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Inductive Bias

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TitleStatusHype
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
Improved machine learning algorithm for predicting ground state properties—0
Improving Equivariant Networks with Probabilistic Symmetry Breaking—0
Beyond permutation equivariance in graph networks—0
Learning Physical Dynamics with Subequivariant Graph Neural Networks—0
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors—0
Impact of Label Noise on Learning Complex Features—0
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning—0
Learning Object Focused Attention—0
Differentiable programming across the PDE and Machine Learning barrier—0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation—0
Differentiable Robust LQR Layers—0
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Consequences of Slow Neural Dynamics for Incremental Learning—0
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective—0
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement—0
Learning threshold neurons via the "edge of stability"—0
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data—0
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups—0
Directed Acyclic Graph Convolutional Networks—0
Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment—0
ImageNet suffers from dichotomous data difficulty—0
Demystifying Inductive Biases for β-VAE Based Architectures—0
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Discovering Abstract Symbolic Relations by Learning Unitary Group Representations—0
Ignorance is Bliss: Robust Control via Information Gating—0
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness—0
Learning Language Representations with Logical Inductive Bias—0
IDInit: A Universal and Stable Initialization Method for Neural Network Training—0
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias—0
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence—0
Interleaving Text and Number Embeddings to Solve Mathemathics Problems—0
Interpolated-MLPs: Controllable Inductive Bias—0
Delay Embedding Theory of Neural Sequence Models—0
Identifying Collaborative Conversations using Latent Discourse Behaviors—0
Interpretable Convolutional Filters with SincNet—0
Interpretable Predictive Models for Healthcare via Rational Logistic Regression—0
Identifiable Representation and Model Learning for Latent Dynamic Systems—0
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias—0
Addressing Issues with Working Memory in Video Object Segmentation—0
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers—0
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets—0
Interpreting Equivariant Representations—0
Icy: A benchmark for measuring compositional inductive bias of emergent communication models—0
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs—0
3D-Consistent Image Inpainting with Diffusion Models—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
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