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Inductive Bias

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Showing 1–50 of 1529 papers

TitleStatusHype
Sequencer: Deep LSTM for Image ClassificationCode5
Differentiable Tree Search NetworkCode5
Attention on the SphereCode4
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesisCode4
Brain-inspired Multilayer Perceptron with Spiking NeuronsCode4
When Does Perceptual Alignment Benefit Vision Representations?Code4
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time seriesCode3
BigVGAN: A Universal Neural Vocoder with Large-Scale TrainingCode3
U-DiTs: Downsample Tokens in U-Shaped Diffusion TransformersCode3
Unveiling Encoder-Free Vision-Language ModelsCode3
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone GenerationCode3
Neural Message Passing Induced by Energy-Constrained DiffusionCode3
Bird-Eye Transformers for Text Generation ModelsCode3
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware TransformersCode2
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical ImagesCode2
Video Swin TransformerCode2
Small-E: Small Language Model with Linear Attention for Efficient Speech SynthesisCode2
PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud RegistrationCode2
Time Series Diffusion in the Frequency DomainCode2
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and BeyondCode2
Model-Based Imitation Learning for Urban DrivingCode2
Mega: Moving Average Equipped Gated AttentionCode2
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive BiasesCode2
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted SegmentationCode2
Multi-Task Learning as Multi-Objective OptimizationCode2
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
XTrack: Multimodal Training Boosts RGB-X Video Object TrackersCode2
Train Short, Test Long: Attention with Linear Biases Enables Input Length ExtrapolationCode2
Learning General-Purpose Biomedical Volume Representations using Randomized SynthesisCode2
Masked Autoencoders As Spatiotemporal LearnersCode2
Neural Markov Random Field for Stereo MatchingCode2
Hidden Biases of End-to-End Driving ModelsCode2
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path PlanningCode2
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingCode2
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked AutoencodersCode2
HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image ClassificationCode2
Global Context Vision TransformersCode2
Gradformer: Graph Transformer with Exponential DecayCode2
Differentiable Convex Optimization LayersCode2
Is Attention All That NeRF Needs?Code2
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-ExpertsCode2
Longitudinal Segmentation of MS Lesions via Temporal Difference WeightingCode2
Discrete Event, Continuous Time RNNsCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image RegistrationCode2
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
Learning Deep Time-index Models for Time Series ForecastingCode2
NoisyRollout: Reinforcing Visual Reasoning with Data AugmentationCode2
Prototypical Networks for Few-shot LearningCode2
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in TransformerCode2
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