Co-occurring keywords · papers mentioning both
Papers
LLM-Pruner: On the Structural Pruning of Large Language Models
NeurIPS 2023
Local 3D Editing via 3D Distillation of CLIP Knowledge
CVPR 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
NeurIPS 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
ICCV 2023
Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties
UAI 2023
Long-Tailed Question Answering in an Open World
ACL 2023
Low-Confidence Samples Mining for Semi-supervised Object Detection
IJCAI 2023
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
ICLR 2023
Margin-based Neural Network Watermarking
ICML 2023
MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation
AAAI 2023
Masked Autoencoders Are Stronger Knowledge Distillers
ICCV 2023
Masked Autoencoders Enable Efficient Knowledge Distillers
CVPR 2023
Masked Distillation with Receptive Tokens
ICLR 2023
Masked Images Are Counterfactual Samples for Robust Fine-Tuning
CVPR 2023
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
CVPR 2023
MCC-KD: Multi-CoT Consistent Knowledge Distillation
EMNLP 2023
mCLIP: Multilingual CLIP via Cross-lingual Transfer
ACL 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
ICCV 2023
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
ICCV 2023
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition
AAAI 2023
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
ICLR 2023
Metis: Understanding and Enhancing In-Network Regular Expressions
NeurIPS 2023
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract)
AAAI 2023
MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices
ICCV 2023