Papers
Fri 30 Dec 2022
101 papers
- Image Embedding for Denoising Generative ModelsDiffusion models → Diffusion foundations and sampling
- Task-Guided IRL in POMDPs that ScalesOffline RL and imitation learning from data → Inverse reinforcement learning
- Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary TasksOffline RL and imitation learning from data → Imitation learning methods
- ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to SpeechDiffusion models → Audio, speech and music
- Accelerated and Improved Stabilization for High Order Moments of Racah Polynomials
- Stroke-based Rendering: From Heuristics to Deep Learning
- TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)
- Online learning techniques for prediction of temporal tabular datasets with regime changes
- Detection of Groups with Biased Representation in Ranking
- Image-Coupled Volume Propagation for Stereo Matching
- Deep Recurrent Learning Through Long Short Term Memory and TOPSIS
- Reinforcement Learning with Success Induced Task Prioritization
- Active Learning for Neural Machine Translation
- E-commerce users' preferences for delivery options
- Targeted Phishing Campaigns using Large Scale Language Models
- Matrix Multiplication: Verifying Strong Uniquely Solvable Puzzles
- Inconsistencies in Masked Language Models
- Memory Augmented Lookup Dictionary based Language Modeling for Automatic Speech Recognition
- A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
- Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization
- Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce
- Bayesian Learning for Dynamic Inference
- Imitator: Personalized Speech-driven 3D Facial Animation
- Behave-XAI: Deep Explainable Learning of Behavioral Representational Data
- Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
- Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters
- GANExplainer: GAN-based Graph Neural Networks Explainer
- Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
- ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
- Guidance Through Surrogate: Towards a Generic Diagnostic Attack
- Comparative Analysis of Clustering Techniques for Personalized Food Kit Distribution
- Equivariant Light Field Convolution and Transformer
- Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
- Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
- An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
- Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search
- PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models
- Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors
- Black-box language model explanation by context length probing
- A deep real options policy for sequential service region design and timing
- On the Interpretability of Attention Networks
- Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling
- Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series
- Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications
- A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia
- Risk-Sensitive Policy with Distributional Reinforcement Learning
- DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
- UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions
- Machine Learning and Thermography Applied to the Detection and Classification of Cracks in Building
- Batchless Normalization: How to Normalize Activations Across Instances with Minimal Memory Requirements
- Learning from Data Streams: An Overview and Update
- NISQ-ready community detection based on separation-node identification
- NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation
- Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms
- An Entropy-Based Model for Hierarchical Learning
- Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
- Deep Active Learning Using Barlow Twins
- Linear programming word problems formulation using EnsembleCRF NER labeler and T5 text generator with data augmentations
- Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer
- HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images
- Distant Reading of the German Coalition Deal: Recognizing Policy Positions with BERT-based Text Classification
- RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT
- Two new parameters for the ordinal analysis of images
- Reservoir kernels and Volterra series
- Detecting Change Intervals with Isolation Distributional Kernel
- Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues
- Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis
- Label-Efficient Interactive Time-Series Anomaly Detection
- Blind Restoration of Real-World Audio by 1D Operational GANs
- DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
- Delving into Semantic Scale Imbalance
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
- ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models
- Defense Against Adversarial Attacks on Audio DeepFake Detection
- Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
- NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
- Mixture of von Mises-Fisher distribution with sparse prototypes
- Heterogeneous Synthetic Learner for Panel Data
- MAUVE Scores for Generative Models: Theory and Practice
- A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
- Pontryagin Optimal Control via Neural Networks
- Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
- An Experience-based Direct Generation approach to Automatic Image Cropping
- Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications
- How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
- HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training
- A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
- Transformer in Transformer as Backbone for Deep Reinforcement Learning
- Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
- Resampling Sensitivity of High-Dimensional PCA
- POMRL: No-Regret Learning-to-Plan with Increasing Horizons
- Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport
- A novel cluster internal evaluation index based on hyper-balls
- The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data
- Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part I
- A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries
- Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis
- Improving Visual Representation Learning through Perceptual Understanding
- Multi-modal deep learning system for depression and anxiety detection