Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
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
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
AAAI 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation
CVPR 2024
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
AAAI 2024
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
AAAI 2024
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders
AAAI 2024
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
AAAI 2024
VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models
EMNLP 2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
ACL 2024
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
AAAI 2024
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding
AAAI 2024
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
EMNLP 2024
Bootstrapping Cognitive Agents with a Large Language Model
AAAI 2024
An Empirical Study of Multilingual Reasoning Distillation for Question Answering
EMNLP 2024
iKUN: Speak to Trackers without Retraining
CVPR 2024
Three Pillars Improving Vision Foundation Model Distillation for Lidar
CVPR 2024
Investigating Mysteries of CoT-Augmented Distillation
EMNLP 2024
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
ACL 2024
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
CVPR 2024
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
CVPR 2024
Holistic Features are almost Sufficient for Text-to-Video Retrieval
CVPR 2024
Distilling Vision-Language Models on Millions of Videos
CVPR 2024
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
EMNLP 2024
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding
ACL 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
NIPS 2024
<
1
…
12
13
14
…
32
>