Papers
Mon 8 Nov 2021
154 papers
- A Dataset Perspective on Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Off-policy Imitation Learning from Visual InputsOffline RL and imitation learning from data → Imitation learning methods
- Batch Reinforcement Learning from CrowdsOffline RL and imitation learning from data → Offline RL algorithms
- Artificial Intelligence Technology analysis using Artificial Intelligence patent through Deep Learning model and vector space model
- Comparing Cross Correlation-Based Similarities
- Learning via Long Short-Term Memory (LSTM) network for predicting strains in Railway Bridge members under train induced vibration
- ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions
- Adversarial sampling of unknown and high-dimensional conditional distributions
- Distribution-Invariant Differential Privacy
- Stain-free Detection of Embryo Polarization using Deep Learning
- Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach
- Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography
- A Survey on Green Deep Learning
- Losses, Dissonances, and Distortions
- Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
- Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification
- Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons
- User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction
- EvoLearner: Learning Description Logics with Evolutionary Algorithms
- Papaya: Practical, Private, and Scalable Federated Learning
- LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
- An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
- Query-augmented Active Metric Learning
- A toolkit for data-driven discovery of governing equations in high-noise regimes
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
- On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
- Explaining Face Presentation Attack Detection Using Natural Language
- Dueling RL: Reinforcement Learning with Trajectory Preferences
- Hybrid BYOL-ViT: Efficient approach to deal with small datasets
- Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
- Evolving Evocative 2D Views of Generated 3D Objects
- Efficient estimates of optimal transport via low-dimensional embeddings
- Safe Data Collection for Offline and Online Policy Learning
- Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
- Inferential SIR-GN: Scalable Graph Representation Learning
- MassFormer: Tandem Mass Spectrum Prediction for Small Molecules using Graph Transformers
- Cascaded Multilingual Audio-Visual Learning from Videos
- Explaining Hyperparameter Optimization via Partial Dependence Plots
- Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
- Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression
- Approximating Fair Clustering with Cascaded Norm Objectives
- TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
- Deep Learning Approach for Aggressive Driving Behaviour Detection
- Visual Question Answering based on Formal Logic
- Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection
- ML-EXray: Visibility into ML Deployment on the Edge
- Realizable Learning is All You Need
- E(2) Equivariant Self-Attention for Radio Astronomy
- BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
- DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet
- HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
- Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
- Multi-Modality Cardiac Image Analysis with Deep Learning
- Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
- Mixed Transformer U-Net For Medical Image Segmentation
- Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
- Efficiently Learning Any One Hidden Layer ReLU Network From Queries
- Estimating High Order Gradients of the Data Distribution by Denoising
- SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
- Directional Message Passing on Molecular Graphs via Synthetic Coordinates
- OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features
- Stock Portfolio Optimization Using a Deep Learning LSTM Model
- Bayesian Framework for Gradient Leakage
- Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics
- HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
- Automated pharyngeal phase detection and bolus localization in videofluoroscopic swallowing study: Killing two birds with one stone?
- Interactive Inverse Reinforcement Learning for Cooperative Games
- A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
- Universal and data-adaptive algorithms for model selection in linear contextual bandits
- Reinforcement Learning for Mixed Autonomy Intersections
- Revisiting Methods for Finding Influential Examples
- SMU: smooth activation function for deep networks using smoothing maximum technique
- Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
- Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
- Approximate Neural Architecture Search via Operation Distribution Learning
- Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data
- Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models
- Composition and Style Attributes Guided Image Aesthetic Assessment
- Intelligent Reflecting Surfaces for Enhanced NOMA-based Visible Light Communications
- S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
- Accelerating GAN training using highly parallel hardware on public cloud
- DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
- Learning Filterbanks for End-to-End Acoustic Beamforming
- Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
- Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination
- A Private and Computationally-Efficient Estimator for Unbounded Gaussians
- On the Stochastic Stability of Deep Markov Models
- Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
- Inertial Newton Algorithms Avoiding Strict Saddle Points
- Nonnegative Tensor Completion via Integer Optimization
- Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
- Improved Regularization and Robustness for Fine-tuning in Neural Networks
- CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
- Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
- Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
- Tensor-based Subspace Factorization for StyleGAN
- Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models
- ARFED: Attack-Resistant Federated averaging based on outlier elimination
- AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models
- Anagrammatic quotients of free groups
All 154
- Clustering and Structural Robustness in Causal Diagrams
- Ontology-based question answering over corporate structured data
- An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
- Triple-level Model Inferred Collaborative Network Architecture for Video Deraining
- SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
- 3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
- There is no Double-Descent in Random Forests
- Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
- GROWL: Group Detection With Link Prediction
- Get a Model! Model Hijacking Attack Against Machine Learning Models
- Lattice gauge symmetry in neural networks
- Geometrically Adaptive Dictionary Attack on Face Recognition
- Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
- A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
- Grassmannian learning mutual subspace method for image set recognition
- Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
- threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
- Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
- Characterizing the adversarial vulnerability of speech self-supervised learning
- Towards Debiasing Temporal Sentence Grounding in Video
- Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
- SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
- Spirometry-based airways disease simulation and recognition using Machine Learning approaches
- Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
- A Relational Model for One-Shot Classification
- Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
- Assessing learned features of Deep Learning applied to EEG
- Learning Context-Aware Representations of Subtrees
- Defense Against Explanation Manipulation
- The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
- BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning
- Deep Unsupervised Active Learning on Learnable Graphs
- Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
- Mimic: An adaptive algorithm for multivariate time series classification
- Identifying Best Fair Intervention
- Group-Aware Threshold Adaptation for Fair Classification
- Generative Dynamic Patch Attack
- Adaptive area-preserving parameterization of open and closed anatomical surfaces
- Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
- Federated Learning Based on Dynamic Regularization
- JaMIE: A Pipeline Japanese Medical Information Extraction System
- Personalized Benchmarking with the Ludwig Benchmarking Toolkit
- A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
- Trust-aware Control for Intelligent Transportation Systems
- Learning to Rectify for Robust Learning with Noisy Labels
- Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
- A Study of the Human Perception of Synthetic Faces
- Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
- Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing
- Representation Learning via Quantum Neural Tangent Kernels
- Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning
- Dense Representative Tooth Landmark/axis Detection Network on 3D Model
- AI challenges for predicting the impact of mutations on protein stability
- Uncertainty Quantification in Neural Differential Equations