knowledge distillation

Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement NAACL 2024 Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis NeurIPS 2024 iKUN: Speak to Trackers without Retraining CVPR 2024 Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval ICLR 2024 Image Understanding Makes for A Good Tokenizer for Image Generation NeurIPS 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection ACL 2024 Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification CVPR 2024 Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model NAACL 2024 Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths WACV 2024 Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation EMNLP 2024 Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation NeurIPS 2024 Improving Audio Codec-based Zero-Shot Text-to-Speech Synthesis with Multi-Modal Context and Large Language Model Interspeech 2024 Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge AAAI 2024 Improving Plasticity in Online Continual Learning via Collaborative Learning CVPR 2024 Improving Text Embeddings with Large Language Models ACL 2024 Improving the Training of Rectified Flows NeurIPS 2024 Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement CVPR 2024 Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024 Incremental pre-training from smaller language models ACL 2024 Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024 Induced Model Matching: Restricted Models Help Train Full-Featured Models NeurIPS 2024 INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024 InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries ACML 2024