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Inductive Bias

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TitleStatusHype
A Unified Framework for Trace-induced Quantum Kernels—0
AutoBERT-Zero: Evolving BERT Backbone from Scratch—0
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models—0
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs—0
Auto-regressive Image Synthesis with Integrated Quantization—0
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning—0
Bandwidth Enables Generalization in Quantum Kernel Models—0
Bayesian Comparisons Between Representations—0
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior—0
Bayesian Uncertainty Quantification for Anaerobic Digestion models—0
Benchmarking Active Learning Strategies for Materials Optimization and Discovery—0
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data—0
Benchmarking General-Purpose In-Context Learning—0
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias—0
Better-than-KL PAC-Bayes Bounds—0
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias—0
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness—0
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks—0
Beyond permutation equivariance in graph networks—0
Bias and population structure in the actuation of sound change—0
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models—0
Biological connectomes as a representation for the architecture of artificial neural networks—0
Blending LSTMs into CNNs—0
Block-Biased Mamba for Long-Range Sequence Processing—0
Block-Operations: Using Modular Routing to Improve Compositional Generalization—0
Blurring Diffusion Models—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions—0
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series—0
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models—0
Boosting Image Recognition with Non-differentiable Constraints—0
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance—0
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation—0
Brain insights improve RNNs' accuracy and robustness for hierarchical control of continually learned autonomous motor motifs—0
Towards Better Understanding of Disentangled Representations via Mutual Information—0
Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning—0
Building Hybrid B-Spline And Neural Network Operators—0
Bundle Neural Networks for message diffusion on graphs—0
Can Large Language Models Adapt to Other Agents In-Context?—0
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?—0
Can neural networks acquire a structural bias from raw linguistic data?—0
Can Neural Networks Understand Logical Entailment?—0
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction—0
Causal vs. Anticausal merging of predictors—0
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes—0
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder—0
Characterising the Inductive Biases of Neural Networks on Boolean Data—0
ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting—0
ChemKANs for Combustion Chemistry Modeling and Acceleration—0
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