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Machine Learning
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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
AAAI 2025
DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models
ICCV 2025
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
ICCV 2025
Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation
ACL 2025
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
ICCV 2025
One-Shot Knowledge Transfer for Scalable Person Re-Identification
ICCV 2025
A Good Teacher Adapts Their Knowledge for Distillation
ICCV 2025
TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents
ACL 2025
GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
EMNLP 2025
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
AAAI 2025
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
ACL 2024
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
ACL 2024
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation
INTERSPEECH 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
ACL 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
ACL 2024
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation
ACL 2024
Prompting Large Language Models with Audio for General-Purpose Speech Summarization
INTERSPEECH 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
ACL 2024
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
ACL 2024
AS-ES Learning: Towards efficient CoT learning in small models
ACL 2024
Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language Models
INTERSPEECH 2024
Knowledge Distillation from Self-Supervised Representation Learning Model with Discrete Speech Units for Any-to-Any Streaming Voice Conversion
INTERSPEECH 2024
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
ACL 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
ACL 2024
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