Papers
Sat 23 Jul 2022
88 papers
- Online Knowledge Distillation via Mutual Contrastive Learning for Visual RecognitionKnowledge distillation → General knowledge distillation methods
- Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and FusionKnowledge distillation → Federated, robust and private distillation
- Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language ExplanationsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Event-Driven Tactile Learning with Location Spiking Neurons
- An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic
- A Historical Interaction between Artificial Intelligence and Philosophy
- Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding
- Real Time Object Detection System with YOLO and CNN Models: A Review
- Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions
- A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling
- Initial Orbit Determination for the CR3BP using Particle Swarm Optimization
- Implementation Of Tiny Machine Learning Models On Arduino 33 BLE For Gesture And Speech Recognition
- A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors
- Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation
- Face Deblurring using Dual Camera Fusion on Mobile Phones
- Generative Artisan: A Semantic-Aware and Controllable CLIPstyler
- Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
- Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential
- Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning
- Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks
- Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs
- Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis
- Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification
- Testing the Robustness of Learned Index Structures
- Robots Enact Malignant Stereotypes
- Context based lemmatizer for Polish language
- A general-purpose method for applying Explainable AI for Anomaly Detection
- Better Reasoning Behind Classification Predictions with BERT for Fake News Detection
- Tensor-based Multi-view Spectral Clustering via Shared Latent Space
- 3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
- High-Resolution Swin Transformer for Automatic Medical Image Segmentation
- Self-Support Few-Shot Semantic Segmentation
- A Ligand-and-structure Dual-driven Deep Learning Method for the Discovery of Highly Potent GnRH1R Antagonist to treat Uterine Diseases
- Learning to Sell a Focal-ancillary Combination
- Annealed Training for Combinatorial Optimization on Graphs
- FastATDC: Fast Anomalous Trajectory Detection and Classification
- HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection
- Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes
- Low-complexity CNNs for Acoustic Scene Classification
- Supporting peace negotiations in the Yemen war through machine learning
- Audio-driven Neural Gesture Reenactment with Video Motion Graphs
- Unstructured Road Segmentation using Hypercolumn based Random Forests of Local experts
- Vaccine Discourse on Twitter During the COVID-19 Pandemic
- Contrastive Monotonic Pixel-Level Modulation
- Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild
- Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
- SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling
- Intelligent 3D Network Protocol for Multimedia Data Classification using Deep Learning
- Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter
- Active Pointly-Supervised Instance Segmentation
- Towards Smart Fake News Detection Through Explainable AI
- Time Series Prediction under Distribution Shift using Differentiable Forgetting
- GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
- Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss
- 3D Labeling Tool
- Progressive Scene Text Erasing with Self-Supervision
- CompNVS: Novel View Synthesis with Scene Completion
- Anomaly Detection for Fraud in Cryptocurrency Time Series
- Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks
- Learning Object Placement via Dual-path Graph Completion
- When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
- UC-OWOD: Unknown-Classified Open World Object Detection
- Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization
- BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation
- μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications
- Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
- A Taxonomy of Recurrent Learning Rules
- Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss
- The prediction of the quality of results in Logic Synthesis using Transformer and Graph Neural Networks
- Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
- RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
- Enhancing Document-level Relation Extraction by Entity Knowledge Injection
- Epersist: A Self Balancing Robot Using PID Controller And Deep Reinforcement Learning
- Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
- Detection and Initial Assessment of Lunar Landing Sites Using Neural Networks
- Satellite Detection in Unresolved Space Imagery for Space Domain Awareness Using Neural Networks
- Halftoning with Multi-Agent Deep Reinforcement Learning
- PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo
- A New Approach to Drifting Games, Based on Asymptotically Optimal Potentials
- Orientation and Context Entangled Network for Retinal Vessel Segmentation
- Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge
- Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency
- Causal Fairness Analysis
- Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data
- Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data