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Papers
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
AAAI 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
EMNLP 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models
EMNLP 2025
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
ICLR 2025
Treasures in Discarded Weights for LLM Quantization
AAAI 2025
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs
ACL 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
ICCV 2025
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
ICCV 2025
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
ICLR 2025
UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
Understanding and Improving Information Preservation in Prompt Compression for LLMs
EMNLP 2025
Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models
Interspeech 2025
Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models
EMNLP 2025
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
ACL 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models
NAACL 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2025
Value Residual Learning
ACL 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
ACL 2025
Variance-Based Pruning for Accelerating and Compressing Trained Networks
ICCV 2025
VeriFastScore: Speeding up long-form factuality evaluation
EMNLP 2025
Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation
EMNLP 2025
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
ICCV 2025