Eunho Yang

36

Papers

102

Total Citations

Papers (36)

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning

Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy

Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation

Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing

Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation

REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring

Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing

Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss

PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label

PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency

Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

Closed-form Estimators for High-dimensional Generalized Linear Models

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

Deep Asymmetric Multi-task Feature Learning

Spectral Approximate Inference

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

DropMax: Adaptive Variational Softmax

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding

Attribution Preservation in Network Compression for Reliable Network Interpretation

Bootstrapping neural processes

Neural Complexity Measures

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning

Time-Reversal Symmetric ODE Network

Adaptive Proximal Gradient Methods for Structured Neural Networks

Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning

GEX: A flexible method for approximating influence via Geometric Ensemble

Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds

Asymmetric Multi-task Learning Based on Task Relatedness and Loss

Ordinal Graphical Models: A Tale of Two Approaches

Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity