model compression

Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 Scaled Decoupled Distillation CVPR 2024 ScaleKD: Strong Vision Transformers Could Be Excellent Teachers NeurIPS 2024 SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NeurIPS 2024 SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation CVPR 2024 Search for Efficient Large Language Models NeurIPS 2024 Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NeurIPS 2024 Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024 Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation IJCAI 2024 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NeurIPS 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024 ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models EMNLP 2024 ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024 Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ICLR 2024 Shears: Unstructured Sparsity with Neural Low-rank Adapter Search NAACL 2024 ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization NeurIPS 2024 SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design CVPR 2024 Simple and Fast Distillation of Diffusion Models NeurIPS 2024 Sinkhorn Distance Minimization for Knowledge Distillation COLING 2024 SinSR: Diffusion-Based Image Super-Resolution in a Single Step CVPR 2024 SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NeurIPS 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024 Slicing Vision Transformer for Flexible Inference NeurIPS 2024 SlimGPT: Layer-wise Structured Pruning for Large Language Models NeurIPS 2024