- Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time
- Non-Parametric Manifold Learning
- Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
- A comparative study of stochastic and deep generative models for multisite precipitation synthesis
- Refined Policy Improvement Bounds for MDPs
- DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation
- LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects
- CCVS: Context-aware Controllable Video Synthesis
- Is attention to bounding boxes all you need for pedestrian action prediction?
- A New Robust Multivariate Mode Estimator for Eye-tracking Calibration
- Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach
- Seeing and Believing: Evaluating the Trustworthiness of Twitter Users
- Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
- Online Graph Topology Learning from Matrix-valued Time Series
- Machine learning of Kondo physics using variational autoencoders and symbolic regression
- Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements
- Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods
- All the attention you need: Global-local, spatial-channel attention for image retrieval
- From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
- Uncertainty Prediction for Machine Learning Models of Material Properties
- Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
- Controlled AutoEncoders to Generate Faces from Voices
- Deep Learning to Ternary Hash Codes by Continuation
- In-Bed Person Monitoring Using Thermal Infrared Sensors
- Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation
- S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
- An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling
- Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
- POS tagging, lemmatization and dependency parsing of West Frisian
- How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?
- Blockchain Technology: Bitcoins, Cryptocurrency and Applications
- MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
- Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks
- Exploiting Rich Syntax for Better Knowledge Base Question Answering
- Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
- A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
- A Survey on Bias in Visual Datasets
- Lightness Modulated Deep Inverse Tone Mapping
- Unsupervised Discovery of Object Radiance Fields
- Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
- Single Pass Entrywise-Transformed Low Rank Approximation
- Tracing Halpha Fibrils through Bayesian Deep Learning
- Ranking labs-of-origin for genetically engineered DNA using Metric Learning
- Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
- Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks
- Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
- Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
- A Causal Perspective on Meaningful and Robust Algorithmic Recourse
- Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
- Versatile modular neural locomotion control with fast learning
- Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems
- A Survey of Knowledge Graph Embedding and Their Applications
- Progressive Deep Video Dehazing without Explicit Alignment Estimation
- Modeling User Behaviour in Research Paper Recommendation System
- Chi-square and normal inference in high-dimensional multi-task regression
- A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs
- Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices
- Contrastive Predictive Coding for Anomaly Detection
- Revisiting IoT Device Identification
- Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
- Efficient proximal gradient algorithms for joint graphical lasso
- Conditional Directed Graph Convolution for 3D Human Pose Estimation
- Graph Representation Learning for Road Type Classification
- Wasserstein Distances, Geodesics and Barycenters of Merge Trees
- Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems
- Attention-based Vehicle Self-Localization with HD Feature Maps
- DoReMi: First glance at a universal OMR dataset
- Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption
- Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation
- Architecture of Automated Crypto-Finance Agent
- Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
All 132
- Entropic alternatives to initialization
- Measuring Fairness in Generative Models
- NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
- Rectifying the Shortcut Learning of Background for Few-Shot Learning
- When does loss-based prioritization fail?
- MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
- Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
- EGC2: Enhanced Graph Classification with Easy Graph Compression
- Robust Online Control with Model Misspecification
- Semi-supervised Learning for Marked Temporal Point Processes
- Recognizing bird species in diverse soundscapes under weak supervision
- Active learning for imbalanced data under cold start
- Optical Inspection of the Silicon Micro-strip Sensors for the CBM Experiment employing Artificial Intelligence
- Towards an Interpretable Latent Space in Structured Models for Video Prediction
- ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
- Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
- DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
- Pseudo-labelling Enhanced Media Bias Detection
- Neural Contextual Anomaly Detection for Time Series
- A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers
- Constrained Feedforward Neural Network Training via Reachability Analysis
- Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss
- Imitate TheWorld: A Search Engine Simulation Platform
- Intersectional Bias in Causal Language Models
- Auto-differentiable Ensemble Kalman Filters
- CutDepth:Edge-aware Data Augmentation in Depth Estimation
- The Application of Active Query K-Means in Text Classification
- ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
- Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning
- Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
- TAPEX: Table Pre-training via Learning a Neural SQL Executor
- Align before Fuse: Vision and Language Representation Learning with Momentum Distillation