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Showing 101–150 of 404 papers

TitleStatusHype
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models—0
Equivariant Transformer is all you need—0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding—0
Prototype of a robotic system to assist the learning process of English language with text-generation through DNN—0
Chain-of-Thought Reasoning is a Policy Improvement Operator—0
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference—0
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization—0
Towards Realistic Zero-Shot Classification via Self Structural Semantic AlignmentCode1
Learning in Dynamic Systems and Its Application to Adaptive PID Control—0
3DPortraitGAN: Learning One-Quarter Headshot 3D GANs from a Single-View Portrait Dataset with Diverse Body PosesCode1
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure SensingCode1
Federated Self-Learning with Weak Supervision for Speech Recognition—0
Retrieval-Based Transformer for Table AugmentationCode1
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential EquationsCode1
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation—0
Making forecasting self-learning and adaptive -- Pilot forecasting rack—0
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA—0
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency—0
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems—0
Self-Learning Symmetric Multi-view Probabilistic Clustering—0
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming—0
POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour—0
TransFlow: Transformer as Flow Learner—0
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement LearningCode0
Domain Generalization for Mammographic Image Analysis with Contrastive Learning—0
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation—0
AISecKG: Knowledge Graph Dataset for Cybersecurity EducationCode1
TeSLA: Test-Time Self-Learning With Automatic Adversarial AugmentationCode1
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and RecognitionCode1
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective—0
Joint Spectrum and Power Allocation for V2X Communications with Imperfect CSI—0
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning—0
ARGUS: Context-Based Detection of Stealthy IoT Infiltration AttacksCode1
A Lifetime Extended Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles via Self-Learning Fuzzy Reinforcement Learning—0
DELTA: degradation-free fully test-time adaptation—0
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning—0
Alien Coding—0
Boundary Aware U-Net for Glacier SegmentationCode0
Discovery of 2D materials using Transformer Network based Generative DesignCode2
Unifying Consciousness and Time to Enhance Artificial Intelligence—0
Active Learning for Abstractive Text SummarizationCode0
Text classification in shipping industry using unsupervised models and Transformer based supervised models—0
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning—0
Sequence learning in a spiking neuronal network with memristive synapses—0
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree searchCode0
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