Papers
Fri 7 Jan 2022
105 papers
- Microdosing: Knowledge Distillation for GAN based CompressionKnowledge distillation → General knowledge distillation methods
- Offline Reinforcement Learning for Road Traffic ControlOffline RL and imitation learning from data → Imitation and offline RL for driving
- Intent Matching based Customer Services Chatbot with Natural Language Understanding
- An Automated Robotic Arm: A Machine Learning Approach
- Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents
- Incremental Knowledge Tracing from Multiple Schools
- AI and the Sense of Self
- Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy
- Unifying Epidemic Models with Mixtures
- An Accelerator for Rule Induction in Fuzzy Rough Theory
- Probabilistic spatial clustering based on the Self Discipline Learning (SDL) model of autonomous learning
- Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks
- A New Amharic Speech Emotion Dataset and Classification Benchmark
- Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships
- An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System
- Development of Automatic Tree Counting Software from UAV Based Aerial Images With Machine Learning
- Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra
- BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
- Improved Input Reprogramming for GAN Conditioning
- Video Coding for Machines: Partial transmission of SIFT features
- Detecting CAN Masquerade Attacks with Signal Clustering Similarity
- Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
- Imagined versus Remembered Stories: Quantifying Differences in Narrative Flow
- Stay Positive: Knowledge Graph Embedding Without Negative Sampling
- Fair and efficient contribution valuation for vertical federated learning
- GPU-Net: Lightweight U-Net with more diverse features
- A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond
- Data-Efficient Information Extraction from Form-Like Documents
- MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound
- United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI
- Attention Option-Critic
- Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images
- Neighbor2vec: an efficient and effective method for Graph Embedding
- FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
- Spatio-Temporal Graph Representation Learning for Fraudster Group Detection
- Compressing Models with Few Samples: Mimicking then Replacing
- Embodied Hands: Modeling and Capturing Hands and Bodies Together
- Generalized Category Discovery
- Detecting Twenty-thousand Classes using Image-level Supervision
- Explainable deep learning for insights in El Ni~no and river flows
- Equalized Focal Loss for Dense Long-Tailed Object Detection
- FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
- Multi-Model Federated Learning
- An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs
- Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
- Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents
- A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
- On robust risk-based active-learning algorithms for enhanced decision support
- Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition
- AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models
- A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
- Machine-learning-based arc selection for constrained shortest path problems in column generation
- MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
- NeROIC: Neural Rendering of Objects from Online Image Collections
- Learning Target-aware Representation for Visual Tracking via Informative Interactions
- Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions
- A Review of Deep Learning Techniques for Markerless Human Motion on Synthetic Datasets
- Sign Language Video Retrieval with Free-Form Textual Queries
- Progressive Video Summarization via Multimodal Self-supervised Learning
- Audio representations for deep learning in sound synthesis: A review
- Semantic-based Data Augmentation for Math Word Problems
- Sparse PCA on fixed-rank matrices
- Automated Dissipation Control for Turbulence Simulation with Shell Models
- Bayesian Neural Networks for Reversible Steganography
- Deep Domain Adversarial Adaptation for Photon-efficient Imaging
- Similarities and Differences between Machine Learning and Traditional Advanced Statistical Modeling in Healthcare Analytics
- Churn prediction in online gambling
- k-Center Clustering with Outliers in Sliding Windows
- Negative Evidence Matters in Interpretable Histology Image Classification
- Applications of Signature Methods to Market Anomaly Detection
- Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
- Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations
- Optimality in Noisy Importance Sampling
- Effect of Prior-based Losses on Segmentation Performance: A Benchmark
- Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding
- Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset
- Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement
- Amplitude SAR Imagery Splicing Localization
- Neural calibration of hidden inhomogeneous Markov chains -- Information decompression in life insurance
- Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO
- The Defeat of the Winograd Schema Challenge
- Mirror Learning: A Unifying Framework of Policy Optimisation
- Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation
- Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining
- Motion Prediction via Joint Dependency Modeling in Phase Space
- Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
- GenLabel: Mixup Relabeling using Generative Models
- Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images
- iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
- Bayesian Online Change Point Detection for Baseline Shifts
- An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization
- RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images
- Stochastic Saddle Point Problems with Decision-Dependent Distributions
- A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
- Generalized quantum similarity learning
- A three-dimensional dual-domain deep network for high-pitch and sparse helical CT reconstruction
- Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling
- Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task
- Budget-aware Few-shot Learning via Graph Convolutional Network
- Extending One-Stage Detection with Open-World Proposals
All 105
- Hyperparameter Selection Methods for Fitted Q-Evaluation with Error Guarantee
- Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey
- Persistent Homology for Breast Tumor Classification using Mammogram Scans
- GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks
- Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping