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Inductive Bias

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Showing 551–600 of 1529 papers

TitleStatusHype
Inductive Bias for Emergent Communication in a Continuous Setting—0
Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias—0
Learning to Substitute Spans towards Improving Compositional GeneralizationCode0
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingCode2
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks—0
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesisCode4
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive BiasesCode0
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free TrainabilityCode1
Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning—0
Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior—0
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning—0
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias—0
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) RepresentationsCode0
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders—0
Physics-Informed Computer Vision: A Review and Perspectives—0
Disentanglement via Latent QuantizationCode1
A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature ForecastingCode0
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-ConcatenationCode0
LowDINO -- A Low Parameter Self Supervised Learning ModelCode1
Graph Inductive Biases in Transformers without Message PassingCode1
Compositional Generalization without Trees using Multiset Tagging and Latent PermutationsCode0
Manifold Regularization for Memory-Efficient Training of Deep Neural Networks—0
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer—0
End-to-End Meta-Bayesian Optimisation with Transformer Neural ProcessesCode0
Offline Reinforcement Learning with Additional Covering Distributions—0
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
Inventing art styles with no artistic training dataCode0
Emergent Representations of Program Semantics in Language Models Trained on ProgramsCode1
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks—0
Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences—0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
Semantic Composition in Visually Grounded Language Models—0
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation—0
DRew: Dynamically Rewired Message Passing with DelayCode1
Selective imitation on the basis of reward function similarity—0
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure—0
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine ApproachCode1
Interpretable Sentence Representation with Variational Autoencoders and Attention—0
Approximating CKY with TransformersCode0
Summarizing Multiple Documents with Conversational Structure for Meta-Review GenerationCode1
Model-agnostic Measure of Generalization DifficultyCode0
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
Vision Conformer: Incorporating Convolutions into Vision Transformer LayersCode0
The Roles of Symbols in Neural-based AI: They are Not What You Think!—0
Injecting structural hints: Using language models to study inductive biases in language learningCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Latent Traversals in Generative Models as Potential FlowsCode1
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes—0
Sample-efficient Model-based Reinforcement Learning for Quantum ControlCode1
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