Dilin Wang

22

Papers

1,525

Total Citations

Papers (22)

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

NeurIPS 2016arXiv

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

AutoPartGen: Autoregressive 3D Part Generation and Discovery

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Fast Point Cloud Generation With Straight Flows

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Steepest Descent Density Control for Compact 3D Gaussian Splatting

UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping

3D Mesh Editing using Masked LRMs

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Stein Variational Gradient Descent as Moment Matching

Variational Inference with Tail-adaptive f-Divergence

Splitting Steepest Descent for Growing Neural Architectures

Stein Variational Gradient Descent With Matrix-Valued Kernels

Stein Variational Message Passing for Continuous Graphical Models

Improving Neural Language Modeling via Adversarial Training

Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models