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Model Compression

1928 directly classified papers

Papers per year

Papers

SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution WACV 2023
A Neural Video Codec With Spatial Rate-Distortion Control WACV 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023
NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models EMNLP 2023
On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023
Aambela at BLP-2023 Task 2: Enhancing BanglaBERT Performance for Bangla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation EMNLP 2023
GPT4All: An Ecosystem of Open Source Compressed Language Models EMNLP 2023
Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity EMNLP 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models NIPS 2023
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference NIPS 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework NIPS 2023
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NIPS 2023
Robust low-rank training via approximate orthonormal constraints NIPS 2023
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs NIPS 2023
Module-wise Adaptive Distillation for Multimodality Foundation Models NIPS 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
Parameter Efficient Local Implicit Image Function Network for Face Segmentation CVPR 2023
Adaptive Data-Free Quantization CVPR 2023
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023
The case for 4-bit precision: k-bit Inference Scaling Laws ICML 2023
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023