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Inductive Bias

Papers

Showing 101150 of 1529 papers

TitleStatusHype
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs0
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks0
Kronecker Mask and Interpretive Prompts are Language-Action Video LearnersCode0
Is In-Context Universality Enough? MLPs are Also Universal In-Context0
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationCode1
Estimating the Probability of Sampling a Trained Neural Network at Random0
On the inductive bias of infinite-depth ResNets and the bottleneck rank0
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction0
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness0
Application of Structured State Space Models to High energy physics with locality-sensitive hashing0
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression0
Causal vs. Anticausal merging of predictors0
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction0
Symmetry and Generalisation in Machine Learning0
Data Distributional Properties As Inductive Bias for Systematic Generalization0
Weakly Supervised Semantic Segmentation via Progressive Confidence Region ExpansionCode0
Perceptual Inductive Bias Is What You Need Before Contrastive Learning0
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning0
Can Large Language Models Adapt to Other Agents In-Context?0
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba0
Temporally Consistent Object-Centric Learning by Contrasting Slots0
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration0
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Are the Latent Representations of Foundation Models for Pathology Invariant to Rotation?Code0
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models0
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks0
3D-Consistent Image Inpainting with Diffusion Models0
Learning Symmetries via Weight-Sharing with Doubly Stochastic TensorsCode0
Towards Zero-shot 3D Anomaly Localization0
Training MLPs on Graphs without SupervisionCode1
GQWformer: A Quantum-based Transformer for Graph Representation Learning0
RandAR: Decoder-only Autoregressive Visual Generation in Random Orders0
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis0
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection0
Trajectory Attention for Fine-grained Video Motion Control0
Sneaking Syntax into Transformer Language Models with Tree Regularization0
Double Descent in Portfolio Optimization: Dance between Theoretical Sharpe Ratio and Estimation Accuracy0
Object-centric proto-symbolic behavioural reasoning from pixelsCode0
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction0
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation0
Faithful Label-free Knowledge DistillationCode0
On Generalization Bounds for Neural Networks with Low Rank Layers0
STREAM: A Universal State-Space Model for Sparse Geometric Data0
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling0
Partitioning Message Passing for Graph Fraud Detection0
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data0
Bayesian Comparisons Between Representations0
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking0
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation0
Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs0
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