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Inductive Bias

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Showing 451–500 of 1529 papers

TitleStatusHype
Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?Code0
Modeling Context With Linear Attention for Scalable Document-Level TranslationCode0
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention ConvergenceCode0
Model-agnostic Measure of Generalization DifficultyCode0
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data SynthesizingCode0
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity StatesCode0
Meta-Learning with Warped Gradient DescentCode0
Meta-Learning the Inductive Biases of Simple Neural CircuitsCode0
MGA: Medical generalist agent through text-guided knowledge transformationCode0
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of ConfounderCode0
Enhancing Cross-Modal Medical Image Segmentation through CompositionalityCode0
Explicit Disentanglement of Appearance and Perspective in Generative ModelsCode0
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise ModelsCode0
Explicit Inductive Bias for Transfer Learning with Convolutional NetworksCode0
Neural Module Networks for Reasoning over TextCode0
Maximum Total Correlation Reinforcement LearningCode0
End-to-End Supervised Multilabel Contrastive LearningCode0
Maximum Roaming Multi-Task LearningCode0
End-to-End Meta-Bayesian Optimisation with Transformer Neural ProcessesCode0
Empowering Graph Invariance Learning with Deep Spurious InfomaxCode0
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken SentencesCode0
Masked Latent Transformer with the Random Masking Ratio to Advance the Diagnosis of Dental FluorosisCode0
Expressive Monotonic Neural NetworksCode0
Compositional Generalization without Trees using Multiset Tagging and Latent PermutationsCode0
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
Making sense of sensory inputCode0
Compositional Language Understanding with Text-based Relational ReasoningCode0
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic AdaptersCode0
Can we learn gradients by Hamiltonian Neural Networks?Code0
Faithful Label-free Knowledge DistillationCode0
Deep Transformers Thirst for Comprehensive-Frequency DataCode0
Can Transformers Do Enumerative Geometry?Code0
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual ProcessingCode0
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?Code0
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial ModelingCode0
LPGD: A General Framework for Backpropagation through Embedded Optimization LayersCode0
Logical Tasks for Measuring Extrapolation and Rule ComprehensionCode0
Do we really need temporal convolutions in action segmentation?Code0
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive LearningCode0
Local Nonparametric Meta-LearningCode0
Efficient and Robust Jet Tagging at the LHC with Knowledge DistillationCode0
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient DescentCode0
GLAD: Learning Sparse Graph RecoveryCode0
Local Perception-Aware Transformer for Aerial TrackingCode0
E(2) Equivariant Neural Networks for Robust Galaxy Morphology ClassificationCode0
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-LipschitznessCode0
Poisson-Randomized Gamma Dynamical SystemsCode0
Neural networks can understand compositional functions that humans do not, in the context of emergent communicationCode0
Dynamical Mechanism of Sampling-based Stochastic Inference under Probabilistic Population CodesCode0
Learning Type Annotation: Is Big Data Enough?Code0
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