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Inductive Bias

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Showing 851–900 of 1529 papers

TitleStatusHype
Neural reproducing kernel Banach spaces and representer theorems for deep networks—0
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries—0
Neural tangent kernel eigenvalues accurately predict generalization—0
Neural World Models for Computer Vision—0
Neuron with Steady Response Leads to Better Generalization—0
NeuroSED: Learning Subgraph Similarity via Graph Neural Networks—0
Non-autoregressive Personalized Bundle Generation—0
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction—0
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models—0
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning—0
Numerical evidence against advantage with quantum fidelity kernels on classical data—0
Object-based active inference—0
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D—0
Occ^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions—0
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion—0
Offline Reinforcement Learning with Additional Covering Distributions—0
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions—0
On Characterizing the Capacity of Neural Networks using Algebraic Topology—0
On complementing end-to-end human behavior predictors with planning—0
Towards Faithful and Consistent Explanations for Graph Neural Networks—0
One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes—0
On Generalization Bounds for Neural Networks with Low Rank Layers—0
On Learning Read-once DNFs With Neural Networks—0
On Learning Vehicle Detection in Satellite Video—0
Reconciling meta-learning and continual learning with online mixtures of tasks—0
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning—0
Physics Informed Symbolic Networks—0
On Pairwise Clustering with Side Information—0
On the Design Space Between Transformers and Recursive Neural Nets—0
On the hardness of learning under symmetries—0
On the Identifiability of Nonlinear ICA: Sparsity and Beyond—0
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent—0
On the implicit minimization of alternative loss functions when training deep networks—0
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification—0
On the Inductive Bias of a CNN for Distributions with Orthogonal Patterns—0
On the Inductive Bias of Dropout—0
On the inductive bias of infinite-depth ResNets and the bottleneck rank—0
On the Inductive Bias of Stacking Towards Improving Reasoning—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
On The Inductive Bias of Words in Acoustics-to-Word Models—0
On the Long Range Abilities of Transformers—0
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training—0
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition—0
On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks—0
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias—0
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration—0
Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension—0
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning—0
π^3: Scalable Permutation-Equivariant Visual Geometry Learning—0
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