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Inductive Bias

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TitleStatusHype
Cross-Domain Few-Shot Classification via Inter-Source Stylization—0
Global Hierarchical Attention for 3D Point Cloud Analysis—0
Unifying physical systems' inductive biases in neural ODE using dynamics constraints—0
Two-Stream Transformer Architecture for Long Video Understanding—0
Local Perception-Aware Transformer for Aerial TrackingCode0
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks—0
End-to-end View Synthesis via NeRF Attention—0
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger—0
Thermodynamics of learning physical phenomena—0
Effective and Interpretable Information Aggregation with Capacity Networks—0
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?—0
Auto-regressive Image Synthesis with Integrated Quantization—0
Structural Causal 3D Reconstruction—0
HyperInvariances: Amortizing Invariance Learning—0
Lightweight Vision Transformer with Cross Feature Attention—0
Forming Trees with Treeformers—0
Pyramid Transformer for Traffic Sign Detection—0
Size and depth of monotone neural networks: interpolation and approximationCode0
Physics Informed Symbolic Networks—0
A law of adversarial risk, interpolation, and label noise—0
Generalization to translation shifts: a study in architectures and augmentations—0
SNeRF: Stylized Neural Implicit Representations for 3D Scenes—0
Ultra-Low-Bitrate Speech Coding with Pretrained Transformers—0
Learning Disentangled Representations for Controllable Human Motion Prediction—0
Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention—0
Group-invariant tensor train networks for supervised learning—0
Visual Pre-training for Navigation: What Can We Learn from Noise?Code0
ComDensE : Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph CompletionCode0
Prompting Decision Transformer for Few-Shot Policy Generalization—0
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge—0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive BiasCode0
Learning Continuous Rotation Canonicalization with Radial Beam SamplingCode0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
SAViR-T: Spatially Attentive Visual Reasoning with TransformersCode0
Masked Siamese ConvNets—0
On the Identifiability of Nonlinear ICA: Sparsity and Beyond—0
Forecasting of depth and ego-motion with transformers and self-supervision—0
Bandwidth Enables Generalization in Quantum Kernel Models—0
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awarenessCode0
A General framework for PAC-Bayes Bounds for Meta-Learning—0
The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon—0
Intrinsic dimensionality and generalization properties of the R-norm inductive biasCode0
On Neural Architecture Inductive Biases for Relational TasksCode0
Spatial Entropy as an Inductive Bias for Vision TransformersCode0
Syntactic Inductive Biases for Deep Learning Methods—0
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D—0
A Bird's-Eye Tutorial of Graph Attention Architectures—0
Entangled Residual Mappings—0
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks—0
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