효율적 미세조정

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

1. KU·머신러닝

   Anh TongStochastic Dynamics and Machine Learning Lab

   관련 논문 3편비중 33%연구 분야에 명시
   • 2026LoCO: Low-rank Compositional Rotation Fine-tuning IJCAI
   • 2026PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning NeurIPS
   • 2025Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning ICLR
2. SNU·AI 시스템

   김재준VLSI Lab

   관련 논문 4편비중 8%
   • 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents ICML
   • 2026PRESTE: Preserving Tiny Exponent Precision for Efficient Sub-8-bit LLM Inference and Fine-Tuning ICCAD
   • 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models ICLR
3. KAIST·컴퓨터 비전

   주재걸DAVIAN Lab

   관련 논문 5편비중 4%
   • 2026CA-LoRA: Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation CVPR
   • 2026Memory-Efficient Fine-Tuning Diffusion Transformer via Dynamic Patch Sampling and Block Skipping CVPR
   • 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
4. SNU·AI 시스템

   전동석MMS Lab

   관련 논문 4편비중 12%
   • 2026TokenDrop: Token-Level Importance-Aware Backward Propagation Skipping for Efficient LLM Fine-Tuning ICML
   • 2026ROM-LTE: A 28nm 16.1TOPS/W ROM-Based LUT Tensor Engine with Complementary ROM and Switching-Suppressed Latch-Based PE for Fine-Tuning-Free ML Inference CICC
   • 2025PaCA: Partial Connection Adaptation for Efficient Fine-Tuning ICLR
5. KU·자연어처리·LLM

   이상근Data Intelligence Lab

   관련 논문 6편비중 17%
   • 2025Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL
   • 2025Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL
   • 2024Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning ACL
6. Yonsei·머신러닝

   한동준Edge AI Lab

   관련 논문 3편비중 7%
   • 2026Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs ICML
   • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI
   • 2026Rethinking LLM Fine-Tuning via Weight Space Reparameterization: Preserving Safety during Downstream Adaptation NeurIPS
7. SNU·컴퓨터 비전

   이준석VIP Lab

   관련 논문 3편비중 5%
   • 2026Efficient Adjoint Matching for Fine-tuning Diffusion Models NeurIPS
   • 2026QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning ICML
   • 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
8. KAIST·컴퓨터 비전

   윤국진VI Lab

   관련 논문 3편비중 3%
   • 2026Label-Free Cross-Task LoRA Merging with Null-Space Compression CVPR
   • 2026Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy CVPR
   • 2026SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction NeurIPS
9. KAIST·머신러닝

   신진우ALIN Lab

   관련 논문 5편비중 4%
   • 2025DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI
   • 2025StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment IJCAI
   • 2024Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness TMLR
10. KAIST·머신러닝

    이기민

    관련 논문 4편비중 9%
    • 2026Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation AAAI
    • 2025DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI
    • 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR
11. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련 논문 3편비중 8%
    • 2026Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning EMNLP
    • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models ICML
    • 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning ICML
12. KAIST·머신러닝

    윤세영OSI Lab

    관련 논문 5편비중 3%
    • 2025Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA ICLR
    • 2024Fine-tuning Pre-trained Models for Robustness Under Noisy Labels IJCAI
    • 2024Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL
13. SNU·머신러닝

    문태섭M.IN.D Lab

    관련 논문 3편비중 7%
    • 2026Axis-LoRA: Probing and Adapting Embedding Models for Personal-Memory Retrieval EMNLP
    • 2025DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning ACL
    • 2025Physics-Informed Fine-Tuning for Physics Discovery from Random and Sparse Data Engineering Applications of Artificial Intelligence
14. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련 논문 4편비중 6%
    • 2026Parameter-Efficient Fine-Tuning via Meta-Regularizer IJCV
    • 2025DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO NeurIPS
    • 2023Distribution-Aware Prompt Tuning for Vision-Language Models ICCV
15. KAIST·머신러닝

