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Inductive Bias

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Showing 1101–1150 of 1529 papers

TitleStatusHype
Compositionality as Lexical SymmetryCode0
Learning Intuitive Policies Using Action Features—0
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models—0
Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging—0
Towards Sample-efficient Overparameterized Meta-learningCode0
KNN Local Attention for Image Restoration—0
DESTR: Object Detection With Split Transformer—0
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention ConvergenceCode0
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?—0
NeRD++: Improved 3D-mirror symmetry learning from a single image—0
Deep Proximal Learning for High-Resolution Plane Wave Compounding—0
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action RecognitionCode0
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach—0
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics—0
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval—0
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization—0
Equivariant Quantum Graph Circuits—0
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production—0
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors—0
Learning to Learn Dense Gaussian Processes for Few-Shot Learning—0
Self-Instantiated Recurrent Units with Dynamic Soft Recursion—0
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning—0
Neuron with Steady Response Leads to Better Generalization—0
On the Generalization of Agricultural Drought Classification from Climate DataCode0
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias—0
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body ProblemCode0
Neural Fields as Learnable Kernels for 3D Reconstruction—0
Depth Without the Magic: Inductive Bias of Natural Gradient Descent—0
Physics-enhanced Neural Networks in the Small Data RegimeCode0
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints—0
Linking-Enhanced Pre-Training for Table Semantic Parsing—0
Meta-learning via Language Model In-context Tuning—0
Co-training an Unsupervised Constituency Parser with Weak Supervision—0
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models—0
TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance—0
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One—0
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping—0
Multi-Task Neural Processes—0
Importance of Kernel Bandwidth in Quantum Machine LearningCode0
A Relational Model for One-Shot Classification—0
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices—0
Can we learn gradients by Hamiltonian Neural Networks?Code0
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical SystemsCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
TopicNet: Semantic Graph-Guided Topic DiscoveryCode0
MVT: Multi-view Vision Transformer for 3D Object RecognitionCode0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Towards Robust Waveform-Based Acoustic Models—0
Probing as Quantifying Inductive BiasCode0
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation—0
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