Model Compression
1,736 papers
Papers per year
2
2
2
6
3
4
6
15
39
65
130
195
195
206
392
459
15
'10
'15
'20
'25
Papers
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
EMNLP 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
EMNLP 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
EMNLP 2023
Break It Down: Evidence for Structural Compositionality in Neural Networks
NeurIPS 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models
ACL 2023
BT^2: Backward-compatible Training with Basis Transformation
ICCV 2023
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models
EMNLP 2023
Can We Find Strong Lottery Tickets in Generative Models?
AAAI 2023
Class Attention Transfer Based Knowledge Distillation
CVPR 2023
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
ICML 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
AAAI 2023
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression
CVPR 2023
Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small
WACV 2023
Compressing Transformers: Features Are Low-Rank, but Weights Are Not!
AAAI 2023
Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters
Interspeech 2023
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
EMNLP 2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
ACL 2023
Cost-effective Distillation of Large Language Models
ACL 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
EMNLP 2023
CP3: Channel Pruning Plug-In for Point-Based Networks
CVPR 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
AAAI 2023
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
ICCV 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization
EMNLP 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
CVPR 2023