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Inductive Bias

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Showing 351–400 of 1529 papers

TitleStatusHype
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path PlanningCode2
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian MotionCode0
Towards Understanding the Relationship between In-context Learning and Compositional Generalization—0
Neural Markov Random Field for Stereo MatchingCode2
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework—0
Neural reproducing kernel Banach spaces and representer theorems for deep networks—0
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task CoverageCode0
Pre-Trained Model Recommendation for Downstream Fine-tuning—0
Few-shot Learner Parameterization by Diffusion Time-stepsCode1
Defining Expertise: Applications to Treatment Effect EstimationCode0
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation—0
A Relational Inductive Bias for Dimensional Abstraction in Neural Networks—0
Vision Transformers with Natural Language Semantics—0
Hybrid^2 Neural ODE Causal Modeling and an Application to Glycemic ResponseCode0
Discovering Abstract Symbolic Relations by Learning Unitary Group Representations—0
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis—0
On Efficiently Representing Regular Languages as RNNs—0
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups—0
Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsCode0
Scaling physics-informed hard constraints with mixture-of-expertsCode1
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy PhysicsCode1
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics ModelingCode0
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks—0
FViT: A Focal Vision Transformer with Gabor FilterCode1
ContiFormer: Continuous-Time Transformer for Irregular Time Series ModelingCode0
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement—0
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive BiasCode0
Better-than-KL PAC-Bayes Bounds—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
SimMLP: Training MLPs on Graphs without SupervisionCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed HypergraphsCode1
Distilling Symbolic Priors for Concept Learning into Neural Networks—0
Wasserstein proximal operators describe score-based generative models and resolve memorization—0
Efficient Stagewise Pretraining via Progressive Subnetworks—0
Time Series Diffusion in the Frequency DomainCode2
Towards Understanding Inductive Bias in Transformers: A View From Infinity—0
On the Completeness of Invariant Geometric Deep Learning ModelsCode0
Arithmetic Feature Interaction Is Necessary for Deep Tabular LearningCode1
Topology-Informed Graph TransformerCode1
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning—0
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences—0
Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral functionCode0
MixMobileNet: A Mixed Mobile Network for Edge Vision ApplicationsCode0
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs—0
MambaByte: Token-free Selective State Space Model—0
Interpreting Equivariant Representations—0
Convolutional Initialization for Data-Efficient Vision TransformersCode1
Differentiable Tree Search NetworkCode5
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