    이주호SIML Lab

    관련 논문 4편비중 5%
    • 2025FedSVD: adaptive orthogonalization for private federated learning with LoRA NeurIPS
    • 2025StarFT: robust fine-tuning of zero-shot models via spuriosity alignment IJCAI
    • 2024Lipsum-FT: robust fine-tuning of zero-shot models using random text guidance ICLR
16. SNU·머신러닝

    윤성로AI Lab

    관련 논문 5편비중 5%
    • 2025VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance ICASSP
    • 2024VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech INTERSPEECH
    • 2024Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models EACL
17. Yonsei·머신러닝

    송경우MLAI Lab

    관련 논문 4편비중 5%
    • 2026P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models ICRA
    • 2024Towards Calibrated Robust Fine-Tuning of Vision-Language Models NeurIPS
    • 2024TC-Llama 2: Fine-tuning LLM for Technology and Commercialization Applications Journal of Big Data
18. KU·머신러닝

    이병준Decision Making Lab

    관련 논문 2편비중 6%
    • 2026SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger ACL
    • 2026uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data AAAI
19. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련 논문 3편비중 4%
    • 2026IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation ICLR
    • 2024StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP
    • 2024Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning WACV
20. KAIST·데이터 마이닝

    박찬영DSAIL

    관련 논문 2편비중 2%
    • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering WWW
    • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models ICML
21. KU·컴퓨터 비전

    김동현UTL Lab

    관련 논문 3편비중 7%
    • 2025Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV
    • 2025LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning ICCV
    • 2024Efficient and Versatile Robust Fine-Tuning of Zero-shot Models ECCV
22. KU·머신러닝

    정종헌TAIL

    관련 논문 3편비중 13%
    • 2025StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment IJCAI
    • 2024Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness TMLR
    • 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR
23. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련 논문 2편비중 8%
    • 2026SeedFlood: A Step Toward Scalable Decentralized Fine-Tuning of LLMs NeurIPS
    • 2025ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models ICLR
24. KAIST·머신러닝

    박진규System Intelligence Lab

    관련 논문 2편비중 4%
    • 2026Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function ICLR
    • 2025Human Implicit Preference-Based Policy Fine-Tuning for Multi-Agent Reinforcement Learning in USV Swarm IROS
25. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련 논문 2편비중 4%
    • 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA ICLR
    • 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
26. SNU·자연어처리·LLM

    황승원LDI Lab

    관련 논문 2편비중 3%
    • 2026LoRA-RG: Residual Gradient-Guided Rank Initialization and Expansion EMNLP
    • 2025PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets NAACL
27. POSTECH·컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련 논문 3편비중 3%
    • 2025Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV
    • 2024Efficient and Versatile Robust Fine-Tuning of Zero-shot Models ECCV
    • 2024NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image ECCV
28. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 2편비중 2%
    • 2026ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets CVPR
    • 2025GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning NeurIPS
29. Yonsei·머신러닝

    손지용ITML Lab

    관련 논문 2편비중 8%
    • 2026Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models ICML
    • 2024Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks UAI
30. SNU·머신러닝

    이정우CML Lab

    관련 논문 2편비중 4%
    • 2026Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention Perspective EMNLP
    • 2024Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability AAAI
31. Yonsei·머신러닝

    권태경AI Security Lab

    관련 논문 2편비중 9%
    • 2025Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships IEEE TIFS
    • 2025LeakGuard: Detecting and Mitigating Attribute Leakage in Fine-Tuned Diffusion Models WISA
32. KU·AI for Science

    석흥일Machine Intelligence Lab

    관련 논문 2편비중 4%
    • 2025Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing CIKM
    • 2025Parameter-Efficient Fine-Tuning Adapts EEG Foundation Models to Downstream Tasks Effectively OHBM
33. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련 논문 2편비중 2%
    • 2025AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis ICCV
    • 2025Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters WACV
34. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련 논문 2편비중 4%
    • 20253D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation EMNLP Findings
    • 2024Memory-Efficient Fine-Tuning for Quantized Diffusion Model ECCV
35. KAIST·머신러닝

