"inductive bias" Papers
16 papers found
Conference
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
Evan Antoniuk, Shehtab Zaman, Tal Ben-Nun et al.
NEURIPS 2025arXiv:2505.01912
7
citations
Collapse-Proof Non-Contrastive Self-Supervised Learning
EMANUELE SANSONE, Tim Lebailly, Tinne Tuytelaars
ICML 2025arXiv:2410.04959
6
citations
Data Distributional Properties As Inductive Bias for Systematic Generalization
Felipe del Rio, Alain Raymond, Daniel Florea et al.
CVPR 2025arXiv:2502.20499
1
citations
Efficient stagewise pretraining via progressive subnetworks
Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu et al.
ICLR 2025arXiv:2402.05913
8
citations
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance
JiaKui Hu, Zhengjian Yao, Lujia Jin et al.
ICCV 2025arXiv:2506.18520
3
citations
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
Jiaming Ma, Binwu Wang, Qihe Huang et al.
NEURIPS 2025
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
Reza Ebrahimi, Roland Memisevic
NEURIPS 2025arXiv:2505.21749
1
citations
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou et al.
ICLR 2025arXiv:2403.06925
8
citations
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang, Byungkun Lee, Hojoon Lee et al.
ICML 2024arXiv:2406.06072
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi et al.
AAAI 2024paperarXiv:2312.10325
104
citations
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschläger, Niklas Kemper, Leon Hetzel et al.
ICML 2024arXiv:2406.08210
11
citations
Interpreting Equivariant Representations
Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen
ICML 2024arXiv:2401.12588
2
citations
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus, Georg Martius, Vit Musil
ICML 2024arXiv:2407.05920
4
citations
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov, Jake Fawkes, Samira Samadi et al.
ICML 2024arXiv:2405.06582
10
citations
Towards Understanding Inductive Bias in Transformers: A View From Infinity
Itay Lavie, Guy Gur-Ari, Zohar Ringel
ICML 2024arXiv:2402.05173
10
citations
Viewing Transformers Through the Lens of Long Convolutions Layers
Itamar Zimerman, Lior Wolf
ICML 2024