Knowledge Distillation
3,219 papers
Papers per year
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Papers
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
ICLR 2024
Toward Student-oriented Teacher Network Training for Knowledge Distillation
ICLR 2024
ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
NAACL 2024
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition
ACL 2024
Training a Better Chinese Spelling Correction Model via Prior-knowledge Guided Teacher
ACL 2024
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
NeurIPS 2024
TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling
EMNLP 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
NeurIPS 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NeurIPS 2024
Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models
AAAI 2024
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
NAACL 2024
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever
ACL 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
EMNLP 2024
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
AAAI 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
NeurIPS 2024
UDON: Universal Dynamic Online distillatioN for generic image representations
NeurIPS 2024
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle
NAACL 2024
Uncertainty-Guided Never-Ending Learning to Drive
CVPR 2024
Understanding the Gains from Repeated Self-Distillation
NeurIPS 2024
Understanding the Role of the Projector in Knowledge Distillation
AAAI 2024
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
ICLR 2024
UniADS: Universal Architecture-Distiller Search for Distillation Gap
AAAI 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
NeurIPS 2024
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
CVPR 2024