Papers
Wed 23 Jun 2021
156 papers
- Dealing with training and test segmentation mismatch: FBK@IWSLT2021Knowledge distillation → Speech and audio distillation
- Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Imitation Learning: Progress, Taxonomies and ChallengesOffline RL and imitation learning from data → Imitation learning methods
- IQ-Learn: Inverse soft-Q Learning for ImitationOffline RL and imitation learning from data → Imitation learning methods
- An'alisis de Canasta de mercado en supermercados mediante mapas auto-organizados
- Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning
- MegazordNet: combining statistical and machine learning standpoints for time series forecasting
- Image Inpainting Using Wasserstein Generative Adversarial Imputation Network
- Probabilistic Attention for Interactive Segmentation
- ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations
- Recurrent Coupled Topic Modeling over Sequential Documents
- Dr. Watson type Artificial Intellect (AI) Systems
- Real-time Spatio-temporal Event Detection on Geotagged Social Media
- Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals
- Stock Market Analysis with Text Data: A Review
- Modelling Art Interpretation and Meaning. A Data Model for Describing Iconology and Iconography
- Understanding Modern Techniques in Optimization: Frank-Wolfe, Nesterov's Momentum, and Polyak's Momentum
- Using machine learning techniques to predict hospital admission at the emergency department
- Learnt Sparsification for Interpretable Graph Neural Networks
- Continuous-Time Deep Glioma Growth Models
- L'Apprentissage Automatique dans la planification et le controle de la production : un 'etat de l'art
- Numerical influence of ReLU'(0) on backpropagation
- Best-Case Lower Bounds in Online Learning
- Fairness via Representation Neutralization
- Conditional Deformable Image Registration with Convolutional Neural Network
- Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
- What makes visual place recognition easy or hard?
- Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks
- Reimagining GNN Explanations with ideas from Tabular Data
- Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
- Fast, high-fidelity Lyman α forests with convolutional neural networks
- Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
- Extreme Multi-label Learning for Semantic Matching in Product Search
- Multi-objective Asynchronous Successive Halving
- Florida Wildlife Camera Trap Dataset
- Provably efficient machine learning for quantum many-body problems
- The Stereotyping Problem in Collaboratively Filtered Recommender Systems
- Leveraging semantically similar queries for ranking via combining representations
- IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers
- Machine learning structure preserving brackets for forecasting irreversible processes
- Handwritten Digit Recognition using Machine and Deep Learning Algorithms
- Minimum sharpness: Scale-invariant parameter-robustness of neural networks
- Adversarial Examples in Multi-Layer Random ReLU Networks
- Clinical Named Entity Recognition using Contextualized Token Representations
- Deep Fake Detection: Survey of Facial Manipulation Detection Solutions
- Real-time gravitational-wave science with neural posterior estimation
- Weisfeiler and Lehman Go Cellular: CW Networks
- DeepStochLog: Neural Stochastic Logic Programming
- Learning Multimodal VAEs through Mutual Supervision
- Gradient-Based Interpretability Methods and Binarized Neural Networks
- Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
- Feature Attributions and Counterfactual Explanations Can Be Manipulated
- Feature Alignment as a Generative Process
- Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
- Approximate Bayesian Computation with Path Signatures
- Multi-Class Classification of Blood Cells -- End to End Computer Vision based diagnosis case study
- Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
- Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
- Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
- Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise
- Who Leads and Who Follows in Strategic Classification?
- FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
- High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
- Sampling with Mirrored Stein Operators
- Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
- Universal Consistency of Deep Convolutional Neural Networks
- Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
- BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification
- Training Data Subset Selection for Regression with Controlled Generalization Error
- Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
- Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language
- From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
- Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations
- Teacher Model Fingerprinting Attacks Against Transfer Learning
- Mixtures of Deep Neural Experts for Automated Speech Scoring
- Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
- A Circular-Structured Representation for Visual Emotion Distribution Learning
- FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
- How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
- Beyond Predictions in Neural ODEs: Identification and Interventions
- Alias-Free Generative Adversarial Networks
- False perfection in machine prediction: Detecting and assessing circularity problems in machine learning
- Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images
- The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time
- STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
- End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
- Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation
- Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
- Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection
- AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
- Co-advise: Cross Inductive Bias Distillation
- PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales
- Real-time Neural Radiance Caching for Path Tracing
- Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
- A new Video Synopsis Based Approach Using Stereo Camera
- Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs
- GraphConfRec: A Graph Neural Network-Based Conference Recommender System
- First Step Towards EXPLAINable DGA Multiclass Classification
- Learning Explainable Representations of Malware Behavior
- Open Images V5 Text Annotation and Yet Another Mask Text Spotter
All 156
- BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing
- CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot
- Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
- Calibrating the Lee-Carter and the Poisson Lee-Carter models via Neural Networks
- Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
- Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
- 3D human tongue reconstruction from single "in-the-wild" images
- Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
- MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning
- Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification
- Deep unsupervised 3D human body reconstruction from a sparse set of landmarks
- Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
- Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming
- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
- Learning Under Delayed Feedback: Implicitly Adapting to Gradient Delays
- Mutual-Information Based Few-Shot Classification
- ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
- A Unified Approach to Fair Online Learning via Blackwell Approachability
- ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
- Recognising Biomedical Names: Challenges and Solutions
- groupShapley: Efficient prediction explanation with Shapley values for feature groups
- Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model
- Image-to-Image Translation of Synthetic Samples for Rare Classes
- Not all users are the same: Providing personalized explanations for sequential decision making problems
- Real-time Instance Segmentation with Discriminative Orientation Maps
- Random Effect Bandits
- Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency
- Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
- Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
- Collaborative Visual Inertial SLAM for Multiple Smart Phones
- A Review of Assistive Technologies for Activities of Daily Living of Elderly
- Fairness for Image Generation with Uncertain Sensitive Attributes
- Vision-based Behavioral Recognition of Novelty Preference in Pigs
- Combination of Convolutional Neural Network and Gated Recurrent Unit for Energy Aware Resource Allocation
- Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging
- Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds
- APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
- Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting
- CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis
- Neural Fashion Image Captioning : Accounting for Data Diversity
- Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
- Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
- Better Algorithms for Individually Fair k-Clustering
- Lagrangian dual framework for conservative neural network solutions of kinetic equations
- NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
- PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database
- Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens
- NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
- Secure Domain Adaptation with Multiple Sources
- Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
- Bounds on Causal Effects and Application to High Dimensional Data
- Conflict Avoidance in Social Navigation -- a Survey
- Bregman Gradient Policy Optimization
- Near-Optimal Linear Regression under Distribution Shift
- Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
- LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction