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Methodology
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Machine Learning
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Knowledge Distillation
503 directly classified papers
Papers per year
2017: 3
2018: 7
2019: 12
2020: 26
2021: 54
2022: 72
2023: 81
2024: 118
2025: 129
2026: 1
Papers
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
NIPS 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NIPS 2024
Sparse High Rank Adapters
NIPS 2024
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization
IJCAI 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
NIPS 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
NIPS 2024
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
AAAI 2024
Fine-Grained Distillation for Long Document Retrieval
AAAI 2024
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
AAAI 2024
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
NIPS 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
AAAI 2024
DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models
ACL 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
CVPR 2024
Building Vision-Language Models on Solid Foundations with Masked Distillation
CVPR 2024
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
AAAI 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 2024
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
CVPR 2024
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
CVPR 2024
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
CVPR 2024
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning
WACV 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
D^4: Dataset Distillation via Disentangled Diffusion Model
CVPR 2024
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
CVPR 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation
ACL 2024
Plug-and-Play Diffusion Distillation
CVPR 2024
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