    최재식SAIL Lab

    관련 논문 2편비중 4%
    • 2025Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning ICLR
    • 2024LoCo: Low-rank Compositional Rotation Fine-tuning IJCAI
36. KAIST·머신러닝

    황성주MLAI Lab

    관련 논문 2편비중 2%
    • 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA NeurIPS
    • 2024ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR
37. SNU·자연어처리·LLM

    이상구IDS Lab

    관련 논문 2편비중 13%
    • 2025Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation IEEE Access
    • 2023Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning *SEM
38. KU·컴퓨터 비전

    박경문VGI Lab

    관련 논문 2편비중 4%
    • 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability CVPR
    • 2023Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning ICCV
39. SNU·데이터 마이닝

    강유Data Mining Lab

    관련 논문 2편비중 3%
    • 2025SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning ICLR
    • 2023PET: Parameter-efficient Knowledge Distillation on Transformer PLOS ONE
40. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련 논문 2편비중 2%
    • 2025Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation ACL
    • 2023DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing DSTC11 Workshop at SIGDIAL
41. SNU·데이터 마이닝

    장준기

    관련 논문 1편비중 7%
    • 2026DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse Tensor Factorization KDD
42. KAIST·머신러닝

    문재균

    관련 논문 1편비중 5%
    • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI
43. Yonsei·컴퓨터 비전

    박은병V-Lab

    관련 논문 2편비중 5%
    • 2024Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning Neural Networks
    • 2024Parameter-Efficient Instance-Adaptive Neural Video Compression ACCV
44. Yonsei·머신러닝

    이기복Machine Learning Lab

    관련 논문 1편비중 5%
    • 2026Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR
45. SNU·데이터 마이닝

    유재민Data AI Lab

    관련 논문 1편비중 4%
    • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering WWW
46. SNU·머신러닝

    김태섭LAAL Lab

    관련 논문 1편비중 3%
    • 2026PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection ICLR
47. KAIST·머신러닝

    안성진MLML

    관련 논문 1편비중 3%
    • 2026Understanding LoRA as Knowledge Memory ICML
48. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련 논문 1편비중 3%
    • 2026HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning NeurIPS
49. SNU·컴퓨터 비전

    박재식Visual & Geometric Intelligence Lab

    관련 논문 1편비중 2%
    • 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild ICLR
50. SNU·AI for Science

    이동헌BiLab

    관련 논문 1편비중 2%
    • 2026Prediction of Left Ventricular Systolic Dysfunction in Left Bundle Branch Block using a Fine-Tuned ECG Foundation Model Scientific Reports
51. SNU·컴퓨터 비전

    최종현MPR Lab

    관련 논문 1편비중 2%
    • 2026Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients ICLR
52. KAIST·컴퓨터 비전

    성민혁Visual AI Group

    관련 논문 1편비중 2%
    • 2026Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models WACV
53. KAIST·머신러닝

    오성준STAI Lab

    관련 논문 1편비중 2%
    • 2026Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models ACL
54. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련 논문 1편비중 2%
    • 2026MA-CNAPS: Parameter-Efficient Multi-Agent Reinforcement Learning for Self-Reflective Routing and Grounded Model Selection in Modular AI Platforms Knowledge and Information Systems
55. SNU·컴퓨터 비전

    전세영ICL

    관련 논문 1편비중 1%
    • 2026HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding ECCV
56. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련 논문 1편비중 1%
    • 2026Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation WWW
57. KAIST·AI for Science

    예종철BISPL

    관련 논문 1편비중 1%
    • 2026Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models NeurIPS
58. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련 논문 1편비중 1%
    • 2026A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search ICML
59. KAIST·머신러닝

