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model compression

3302 papers

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MC

Co-occurring keywords

knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024
SlimSAM: 0.1% Data Makes Segment Anything Slim NIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild NIPS 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NIPS 2024
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model NIPS 2024
SnapKV: LLM Knows What You are Looking for Before Generation NIPS 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NIPS 2024
Binarized Diffusion Model for Image Super-Resolution NIPS 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics NIPS 2024
Multistep Distillation of Diffusion Models via Moment Matching NIPS 2024
BiDM: Pushing the Limit of Quantization for Diffusion Models NIPS 2024
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NIPS 2024
Exploring Token Pruning in Vision State Space Models NIPS 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NIPS 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization NIPS 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NIPS 2024
QTIP: Quantization with Trellises and Incoherence Processing NIPS 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NIPS 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NIPS 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024