model compression

3283 papers

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Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026

MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models AAAI 2026

SepPrune: Structured Pruning for Efficient Deep Speech Separation AAAI 2026

LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models AAAI 2026

D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning AAAI 2026

Efficient Multimodal Large Language Model via Dynamic KV Cache Quantization AAAI 2026

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026

LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention AAAI 2026

CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints AAAI 2026

Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters WACV 2026

Subspace-Guided Knowledge Distillation for Efficient Model Transfer WACV 2026

Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026

CLoCKDistill: Consistent Location and Context aware Knowledge Distillation for DETRs WACV 2026

One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026

CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation WACV 2026

Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships WACV 2026

1LoRA: Summation Compression for Very Low-Rank Adaptation WACV 2026

Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026

Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026

Ultra-Low-Dimensional Prompt Tuning via Random Projection EACL 2026

Specialization through Collaboration: Understanding Expert Interaction in Mixture-of-Expert Large Language Models EACL 2026

Efficient Plug-and-Play Weight Refinement for Sparse Large Models AAAI 2026