Papers
Tue 6 Jul 2021
177 papers
- A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge DistillationKnowledge distillation → Distillation for medical imaging
- Confidence Conditioned Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- VidLanKD: Improving Language Understanding via Video-Distilled Knowledge TransferKnowledge distillation → Multimodal distillation
- Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- CoReD: Generalizing Fake Media Detection with Continual Representation using DistillationKnowledge distillation → Distillation for continual learning
- Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement LearningWorld models → Latent dynamics models and model-based RL
- ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients
- PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior for Joint Image-Text Modeling
- A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design
- Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
- Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search
- Clustering and attention model based for intelligent trading
- Predictive models for wind speed using artificial intelligence and copula
- Identification of Dynamical Systems using Symbolic Regression
- A New Approach for Semantic Web Matching
- Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts
- IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
- A Three Phase Semantic Web Matchmaker
- HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation
- An Orchestration Platform that Puts Radiologists in the Driver's Seat of AI Innovation: A Methodological Approach
- Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions
- A Leap among Quantum Computing and Quantum Neural Networks: A Survey
- Image Complexity Guided Network Compression for Biomedical Image Segmentation
- Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
- Distributed stochastic optimization with large delays
- Supervised Bayesian Specification Inference from Demonstrations
- Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
- From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers
- Kosp2e: Korean Speech to English Translation Corpus
- Principles for Evaluation of AI/ML Model Performance and Robustness
- Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking
- Poly-NL: Linear Complexity Non-local Layers with Polynomials
- Topic Modeling in the Voynich Manuscript
- A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
- Transfer Learning in Information Criteria-based Feature Selection
- Logit-based Uncertainty Measure in Classification
- Plot2Spectra: an Automatic Spectra Extraction Tool
- Deep Learning for Micro-expression Recognition: A Survey
- New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
- Generalization Error Analysis of Neural networks with Gradient Based Regularization
- Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
- Learned Visual Navigation for Under-Canopy Agricultural Robots
- Depth-supervised NeRF: Fewer Views and Faster Training for Free
- iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
- Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
- SAGE: Intrusion Alert-driven Attack Graph Extractor
- Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
- Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
- Anomaly Detection using Edge Computing in Video Surveillance System: Review
- Counterfactual Explanations in Sequential Decision Making Under Uncertainty
- A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders
- MAJORITY-3SAT (and Related Problems) in Polynomial Time
- Neural Computing
- Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts
- Dueling Bandits with Team Comparisons
- DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
- Provable Lipschitz Certification for Generative Models
- AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
- Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
- Evaluating subgroup disparity using epistemic uncertainty in mammography
- Predicate correlation learning for scene graph generation
- A Unified Off-Policy Evaluation Approach for General Value Function
- Unsupervised learning of MRI tissue properties using MRI physics models
- Spatiotemporal Fusion in Remote Sensing
- Remote sensing and AI for building climate adaptation applications
- ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services
- Supporting AI Engineering on the IoT Edge through Model-Driven TinyML
- A Model-Driven Approach to Machine Learning and Software Modeling for the IoT
- Real-time Pose Estimation from Images for Multiple Humanoid Robots
- Attention-based Adversarial Appearance Learning of Augmented Pedestrians
- COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
- Does Dataset Complexity Matters for Model Explainers?
- HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration
- On Generalization of Graph Autoencoders with Adversarial Training
- Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
- The Hyperspherical Geometry of Community Detection: Modularity as a Distance
- Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps
- Multi-Level Graph Contrastive Learning
- DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis
- Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
- Detecting Outliers with Poisson Image Interpolation
- Energy Consumption of Deep Generative Audio Models
- Combining EfficientNet and Vision Transformers for Video Deepfake Detection
- How to Discover a Semantic Web Service by Knowing Its Functionality Parameters
- Meta-Reinforcement Learning for Heuristic Planning
- Stateless actor-critic for instance segmentation with high-level priors
- Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
- Differentially private federated deep learning for multi-site medical image segmentation
- Point Cloud Registration using Representative Overlapping Points
- Contrastive Multimodal Fusion with TupleInfoNCE
- Unsupervised Knowledge-Transfer for Learned Image Reconstruction
- Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4
- Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
- Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version)
- Rethinking Positional Encoding
- Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes
- A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
- Universal approximation and model compression for radial neural networks
- A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System
All 177
- AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style
- Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm
- Intrinsic uncertainties and where to find them
- Semantic Segmentation Alternative Technique: Segmentation Domain Generation
- Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
- DTGAN: Differential Private Training for Tabular GANs
- Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks
- An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data
- T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
- Memory-aware curriculum federated learning for breast cancer classification
- Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
- Transfer Learning for Improving Results on Russian Sentiment Datasets
- InfoNCE is variational inference in a recognition parameterised model
- Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
- Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
- Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs
- A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering
- A new smart-cropping pipeline for prostate segmentation using deep learning networks
- Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows
- Empowering NGOs in Countering Online Hate Messages
- DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
- On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
- EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data
- FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning
- Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation
- Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
- Integrating Large Circular Kernels into CNNs through Neural Architecture Search
- End-To-End Data-Dependent Routing in Multi-Path Neural Networks
- The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task
- Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification
- A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
- Shell Language Processing: Unix command parsing for Machine Learning
- Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
- Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration
- Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence
- Dynamical System Parameter Identification using Deep Recurrent Cell Networks
- GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
- Improving Text-to-Image Synthesis Using Contrastive Learning
- Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of Sn
- An NLG pipeline for a legal expert system: a work in progress
- Probabilistic Graph Reasoning for Natural Proof Generation
- Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
- Deep Visual Attention-Based Transfer Clustering
- Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment
- NRST: Non-rigid Surface Tracking from Monocular Video
- From General to Specific: Online Updating for Blind Super-Resolution
- Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons
- Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
- MSE Loss with Outlying Label for Imbalanced Classification
- Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
- Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
- CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
- Estimates for the Branching Factors of Atari Games
- An Inverse QSAR Method Based on Linear Regression and Integer Programming
- Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
- Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
- A Short Note on the Relationship of Information Gain and Eluder Dimension
- SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
- Weighted Gaussian Process Bandits for Non-stationary Environments
- UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
- Discrete-Valued Neural Communication
- Asymptotics of Network Embeddings Learned via Subsampling
- Effects of Smart Traffic Signal Control on Air Quality
- Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
- Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks
- Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
- Proof Generation in CDSAT
- Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
- An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels
- Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography
- Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
- Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
- Impact of deep learning-based image super-resolution on binary signal detection
- Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
- Polarized skylight orientation determination artificial neural network
- Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving
- Identifying negativity factors from social media text corpus using sentiment analysis method