Papers
Thu 11 Aug 2022
118 papers
- Speech Enhancement and Dereverberation with Diffusion-based Generative ModelsDiffusion models → Audio, speech and music
- MixSKD: Self-Knowledge Distillation from Mixup for Image RecognitionKnowledge distillation → General knowledge distillation methods
- Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample ComplexityOffline RL and imitation learning from data → Offline RL algorithms
- Self-Knowledge Distillation via DropoutKnowledge distillation → General knowledge distillation methods
- Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting
- Language-independence of DisCoCirc's Text Circuits: English and Urdu
- A Twitter-Driven Deep Learning Mechanism for the Determination of Vehicle Hijacking Spots in Cities
- New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
- Cross Section Doppler Broadening prediction using Physically Informed Deep Neural Networks
- Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart Home
- RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data
- Incorporating Customer Reviews in Size and Fit Recommendation systems for Fashion E-Commerce
- Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits
- A Modular Framework for Reinforcement Learning Optimal Execution
- Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model
- Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets
- Deep is a Luxury We Don't Have
- Mixed-Precision Neural Networks: A Survey
- ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results
- Optimizing Anchor-based Detectors for Autonomous Driving Scenes
- Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages
- An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
- MILAN: Masked Image Pretraining on Language Assisted Representation
- Figure Descriptive Text Extraction using Ontological Representation
- Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
- Shifted Windows Transformers for Medical Image Quality Assessment
- Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning
- CORNET: Learning Table Formatting Rules By Example
- Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach
- Interaction Decompositions for Tensor Network Regression
- Gaussian Process Surrogate Models for Neural Networks
- A Probabilistic Framework for Mutation Testing in Deep Neural Networks
- Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells
- WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning
- Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment
- Algebraic Reduction of Hidden Markov Models
- RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
- PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees
- Partition Pooling for Convolutional Graph Network Applications in Particle Physics
- Interactive Code Generation via Test-Driven User-Intent Formalization
- Valid Inference After Causal Discovery
- Heatmap Regression for Lesion Detection using Pointwise Annotations
- Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
- Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace
- Machine learning in front of statistical methods for prediction spread SARS-CoV-2 in Colombia
- Domain-Specific Text Generation for Machine Translation
- Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
- Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
- Optimal Transport Features for Morphometric Population Analysis
- Speech Synthesis with Mixed Emotions
- Super-Universal Regularized Newton Method
- Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries
- Uncertainty Quantification for Traffic Forecasting: A Unified Approach
- TotalSegmentator: robust segmentation of 104 anatomical structures in CT images
- Face Morphing Attacks and Face Image Quality: The Effect of Morphing and the Unsupervised Attack Detection by Quality
- GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions
- Predicting Tornadoes days ahead with Machine Learning
- MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
- Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation
- Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
- Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
- Differencing based Self-supervised pretraining for Scene Change Detection
- HyperTime: Implicit Neural Representation for Time Series
- Joint reconstruction-segmentation on graphs
- K-UNN: k-Space Interpolation With Untrained Neural Network
- Hybrid Transformer Network for Deepfake Detection
- Seeing your sleep stage: cross-modal distillation from EEG to infrared video
- Towards Sequence-Level Training for Visual Tracking
- Random survival forests with multivariate longitudinal endogenous covariates
- Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning
- Empirical investigations on WVA structural issues
- Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
- PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition
- The dynamics of belief: continuously monitoring and visualising complex systems
- A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
- Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
- FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
- A biology-driven deep generative model for cell-type annotation in cytometry
- On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
- General Cutting Planes for Bound-Propagation-Based Neural Network Verification
- A Modified UDP for Federated Learning Packet Transmissions
- Learning Point Processes using Recurrent Graph Network
- Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
- A Model of Anaphoric Ambiguities using Sheaf Theoretic Quantum-like Contextuality and BERT
- Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax
- Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems
- Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors
- Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation
- Semi-supervised Vision Transformers at Scale
- Overview of CTC 2021: Chinese Text Correction for Native Speakers
- Searching for chromate replacements using natural language processing and machine learning algorithms
- PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
- A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets
- Top Gear or Black Mirror: Inferring Political Leaning From Non-Political Content
- Goodness of Fit Metrics for Multi-class Predictor
- Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks
- Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph
- PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding
- Heterogeneous Line Graph Transformer for Math Word Problems
- Towards Automated Key-Point Detection in Images with Partial Pool View
All 118
- Adaptive and Implicit Regularization for Matrix Completion
- Scalable neural quantum states architecture for quantum chemistry
- Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection
- Best Policy Identification in Linear MDPs
- Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions
- Quantized Adaptive Subgradient Algorithms and Their Applications
- SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations
- Draft, Command, and Edit: Controllable Text Editing in E-Commerce
- Regret Analysis for Hierarchical Experts Bandit Problem
- ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design
- Language-Guided Face Animation by Recurrent StyleGAN-based Generator
- OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms
- FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques
- Memorizing Complementation Network for Few-Shot Class-Incremental Learning
- Learning governing physics from output only measurements
- Polynomial Optimization: Enhancing RLT relaxations with Conic Constraints
- Multi-fidelity wavelet neural operator with application to uncertainty quantification
- Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines