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Methodology
← Learning Types
Deep Learning
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Learning Types
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Knowledge Distillation
790 directly classified papers
Papers per year
2014: 1
2016: 2
2017: 3
2018: 9
2019: 30
2020: 73
2021: 90
2022: 112
2023: 135
2024: 174
2025: 159
2026: 2
Papers
Teacher and Student Models of Offensive Language in Social Media
ACL 2023
RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
ACL 2023
Distilling Calibrated Knowledge for Stance Detection
ACL 2023
Distilling Reasoning Capabilities into Smaller Language Models
ACL 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
Distilling Efficient Language-Specific Models for Cross-Lingual Transfer
ACL 2023
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation
ACL 2023
Adaptive Contrastive Knowledge Distillation for BERT Compression
ACL 2023
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method
ACL 2023
Smart Word Suggestions for Writing Assistance
ACL 2023
Domain Generalization via Switch Knowledge Distillation for Robust Review Representation
ACL 2023
Better Language Models of Code through Self-Improvement
ACL 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
ACL 2023
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages
ACL 2023
D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization
EMNLP 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
EMNLP 2023
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection
NIPS 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
NIPS 2023
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
NIPS 2023
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
NIPS 2023
RD-Suite: A Benchmark for Ranking Distillation
NIPS 2023
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
NIPS 2023
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
NIPS 2023
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
NIPS 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
NIPS 2023
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