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Inductive Bias

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Showing 151–200 of 1529 papers

TitleStatusHype
NeRF-GAN Distillation for Efficient 3D-Aware Generation with ConvolutionsCode1
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage AnalysisCode1
Physics-driven machine learning models coupling PyTorch and FiredrakeCode1
Ewald-based Long-Range Message Passing for Molecular GraphsCode1
Permutation Equivariant Neural FunctionalsCode1
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysisCode1
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised LearningCode1
Graph Generation with Diffusion MixtureCode1
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and TopologyCode1
Learning to Optimize for Reinforcement LearningCode1
Generative Adversarial Symmetry DiscoveryCode1
Robust Transformer with Locality Inductive Bias and Feature NormalizationCode1
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingCode1
Correlation Loss: Enforcing Correlation between Classification and LocalizationCode1
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in ClusteringCode1
Masked autoencoders are effective solution to transformer data-hungryCode1
Vision Transformer with Attentive Pooling for Robust Facial Expression RecognitionCode1
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural NetworksCode1
Cross Aggregation Transformer for Image RestorationCode1
Hierarchical Phrase-based Sequence-to-Sequence LearningCode1
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic ApproachCode1
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
Learning Robust Dynamics through Variational Sparse GatingCode1
Revisiting Heterophily For Graph Neural NetworksCode1
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point CloudsCode1
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small DatasetsCode1
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesCode1
SimPer: Simple Self-Supervised Learning of Periodic TargetsCode1
Predictive Inference with Feature Conformal PredictionCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing BodyCode1
Distribution inference risks: Identifying and mitigating sources of leakageCode1
A Light Recipe to Train Robust Vision TransformersCode1
Towards Accurate Binary Neural Networks via Modeling Contextual DependenciesCode1
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingCode1
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashingCode1
Semi-supervised Vision Transformers at ScaleCode1
Equivariance and Invariance Inductive Bias for Learning from Insufficient DataCode1
Hierarchical Kickstarting for Skill Transfer in Reinforcement LearningCode1
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot SegmentationCode1
Human Trajectory Prediction via Neural Social PhysicsCode1
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image SynthesisCode1
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
LightViT: Towards Light-Weight Convolution-Free Vision TransformersCode1
Verifying the Union of Manifolds Hypothesis for Image DataCode1
Pure Transformers are Powerful Graph LearnersCode1
Compressing Features for Learning with Noisy LabelsCode1
Understanding convolution on graphs via energiesCode1
Polar Parametrization for Vision-based Surround-View 3D DetectionCode1
Generative Modelling With Inverse Heat DissipationCode1
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