conftrace_

parameter efficiency

417 papers

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model compression (3302) transfer learning (5449) convolutional neural network (4226) large language model (13587) mixture of expert (640) knowledge distillation (3725) neural network (6616) language model (4599) neural network optimization (1293) efficient computing (781)

Papers

Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding IJCAI 2025
LoRA Unlearns More and Retains More (Student Abstract) AAAI 2025
HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders NAACL 2025
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract) AAAI 2025
Quantum-Enhanced Gated Recurrent Units for Part-of-Speech Tagging IJCNLP 2025
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers WACV 2025
A Closer Look into Mixture-of-Experts in Large Language Models NAACL 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025
Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks CVPR 2025
Power doesn’t reside in size: A Low Parameter Hybrid Language Model (HLM) for Sentiment Analysis in Code-mixed data EMNLP 2025
GroupMamba: Efficient Group-Based Visual State Space Model CVPR 2025
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer AAAI 2025
Treasures in Discarded Weights for LLM Quantization AAAI 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA ACL 2025
Low-Hallucination and Efficient Coreference Resolution with LLMs EMNLP 2025
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025
CoA: Towards Real Image Dehazing via Compression-and-Adaptation CVPR 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
Archaeology at TSAR 2025 Shared Task Teaching Small Models to do CEFR Simplifications EMNLP 2025
Value Residual Learning ACL 2025
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting AAAI 2025
LETS-C: Leveraging Text Embedding for Time Series Classification ACL 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025