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Inductive Bias

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Showing 701–750 of 1529 papers

TitleStatusHype
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging—0
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel—0
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence—0
ImageNet suffers from dichotomous data difficulty—0
Is forgetting less a good inductive bias for forward transfer?—0
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?—0
Demystifying Inductive Biases for β-VAE Based Architectures—0
Is Heterophily A Real Nightmare For Graph Neural Networks Performing Node Classification?—0
Is In-Context Universality Enough? MLPs are Also Universal In-Context—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Ignorance is Bliss: Robust Control via Information Gating—0
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness—0
Joint Attention for Multi-Agent Coordination and Social Learning—0
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks—0
JPEG Information Regularized Deep Image Prior for Denoising—0
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections—0
Just Add Functions: A Neural-Symbolic Language Model—0
DiSK: A Diffusion Model for Structured Knowledge—0
IDInit: A Universal and Stable Initialization Method for Neural Network Training—0
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias—0
Delay Embedding Theory of Neural Sequence Models—0
Knowledge-Based Distant Regularization in Learning Probabilistic Models—0
DNF-Net: A Neural Architecture for Tabular Data—0
Boosting Image Recognition with Non-differentiable Constraints—0
Identifying Collaborative Conversations using Latent Discourse Behaviors—0
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias—0
Identifiable Representation and Model Learning for Latent Dynamic Systems—0
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias—0
Large-scale learning of generalised representations for speaker recognition—0
Latent Action Priors for Locomotion with Deep Reinforcement Learning—0
Addressing Issues with Working Memory in Video Object Segmentation—0
Lightweight Vision Transformer with Cross Feature Attention—0
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization—0
Do Quantum Neural Networks have Simplicity Bias?—0
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets—0
Icy: A benchmark for measuring compositional inductive bias of emergent communication models—0
3D-Consistent Image Inpainting with Diffusion Models—0
Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
Better-than-KL PAC-Bayes Bounds—0
Lifelong Learning with Non-i.i.d. Tasks—0
Learning Clustered Representation for Complex Free Energy Landscapes—0
Learning Disentangled Representations for Controllable Human Motion Prediction—0
Learning dynamic polynomial proofs—0
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks—0
Learning Entailment-Based Sentence Embeddings from Natural Language Inference—0
HyperInvariances: Amortizing Invariance Learning—0
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies—0
Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization—0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
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