| Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules | Oct 7, 2022 | DenoisingImage Generation | CodeCode Available | 1 |
| Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning | Jan 3, 2022 | 3D geometry3D Point Cloud Classification | CodeCode Available | 1 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 |
| Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces | Nov 1, 2021 | Bayesian OptimizationDrug Design | CodeCode Available | 1 |
| Interpretable statistical representations of neural population dynamics and geometry | Apr 6, 2023 | BenchmarkingDecision Making | CodeCode Available | 1 |
| A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication | Aug 10, 2021 | Inductive Bias | CodeCode Available | 1 |
| Convolutional Initialization for Data-Efficient Vision Transformers | Jan 23, 2024 | Inductive Bias | CodeCode Available | 1 |
| Are Sparse Autoencoders Useful? A Case Study in Sparse Probing | Feb 23, 2025 | Inductive BiasLarge Language Model | CodeCode Available | 1 |
| Iterative Superquadric Recomposition of 3D Objects from Multiple Views | Sep 5, 2023 | Inductive BiasObject | CodeCode Available | 1 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
| A Generalization of Transformer Networks to Graphs | Dec 17, 2020 | Graph RegressionInductive Bias | CodeCode Available | 1 |
| Latent Traversals in Generative Models as Potential Flows | Apr 25, 2023 | DisentanglementInductive Bias | CodeCode Available | 1 |
| Chunked Autoregressive GAN for Conditional Waveform Synthesis | Oct 19, 2021 | Inductive Bias | CodeCode Available | 1 |
| Directed Acyclic Graph Neural Networks | Jan 20, 2021 | Graph Neural NetworkGraph Property Prediction | CodeCode Available | 1 |
| Disentanglement via Latent Quantization | May 28, 2023 | DisentanglementInductive Bias | CodeCode Available | 1 |
| Learning Neural Hamiltonian Dynamics: A Methodological Overview | Feb 28, 2022 | Inductive Bias | CodeCode Available | 1 |
| CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion | Aug 2, 2023 | Image SegmentationInductive Bias | CodeCode Available | 1 |
| Learning the geometry of wave-based imaging | Jun 10, 2020 | Inductive BiasPosition | CodeCode Available | 1 |
| CoAtNet: Marrying Convolution and Attention for All Data Sizes | Jun 9, 2021 | AllImage Classification | CodeCode Available | 1 |
| Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data | Aug 1, 2021 | Code GenerationInductive Bias | CodeCode Available | 1 |
| Learning to Optimize for Reinforcement Learning | Feb 3, 2023 | Inductive BiasMeta-Learning | CodeCode Available | 1 |
| A Simple and Universal Rotation Equivariant Point-cloud Network | Mar 2, 2022 | Inductive Bias | CodeCode Available | 1 |
| CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation | Mar 4, 2021 | Image SegmentationInductive Bias | CodeCode Available | 1 |
| Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets | Jul 28, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
