Papers
Mon 26 Dec 2022
68 papers
- VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and ChallengesLLM reasoning → Multimodal reasoning
- Prototype-guided Cross-task Knowledge Distillation for Large-scale ModelsKnowledge distillation → General knowledge distillation methods
- Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Crop mapping in the small sample/no sample case: an approach using a two-level cascade classifier and integrating domain knowledge
- RFPose-OT: RF-Based 3D Human Pose Estimation via Optimal Transport Theory
- Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
- UB3: Best Beam Identification in Millimeter Wave Systems via Pure Exploration Unimodal Bandits
- Personalized Student Attribute Inference
- Investigation and rectification of NIDS datasets and standardized feature set derivation for network attack detection with graph neural networks
- Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes
- Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization
- A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks
- Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050
- Automatic Text Simplification of News Articles in the Context of Public Broadcasting
- Structure-based drug discovery with deep learning
- Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Dealing with the Sparse Data Challenge
- On the Level Sets and Invariance of Neural Tuning Landscapes
- PMODE: Prototypical Mask based Object Dimension Estimation
- DSI2I: Dense Style for Unpaired Image-to-Image Translation
- Robust computation of optimal transport by β-potential regularization
- Saliency-Augmented Memory Completion for Continual Learning
- DPack: Efficiency-Oriented Privacy Budget Scheduling
- Personalized Prediction of Offensive News Comments by Considering the Characteristics of Commenters
- 2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance
- Highlighting Named Entities in Input for Auto-Formulation of Optimization Problems
- Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers
- Generalized Differentiable RANSAC
- Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error
- Higher order organizational features can distinguish protein interaction networks of disease classes: a case study of neoplasms and neurological diseases
- Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery
- Orientation-Shared Convolution Representation for CT Metal Artifact Learning
- MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding
- Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN
- Gaussian Process Classification Bandits
- Toward Efficient Automated Feature Engineering
- Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
- Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions
- Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
- Large Language Models Encode Clinical Knowledge
- Fewer is More: Efficient Object Detection in Large Aerial Images
- Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
- Quaternion Backpropagation
- Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images
- TypeFormer: Transformers for Mobile Keystroke Biometrics
- Homophily modulates double descent generalization in graph convolution networks
- Transformer and GAN Based Super-Resolution Reconstruction Network for Medical Images
- Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders
- Towards Improved Prediction of Ship Performance: A Comparative Analysis on In-service Ship Monitoring Data for Modeling the Speed-Power Relation
- OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
- MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos
- GWO-FI: A novel machine learning framework by combining Gray Wolf Optimizer and Frequent Itemsets to diagnose and investigate effective factors on In-Hospital Mortality and Length of Stay among Kermanshahian Cardiovascular Disease patients
- A Survey of Face Recognition
- Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
- Kidney and Kidney Tumour Segmentation in CT Images
- Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies
- Diagnosis of COVID-19 based on Chest Radiography
- Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
- Track Before Detect of Low SNR Objects in a Sequence of Image Frames Using Particle Filter
- Skit-S2I: An Indian Accented Speech to Intent dataset
- Bias Mitigation Framework for Intersectional Subgroups in Neural Networks
- TextBox 2.0: A Text Generation Library with Pre-trained Language Models
- Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
- Improved Kernel Alignment Regret Bound for Online Kernel Learning
- Application of Unsupervised Domain Adaptation for Structural MRI Analysis
- MC-Nonlocal-PINNs: handling nonlocal operators in PINNs via Monte Carlo sampling
- Tensor PCA for Factor Models
- Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
- SMMix: Self-Motivated Image Mixing for Vision Transformers