Papers
Tue 20 Apr 2021
157 papers
- Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- VideoGPT: Video Generation using VQ-VAE and TransformersWorld models → Video-generation world models and simulators
- Distill on the Go: Online knowledge distillation in self-supervised learningKnowledge distillation → General knowledge distillation methods
- B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc RetrievalSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Knowledge Distillation as Semiparametric InferenceKnowledge distillation → General knowledge distillation methods
- Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
- DRL: Deep Reinforcement Learning for Intelligent Robot Control -- Concept, Literature, and Future
- Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network
- Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions
- Interventional Aspect-Based Sentiment Analysis
- Dynamic Toll Prediction Using Historical Data on Toll Roads: Case Study of the I-66 Inner Beltway
- Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models
- GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
- Visualizing Adapted Knowledge in Domain Transfer
- GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
- Compact and Effective Representations for Sketch-based Image Retrieval
- Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
- Novel Aficionados and Doppelg"angers: a referential task for semantic representations of individual entities
- TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
- StateCensusLaws.org: A Web Application for Consuming and Annotating Legal Discourse Learning
- Network Defense is Not a Game
- Analyzing COVID-19 Tweets with Transformer-based Language Models
- Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning
- Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
- Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
- Modeling Event Plausibility with Consistent Conceptual Abstraction
- Predicting Human Trajectories by Learning and Matching Patterns
- Concept Drift Detection from Multi-Class Imbalanced Data Streams
- More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
- Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning
- Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets
- Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
- How individuals change language
- Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy
- Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
- Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
- Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
- Outcome-Driven Reinforcement Learning via Variational Inference
- Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms
- Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
- MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
- Understanding Synonymous Referring Expressions via Contrastive Features
- Variational Relational Point Completion Network
- Bayesian subset selection and variable importance for interpretable prediction and classification
- Towards Solving Multimodal Comprehension
- Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
- Phase Transition Adaptation
- Hidden Biases in Unreliable News Detection Datasets
- Efficient Retrieval Optimized Multi-task Learning
- Generative Transformer for Accurate and Reliable Salient Object Detection
- Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League
- Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network
- On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
- Enhancing Cognitive Models of Emotions with Representation Learning
- Detection of Audio-Video Synchronization Errors Via Event Detection
- Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study
- Neural Networks for Learning Counterfactual G-Invariances from Single Environments
- Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm
- UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification
- Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
- Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
- Class-Incremental Learning with Generative Classifiers
- Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population
- Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
- Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study
- UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
- MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis
- Asymmetric compressive learning guarantees with applications to quantized sketches
- T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
- Semantic similarity metrics for learned image registration
- Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease
- VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
- Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
- Perceptual Loss for Robust Unsupervised Homography Estimation
- BraidNet: procedural generation of neural networks for image classification problems using braid theory
- An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans
- Review of end-to-end speech synthesis technology based on deep learning
- Fine-grained Anomaly Detection via Multi-task Self-Supervision
- Differentiable Model Compression via Pseudo Quantization Noise
- Prospective Artificial Intelligence Approaches for Active Cyber Defence
- Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
- A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
- Text-Aware Predictive Monitoring of Business Processes
- GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
- Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
- MGSampler: An Explainable Sampling Strategy for Video Action Recognition
- DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
- Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT
- A cappella: Audio-visual Singing Voice Separation
- The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks
- Active and sparse methods in smoothed model checking
- Gradient Matching for Domain Generalization
- Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
- Grammatical Error Generation Based on Translated Fragments
- GDDR: GNN-based Data-Driven Routing
- CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
- Semantic Segmentation by Improved Generative Adversarial Networks
- Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation
- Data-driven vehicle speed detection from synthetic driving simulator images
- Posterior Sampling for Image Restoration using Explicit Patch Priors
All 157
- Comparing Representations in Tracking for Event Camera-based SLAM
- Lighting, Reflectance and Geometry Estimation from 360circ Panoramic Stereo
- Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences
- GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
- An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI
- Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry
- IIoT-Enabled Health Monitoring for Integrated Heat Pump System Using Mixture Slow Feature Analysis
- Boosting Masked Face Recognition with Multi-Task ArcFace
- Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles
- HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
- RoFormer: Enhanced Transformer with Rotary Position Embedding
- Multiscale deep context modeling for lossless point cloud geometry compression
- Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
- Forecasting The JSE Top 40 Using Long Short-Term Memory Networks
- Adversarial Training for Deep Learning-based Intrusion Detection Systems
- SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
- Deep learning with transfer functions: new applications in system identification
- Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model
- A novel three-stage training strategy for long-tailed classification
- Detector-Free Weakly Supervised Grounding by Separation
- WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
- A simple vision-based navigation and control strategy for autonomous drone racing
- Addressing the Vulnerability of NMT in Input Perturbations
- Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
- Visual Navigation with Spatial Attention
- CTNet: Context-based Tandem Network for Semantic Segmentation
- SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
- CoDR: Computation and Data Reuse Aware CNN Accelerator
- What is Wrong with One-Class Anomaly Detection?
- Identifying Helpful Sentences in Product Reviews
- Does enhanced shape bias improve neural network robustness to common corruptions?
- Model-predictive control and reinforcement learning in multi-energy system case studies
- Role-Aware Modeling for N-ary Relational Knowledge Bases
- Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models
- GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
- M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
- Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
- Learning Semantic-Aware Dynamics for Video Prediction
- HCMS: Hierarchical and Conditional Modality Selection for Efficient Video Recognition
- An Efficient Approach for Anomaly Detection in Traffic Videos
- Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
- Hierarchical entropy and domain interaction to understand the structure in an image
- Supervisory Control of Quantum Discrete Event Systems
- Flow-based Video Segmentation for Human Head and Shoulders
- Joint Online Learning and Decision-making via Dual Mirror Descent
- Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
- Locally Private k-Means in One Round
- Staircase Sign Method for Boosting Adversarial Attacks
- AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
- Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
- Problems and Countermeasures in Natural Language Processing Evaluation
- Bridging between soft and hard thresholding by scaling
- Free-form tumor synthesis in computed tomography images via richer generative adversarial network
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
- Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
- X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
- Efficient pre-training objectives for Transformers