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knowledge distillation

3725 papers

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Also known as

KD

Co-occurring keywords

model compression (3302) large language model (13587) transfer learning (5449) domain adaptation (4595) representation learning (6206) neural network (6616) language model (4599) catastrophic forgetting (958) continual learning (1181) contrastive learning (4032)

Papers

Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation NIPS 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis NIPS 2024
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification CVPR 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation CVPR 2024
FairRAG: Fair Human Generation via Fair Retrieval Augmentation CVPR 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning CVPR 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024
One-step Diffusion with Distribution Matching Distillation CVPR 2024
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024
Towards Backward-Compatible Continual Learning of Image Compression CVPR 2024
Distilling ODE Solvers of Diffusion Models into Smaller Steps CVPR 2024
Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation CVPR 2024
Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP 2024
CapEEN: Image Captioning with Early Exits and Knowledge Distillation EMNLP 2024
TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling EMNLP 2024
Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings EMNLP 2024
Contrastive Learning to Improve Retrieval for Real-World Fact Checking EMNLP 2024
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition ACL 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements EMNLP 2024
CTYUN-AI@SMM4H-2024: Knowledge Extension Makes Expert Models ACL 2024
Incremental pre-training from smaller language models ACL 2024
Mentor-KD: Making Small Language Models Better Multi-step Reasoners EMNLP 2024