model compression

3283 papers

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MC

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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

NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations AAAI 2026

Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices AAAI 2026

TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models AAAI 2026

InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge 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

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models EACL 2026

Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer EACL 2026

Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026

KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference EACL 2026

Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale EACL 2026

DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation EACL 2026

AfriNLLB: Efficient Translation Models for African Languages EACL 2026

ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026