model distillation

EM Distillation for One-step Diffusion Models NeurIPS 2024 ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer ACL 2024 Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Incremental pre-training from smaller language models ACL 2024 Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024 Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework EMNLP 2024 Multistep Distillation of Diffusion Models via Moment Matching NeurIPS 2024 One-Step Diffusion Distillation through Score Implicit Matching NeurIPS 2024 Plug-and-Play Diffusion Distillation CVPR 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024 SinSR: Diffusion-Based Image Super-Resolution in a Single Step CVPR 2024 SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation CVPR 2024 The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators NeurIPS 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models NeurIPS 2024 A Closer Look at Self-Supervised Lightweight Vision Transformers ICML 2023 Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ACL 2023 Bayesian Federated Neural Matching That Completes Full Information AAAI 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 Consistency Models ICML 2023 DISCO: Distilling Counterfactuals with Large Language Models ACL 2023 Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers EACL 2023 MixFormerV2: Efficient Fully Transformer Tracking NeurIPS 2023