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knowledge distillation

3725 papers

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Also known as

KD

Co-occurring keywords

model compression (3302) large language model (13587) transfer learning (5449) domain adaptation (4595) representation learning (6206) neural network (6616) language model (4599) catastrophic forgetting (958) continual learning (1181) contrastive learning (4032)

Papers

D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval CVPR 2024
Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training CVPR 2024
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation CVPR 2024
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement CVPR 2024
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection AAAI 2024
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection AAAI 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection AAAI 2024
Boosting Image Restoration via Priors from Pre-trained Models CVPR 2024
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning CVPR 2024
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation CVPR 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation CVPR 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies CVPR 2024
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining CVPR 2024
Boosting Residual Networks with Group Knowledge AAAI 2024
Teaching Tiny Minds: Exploring Methods to Enhance Knowledge Distillation for Small Language Models CONLL 2024
Understanding the Gains from Repeated Self-Distillation NIPS 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NIPS 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024
Fine-Tuning is Fine, if Calibrated NIPS 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery NIPS 2024
Offline Behavior Distillation NIPS 2024
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS NIPS 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NIPS 2024