    김기응AIPR Lab

    관련 논문 2편비중 7%
    • 2024Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL
    • 2023Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP Findings
60. KAIST·머신러닝

    양은호MLI Lab

    관련 논문 2편비중 3%
    • 2024PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning EMNLP Findings
    • 2023PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label ICCV
61. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련 논문 1편비중 6%
    • 2025DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING
62. SNU·AI 시스템

    이진호AISys Lab

    관련 논문 1편비중 3%
    • 2025FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic NeurIPS
63. KAIST·자연어처리·LLM

    서민준LK Lab

    관련 논문 2편비중 3%
    • 2023The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning EMNLP
    • 2023Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning ACL Findings
64. POSTECH·머신러닝

    이재호EffL Lab

    관련 논문 1편비중 3%
    • 2025ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models ICLR
65. Yonsei·컴퓨터 비전

    전해곤Visual AI Lab

    관련 논문 1편비중 2%
    • 2025Test-Time Prompt Tuning for Zero-Shot Depth Completion ICCV
66. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 1편비중 1%
    • 2025Style Composition within Distinct LoRA modules for Traditional Art ICCV
67. SNU·컴퓨터 비전

    조남익ISPL

    관련 논문 1편비중 2%
    • 2025State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models ACL
68. KAIST·컴퓨터 비전

    노용만IVY Lab

    관련 논문 1편비중 1%
    • 2025Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition TPAMI
69. KAIST·데이터 마이닝

    박노성BigDyL

    관련 논문 1편비중 1%
    • 2025DARS : Robust Sparse Fine-tuning with Regularized Subspace Disalignment ICLR
70. Yonsei·자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 1편비중 2%
    • 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
71. Yonsei·자연어처리·LLM

    이동하DLI Lab

    관련 논문 1편비중 2%
    • 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning NeurIPS
72. Yonsei·머신러닝

    권도현PDE & AI Lab

    관련 논문 1편비중 7%
    • 2024Memorization Capacity for Additive Fine-Tuning with Small ReLu Networks UAI
73. SNU·머신러닝

    이원종DRL Lab

    관련 논문 1편비중 4%
    • 2024Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis IEEE Access
74. KAIST·데이터 마이닝

    황의종Data Intelligence Lab

    관련 논문 1편비중 4%
    • 2024LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML
75. SNU·자연어처리·LLM

    유영재PI Lab

    관련 논문 1편비중 1%
    • 2024Navigating Text-To-Image Customization:From LyCORIS Fine-Tuning to Model Evaluation ICLR
76. SNU·머신러닝

    홍영준MLSC Lab

    관련 논문 1편비중 3%
    • 2024Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning Neural Networks
77. KAIST·AI for Science

    최윤재

    관련 논문 1편비중 2%
    • 2024Significantly Improving Zero-shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders Scientific Reports
78. Yonsei·머신러닝

    노승문AI-ISL

    관련 논문 1편비중 3%
    • 2024Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model TMLR
79. Yonsei·데이터 마이닝

    장백철ANDLab

    관련 논문 1편비중 3%
    • 2024Enhancing machine-generated text detection: Adversarial fine-tuning of pre-trained language models IEEE Access
80. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련 논문 1편비중 2%
    • 2024Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction MICCAI
81. SNU·AI for Science

    백민경Laboratory of Computational Structural and Systems Biology

    관련 논문 1편비중 7%
    • 2023Peptide-binding specificity prediction using fine-tuned protein structure prediction networks PNAS
82. SNU·자연어처리·LLM

    이재윤SKI-ML Lab

    관련 논문 1편비중 4%
    • 2023Parameter-Efficient fine-tuning of InstructBLIP for Visual Reasoning Tasks NeurIPS
83. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련 논문 1편비중 2%
    • 2023Topological RANSAC for instance verification and retrieval without fine-tuning NeurIPS
84. KU·자연어처리·LLM

    임희석NLP&AI Lab

    관련 논문 1편비중 1%
    • 2023Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection IJCNLP-AACL