Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Application Areas
Machine Learning
›
Application Areas
›
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
A Toolbox for Modelling Engagement with Educational Videos
AAAI 2024
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
AAAI 2024
Incremental pre-training from smaller language models
ACL 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation
ACL 2024
Privileged Prior Information Distillation for Image Matting
AAAI 2024
Small But Funny: A Feedback-Driven Approach to Humor Distillation
ACL 2024
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
ACL 2024
No Head Left Behind – Multi-Head Alignment Distillation for Transformers
AAAI 2024
Benchmarking Diffusion Models for Machine Translation
EACL 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach
AAAI 2024
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval
EMNLP 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
AAAI 2024
AIST AIRC Systems for the WMT 2024 Shared Tasks
EMNLP 2024
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
AAAI 2024
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
AAAI 2024
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
ACL 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization
COLING 2024
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
COLING 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
Minimal Distillation Schedule for Extreme Language Model Compression
EACL 2024
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
COLING 2024
Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models
COLING 2024
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts
COLING 2024
Shared-Adapters: A Novel Transformer-based Parameter Efficient Transfer Learning Approach For Children’s Automatic Speech Recognition
INTERSPEECH 2024
<
1
…
35
36
37
…
117
>