Deep Learning

Implicit regularization of deep residual networks towards neural ODEs ICLR 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Implicit Regularization Paths of Weighted Neural Representations NeurIPS 2024 Implicit Representations via Operator Learning ICML 2024 Implicit Steganography Beyond the Constraints of Modality ECCV 2024 Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes NeurIPS 2024 Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024 IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation CVPR 2024 Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling ICLR 2024 Improve Dense Passage Retrieval with Entailment Tuning EMNLP 2024 Improved Generalization of Weight Space Networks via Augmentations ICML 2024 Improved Implicit Neural Representation with Fourier Reparameterized Training CVPR 2024 Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding AAAI 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Improved Operator Learning by Orthogonal Attention ICML 2024 Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification COLING 2024 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024 Improved Random Features for Dot Product Kernels JMLR 2024 Improved Sample Complexity Bounds for Diffusion Model Training NeurIPS 2024 Improved sampling via learned diffusions ICLR 2024 Improved Self-Training for Test-Time Adaptation CVPR 2024 Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths WACV 2024 Improved Techniques for Training Consistency Models ICLR 2024 Improved Visual Grounding through Self-Consistent Explanations CVPR 2024