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inductive bia

336 papers

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representation learning (39) neural network (28) convolutional neural network (20) graph neural network (20) transfer learning (17) language model (16) large language model (16) vision transformer (15) transformer architecture (14) attention mechanism (12)

Papers

Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers CVPR 2026 CrystalDiT: Simple Diffusion Transformers for Crystal Generation AAAI 2026 Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis? EACL 2026 Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026 Exploiting Graph-Based Structural Priors for Visual Recognition AAAI 2026 Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ACL 2026 ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks ACL 2026 Learning Robust Medical Image Segmentation with Inductive Bias MIDL 2026 Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers EACL 2026 Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness ICLR 2025 Analyzing Generative Models by Manifold Entropic Metrics AISTATS 2025 An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels ICLR 2025 Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs ACL 2025 Are Sparse Autoencoders Useful? A Case Study in Sparse Probing ICML 2025 Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases ACL 2025 Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025 CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction CVPR 2025 Collapse-Proof Non-Contrastive Self-Supervised Learning ICML 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination ACL 2025 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025 Embeddings for Numerical Features Using tanh Activation ACL 2025 From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025 From Tokens to Lattices: Emergent Lattice Structures in Language Models ICLR 2025 GCG-Based Artificial Languages for Evaluating Inductive Biases of Neural Language Models CoNLL 2025