SOTAVerified

Inductive Bias

Papers

Showing 201250 of 1529 papers

TitleStatusHype
Efficient Training of Visual Transformers with Small DatasetsCode1
Interpretable statistical representations of neural population dynamics and geometryCode1
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisCode1
Categorical Normalizing Flows via Continuous TransformationsCode1
Iterative Superquadric Recomposition of 3D Objects from Multiple ViewsCode1
K-Space Transformer for Undersampled MRI ReconstructionCode1
A Generalizable Model-and-Data Driven Approach for Open-Set RFF AuthenticationCode1
Data-Free Knowledge Distillation for Heterogeneous Federated LearningCode1
Are Sparse Autoencoders Useful? A Case Study in Sparse ProbingCode1
Equivariant Mesh Attention NetworksCode1
Charformer: Fast Character Transformers via Gradient-based Subword TokenizationCode1
A Generalization of Transformer Networks to GraphsCode1
Fast Interpretable Greedy-Tree SumsCode1
Chunked Autoregressive GAN for Conditional Waveform SynthesisCode1
Arithmetic Feature Interaction Is Necessary for Deep Tabular LearningCode1
Learning to plan with uncertain topological mapsCode1
Learning where to learn: Gradient sparsity in meta and continual learningCode1
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip FusionCode1
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning TasksCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual DataCode1
LIME: Learning Inductive Bias for Primitives of Mathematical ReasoningCode1
Dynamic Graph Learning-Neural Network for Multivariate Time Series ModelingCode1
AMR Parsing with Action-Pointer TransformerCode1
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint GenerationCode1
Deep Implicit Optimization enables Robust Learnable Features for Deformable Image RegistrationCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender SystemsCode1
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic ParsingCode1
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential RecommendationCode1
Communicative Message Passing for Inductive Relation ReasoningCode1
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
Composing Object Relations and Attributes for Image-Text MatchingCode1
Amortized Inference for Causal Structure LearningCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
A Structured Span SelectorCode1
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural NetworksCode1
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing BodyCode1
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural NetworksCode1
DRew: Dynamically Rewired Message Passing with DelayCode1
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentationCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive LearningCode1
Contrastive Syn-to-Real GeneralizationCode1
Multifactor Sequential Disentanglement via Structured Koopman AutoencodersCode1
2-D SSM: A General Spatial Layer for Visual TransformersCode1
Container: Context Aggregation NetworksCode1
Distribution inference risks: Identifying and mitigating sources of leakageCode1
Dual Progressive Transformations for Weakly Supervised Semantic SegmentationCode1
Show:102550
← PrevPage 5 of 31Next →

No leaderboard results yet.