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Inductive Bias

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Showing 801–850 of 1529 papers

TitleStatusHype
Structural Causal 3D Reconstruction—0
HyperInvariances: Amortizing Invariance Learning—0
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image SynthesisCode1
Lightweight Vision Transformer with Cross Feature Attention—0
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
Forming Trees with Treeformers—0
Learning Deep Time-index Models for Time Series ForecastingCode2
Pyramid Transformer for Traffic Sign Detection—0
LightViT: Towards Light-Weight Convolution-Free Vision TransformersCode1
Size and depth of monotone neural networks: interpolation and approximationCode0
Physics Informed Symbolic Networks—0
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in TransformerCode2
A law of adversarial risk, interpolation, and label noise—0
Pure Transformers are Powerful Graph LearnersCode1
Verifying the Union of Manifolds Hypothesis for Image DataCode1
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
Compressing Features for Learning with Noisy LabelsCode1
Prompting Decision Transformer for Few-Shot Policy Generalization—0
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge—0
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive BiasCode0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
Understanding convolution on graphs via energiesCode1
Polar Parametrization for Vision-based Surround-View 3D DetectionCode1
Generative Modelling With Inverse Heat DissipationCode1
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Learning Continuous Rotation Canonicalization with Radial Beam SamplingCode0
Global Context Vision TransformersCode2
SAViR-T: Spatially Attentive Visual Reasoning with TransformersCode0
Maximum Class Separation as Inductive Bias in One MatrixCode1
Architectural Backdoors in Neural NetworksCode1
Masked Siamese ConvNets—0
Forecasting of depth and ego-motion with transformers and self-supervision—0
On the Identifiability of Nonlinear ICA: Sparsity and Beyond—0
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning TasksCode1
K-Space Transformer for Undersampled MRI ReconstructionCode1
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
Intrinsic dimensionality and generalization properties of the R-norm inductive biasCode0
The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon—0
On Neural Architecture Inductive Biases for Relational TasksCode0
Spatial Entropy as an Inductive Bias for Vision TransformersCode0
BigVGAN: A Universal Neural Vocoder with Large-Scale TrainingCode3
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