Zhijie Deng

20

Papers

45

Total Citations

Papers (20)

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation

Bayesian Exploration of Pre-trained Models for Low-shot Image Classification

CLLMs: Consistency Large Language Models

Online Speculative Decoding

Improved Operator Learning by Orthogonal Attention

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN

LiBRe: A Practical Bayesian Approach to Adversarial Detection

Black-Box Detection of Backdoor Attacks With Limited Information and Data

Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning

Adversarial Distributional Training for Robust Deep Learning

NeurIPS 2020arXiv

Understanding and Exploring the Network with Stochastic Architectures

Accelerated Linearized Laplace Approximation for Bayesian Deep Learning

NeurIPS 2022arXiv

Confidence-based Reliable Learning under Dual Noises

NeurIPS 2022arXiv

Towards Accelerated Model Training via Bayesian Data Selection

NeurIPS 2023arXiv

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

NeurIPS 2023arXiv

On Calibrating Diffusion Probabilistic Models

NeurIPS 2023arXiv