Knowledge Distillation
3,219 papers
Papers per year
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Papers
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
CVPR 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
CVPR 2024
Privileged Prior Information Distillation for Image Matting
AAAI 2024
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
NeurIPS 2024
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
AAAI 2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
ACL 2024
Prompting Large Language Models with Audio for General-Purpose Speech Summarization
Interspeech 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
EMNLP 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
CVPR 2024
Prophecy Distillation for Boosting Abstractive Summarization
COLING 2024
ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation
WACV 2024
PRVAE-VC2: Non-Parallel Voice Conversion by Distillation of Speech Representations
Interspeech 2024
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
ICLR 2024
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
ICLR 2024
QBB: Quantization with Binary Bases for LLMs
NeurIPS 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
NAACL 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
CVPR 2024
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
ICLR 2024
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems
EMNLP 2024
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
CVPR 2024
RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion
COLING 2024
RaD-Net 2: A causal two-stage repairing and denoising speech enhancement network with knowledge distillation and complex axial self-attention
Interspeech 2024
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
AAAI 2024