Papers
Thu 23 Dec 2021
121 papers
- PandaSet: Advanced Sensor Suite Dataset for Autonomous DrivingWorld models → World modeling from LiDAR generation
- Generalization Error Bounds on Deep Learning with Markov Datasets
- A Synthetic Prediction Market for Estimating Confidence in Published Work
- Traffic event description based on Twitter data using Unsupervised Learning Methods for Indian road conditions
- Decision support system for distributed manufacturing based on input-output analysis and economic complexity
- Cloud Removal from Satellite Images
- Training Quantized Deep Neural Networks via Cooperative Coevolution
- Predicc~ao de Incidencia de Les~ao por Press~ao em Pacientes de UTI usando Aprendizado de M'aquina
- Radiomic biomarker extracted from PI-RADS 3 patients support more e`icient and robust prostate cancer diagnosis: a multi-center study
- Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model
- Ensemble Method for Cluster Number Determination and Algorithm Selection in Unsupervised Learning
- Learning to Walk with Dual Agents for Knowledge Graph Reasoning
- Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
- Measuring Attribution in Natural Language Generation Models
- HSPACE: Synthetic Parametric Humans Animated in Complex Environments
- SoK: Privacy-preserving Deep Learning with Homomorphic Encryption
- Automatic Meta-Path Discovery for Effective Graph-Based Recommendation
- Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance
- Faster Deep Ensemble Averaging for Quantification of DNA Damage from Comet Assay Images With Uncertainty Estimates
- Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data
- Graph Few-shot Class-incremental Learning
- Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation
- MDN-VO: Estimating Visual Odometry with Confidence
- Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images
- Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
- A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network
- ELSA: Enhanced Local Self-Attention for Vision Transformer
- NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
- SeMask: Semantically Masked Transformers for Semantic Segmentation
- Cross Modal Retrieval with Querybank Normalisation
- Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
- BANMo: Building Animatable 3D Neural Models from Many Casual Videos
- Toward a New Science of Common Sense
- SLIP: Self-supervision meets Language-Image Pre-training
- Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions
- AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
- Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
- ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
- Latent Time Neural Ordinary Differential Equations
- Forward Composition Propagation for Explainable Neural Reasoning
- Modeling Implicit Bias with Fuzzy Cognitive Maps
- Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
- Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
- Digital Editions as Distant Supervision for Layout Analysis of Printed Books
- TagLab: A human-centric AI system for interactive semantic segmentation
- Towards more patient friendly clinical notes through language models and ontologies
- The interplay between ranking and communities in networks
- 3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Na"ive
- Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data
- Analysis of Langevin Monte Carlo from Poincar'e to Log-Sobolev
- InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images
- Distilling the Knowledge of Romanian BERTs Using Multiple Teachers
- Prolog-based agnostic explanation module for structured pattern classification
- AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box
- A Survey of Near-Data Processing Architectures for Neural Networks
- Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
- Manifold Learning Benefits GANs
- Predicc~ao da Idade Cerebral a partir de Imagens de Ressonancia Magn'etica utilizando Redes Neurais Convolucionais
- Towards Universal GAN Image Detection
- NeRD++: Improved 3D-mirror symmetry learning from a single image
- Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
- Integrating Material Selection with Design Optimization via Neural Networks
- On the relationship between calibrated predictors and unbiased volume estimation
- Optimal learning of high-dimensional classification problems using deep neural networks
- FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks
- PyCIL: A Python Toolbox for Class-Incremental Learning
- Multi-Variant Consistency based Self-supervised Learning for Robust Automatic Speech Recognition
- Integrating Quantum Processor Device and Control Optimization in a Gradient-based Framework
- Attentive Multi-View Deep Subspace Clustering Net
- FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
- LaTr: Layout-Aware Transformer for Scene-Text VQA
- Equivariance and generalization in neural networks
- Curriculum Learning for Safe Mapless Navigation
- TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
- Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
- Self-Supervised Graph Representation Learning for Neuronal Morphologies
- Hierarchical Multi-Building And Multi-Floor Indoor Localization Based On Recurrent Neural Networks
- Generalization capabilities of neural networks in lattice applications
- Missing Velocity in Dynamic Obstacle Avoidance based on Deep Reinforcement Learning
- Comprehensive Movie Recommendation System
- Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
- Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition
- More Than Words: Towards Better Quality Interpretations of Text Classifiers
- TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations
- Using Sequential Statistical Tests for Efficient Hyperparameter Tuning
- Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
- Adaptive Modeling Against Adversarial Attacks
- Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy
- InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition
- Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
- Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
- S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation
- KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD
- DILF-EN framework for Class-Incremental Learning
- Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
- Decentralized Multi-Task Stochastic Optimization With Compressed Communications
- DENSE: Data-Free One-Shot Federated Learning
- Dual Path Structural Contrastive Embeddings for Learning Novel Objects
- Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
- A Random Point Initialization Approach to Image Segmentation with Variational Level-sets
All 121
- LAME: Layout Aware Metadata Extraction Approach for Research Articles
- Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
- When Random Tensors meet Random Matrices
- Statistical Feature-based Personal Information Detection in Mobile Network Traffic
- Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
- Learning with distributional inverters
- Cooperative learning for multiview analysis
- MVDG: A Unified Multi-view Framework for Domain Generalization
- Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
- Making sense of electrical vehicle discussions using sentiment analysis on closely related news and user comments
- Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks
- Model Selection in Batch Policy Optimization
- Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems
- Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
- Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
- Learning with Proper Partial Labels
- A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization
- Analysis of ECG data to detect Atrial Fibrillation
- High Throughput Multi-Channel Parallelized Diffraction Convolutional Neural Network Accelerator
- Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
- Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions