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Inductive Bias

Papers

Showing 551600 of 1529 papers

TitleStatusHype
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
MGA: Medical generalist agent through text-guided knowledge transformationCode0
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive BiasCode0
Delving Deeper into Cross-lingual Visual Question AnsweringCode0
Making sense of sensory inputCode0
A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature ForecastingCode0
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical SystemsCode0
Better Long-Range Dependency By Bootstrapping A Mutual Information RegularizerCode0
Defining Expertise: Applications to Treatment Effect EstimationCode0
LPGD: A General Framework for Backpropagation through Embedded Optimization LayersCode0
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic AdaptersCode0
Deep Variational Reinforcement Learning for POMDPsCode0
Local Perception-Aware Transformer for Aerial TrackingCode0
Deep Reinforcement Learning via Object-Centric AttentionCode0
Logical Tasks for Measuring Extrapolation and Rule ComprehensionCode0
Additive function approximation in the brainCode0
Deep learning in a bilateral brain with hemispheric specializationCode0
Local Nonparametric Meta-LearningCode0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Learning with Hyperspherical UniformityCode0
Learning Type Annotation: Is Big Data Enough?Code0
Learning to Substitute Spans towards Improving Compositional GeneralizationCode0
Learning Visual Dynamics Models of Rigid Objects using Relational Inductive BiasesCode0
Deep Bayesian inference for seismic imaging with tasksCode0
Learning to cluster neuronal functionCode0
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract ProgramsCode0
Habaek: High-performance water segmentation through dataset expansion and inductive bias optimizationCode0
Learning Symmetries via Weight-Sharing with Doubly Stochastic TensorsCode0
Balancing Label Quantity and Quality for Scalable ElicitationCode0
Learning Latent Graph Structures and their UncertaintyCode0
Learning Inductive Biases with Simple Neural NetworksCode0
Learning Interpretable Disease Self-Representations for Drug RepositioningCode0
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize HierarchicallyCode0
Autoequivariant Network Search via Group DecompositionCode0
Group Equivariant Deep Reinforcement LearningCode0
Data Augmentation and Regularization for Learning Group EquivarianceCode0
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail GenerationCode0
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body SimulationCode0
Learning From Brains How to Regularize MachinesCode0
Learning and Generalizing Polynomials in Simulation MetamodelingCode0
Leap: Inductive Link Prediction via Learnable TopologyAugmentationCode0
Learning Continuous Rotation Canonicalization with Radial Beam SamplingCode0
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature SharingCode0
Learning to Rank Patches for Unbiased Image Redundancy ReductionCode0
Learning to reason over visual objectsCode0
Investigating the Interplay between Features and Structures in Graph LearningCode0
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender SystemsCode0
Graph neural networks and non-commuting operatorsCode0
Graph networks as learnable physics engines for inference and controlCode0
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