Papers
Thu 24 Jun 2021
183 papers
- DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalKnowledge distillation → General knowledge distillation methods
- Procedural Content Generation using Behavior Trees (PCGBT)
- Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects
- Lexical Access Model for Italian -- Modeling human speech processing: identification of words in running speech toward lexical access based on the detection of landmarks and other acoustic cues to features
- Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image
- Differential Privacy for Credit Risk Model
- Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model
- A new system for evaluating brand importance: A use case from the fashion industry
- GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins
- Context-aware Heterogeneous Graph Attention Network for User Behavior Prediction in Local Consumer Service Platform
- On Locality of Local Explanation Models
- Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
- Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
- What will it take to generate fairness-preserving explanations?
- Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
- FOVQA: Blind Foveated Video Quality Assessment
- Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks
- On the (Un-)Avoidability of Adversarial Examples
- Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
- VOGUE: Answer Verbalization through Multi-Task Learning
- Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared
- Promises and Pitfalls of Black-Box Concept Learning Models
- byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
- Physics perception in sloshing scenes with guaranteed thermodynamic consistency
- Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning
- Free-viewpoint Indoor Neural Relighting from Multi-view Stereo
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
- Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
- Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
- Geometric learning of the conformational dynamics of molecules using dynamic graph neural networks
- Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders
- Multitask Learning for Citation Purpose Classification
- Prediction of geophysical properties of rocks on rare well data and attributes of seismic waves by machine learning methods on the example of the Achimov formation
- Generalized One-Class Learning Using Pairs of Complementary Classifiers
- Disease Progression Modeling Workbench 360
- You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
- Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind
- A fuzzy take on the logical issues of statistical hypothesis testing
- Federated Noisy Client Learning
- Hate Speech Detection in Clubhouse
- Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning
- Video Swin Transformer
- Model-Based Reinforcement Learning via Latent-Space Collocation
- HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
- AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
- Towards Understanding and Mitigating Social Biases in Language Models
- Exploring Depth Contribution for Camouflaged Object Detection
- GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes
- Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
- Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
- When Differential Privacy Meets Interpretability: A Case Study
- SALT: Sea lice Adaptive Lattice Tracking -- An Unsupervised Approach to Generate an Improved Ocean Model
- DROID: Driver-centric Risk Object Identification
- Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
- A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
- FitVid: Overfitting in Pixel-Level Video Prediction
- MIxBN: library for learning Bayesian networks from mixed data
- Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
- CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
- Differential Morph Face Detection using Discriminative Wavelet Sub-bands
- Towards Fully Interpretable Deep Neural Networks: Are We There Yet?
- Learning by Planning: Language-Guided Global Image Editing
- Splitting EUD graphs into trees: A quick and clatty approach
- Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology
- FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending
- Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
- Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers
- VOLO: Vision Outlooker for Visual Recognition
- Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles
- The Option Keyboard: Combining Skills in Reinforcement Learning
- FF-NSL: Feed-Forward Neural-Symbolic Learner
- Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View
- Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
- Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
- Sparse Needlets for Lighting Estimation with Spherical Transport Loss
- Privacy Threats Analysis to Secure Federated Learning
- ChaLearn Looking at People: Inpainting and Denoising challenges
- Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers
- Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics
- Advancing biological super-resolution microscopy through deep learning: a brief review
- Efficient Tensor Contraction via Fast Count Sketch
- Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks
- Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
- Weighted majority tournaments and Kemeny ranking with 2-dimensional Euclidean preferences
- Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
- Where are we in semantic concept extraction for Spoken Language Understanding?
- Personalized Federated Learning with Contextualized Generalization
- AudioCLIP: Extending CLIP to Image, Text and Audio
- Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
- Mix and Mask Actor-Critic Methods
- Quantization Aware Training, ERNIE and Kurtosis Regularizer: a short empirical study
- A Transformer-based Cross-modal Fusion Model with Adversarial Training for VQA Challenge 2021
- PERT: A Progressively Region-based Network for Scene Text Removal
- Symmetric Wasserstein Autoencoders
- Improved Regret Bounds for Tracking Experts with Memory
- A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians
- Exploring Stronger Feature for Temporal Action Localization
- A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs
- Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
- QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus
All 183
- Bayesian Optimization with High-Dimensional Outputs
- Sparse Multi-Reference Alignment : Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem
- SGTBN: Generating Dense Depth Maps from Single-Line LiDAR
- Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data
- SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation
- Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset
- Fund2Vec: Mutual Funds Similarity using Graph Learning
- Abstraction of Markov Population Dynamics via Generative Adversarial Nets
- Unsupervised Topic Segmentation of Meetings with BERT Embeddings
- Exploring Self-Identified Counseling Expertise in Online Support Forums
- Tensor networks for unsupervised machine learning
- RikoNet: A Novel Anime Recommendation Engine
- Class agnostic moving target detection by color and location prediction of moving area
- Continual Novelty Detection
- Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
- Regularisation for PCA- and SVD-type matrix factorisations
- Rate Distortion Characteristic Modeling for Neural Image Compression
- Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
- AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry
- MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
- Fundamental limits for learning hidden Markov model parameters
- GNMR: A provable one-line algorithm for low rank matrix recovery
- Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
- VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
- Lettuce: PyTorch-based Lattice Boltzmann Framework
- Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
- Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
- Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation
- Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech
- Constrained Classification and Policy Learning
- DCoM: A Deep Column Mapper for Semantic Data Type Detection
- Awareness Logic: Kripke Lattices as a Middle Ground between Syntactic and Semantic Models
- A Systematic Collection of Medical Image Datasets for Deep Learning
- Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
- Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
- Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
- Detection of Deepfake Videos Using Long Distance Attention
- Extraction of common conceptual components from multiple ontologies
- On the Influence of Machine Translation on Language Origin Obfuscation
- Accelerating variational quantum algorithms with multiple quantum processors
- A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
- Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
- OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
- Fast Monte Carlo Rendering via Multi-Resolution Sampling
- Modeling Diagnostic Label Correlation for Automatic ICD Coding
- Evaluation of Representation Models for Text Classification with AutoML Tools
- A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language
- Three rates of convergence or separation via U-statistics in a dependent framework
- "Part Man, Part Machine, All Cop": Automation in Policing
- A review of systematic selection of clustering algorithms and their evaluation
- Towards Automatic Speech to Sign Language Generation
- Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control
- Video Super-Resolution with Long-Term Self-Exemplars
- AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis
- Evaluation of Saliency-based Explainability Method
- Task-agnostic Continual Learning with Hybrid Probabilistic Models
- TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
- Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning
- Density Constrained Reinforcement Learning
- Neural ODE to model and prognose thermoacoustic instability
- DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing
- Label Disentanglement in Partition-based Extreme Multilabel Classification
- Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques
- A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding
- An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning
- Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
- Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
- Planetary UAV localization based on Multi-modal Registration with Pre-existing Digital Terrain Model
- Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification
- Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
- Feature Completion for Occluded Person Re-Identification
- Online Verification of Deep Neural Networks under Domain Shift or Network Updates
- Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
- ATP-Net: An Attention-based Ternary Projection Network For Compressed Sensing
- Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations
- All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection
- Sparse Flows: Pruning Continuous-depth Models
- Topological Semantic Mapping by Consolidation of Deep Visual Features
- Alternative Microfoundations for Strategic Classification
- All unconstrained strongly convex problems are weakly simplicial
- An Efficient Group-based Search Engine Marketing System for E-Commerce
- Distilling the Knowledge from Conditional Normalizing Flows
- Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction