주제로 연구실 찾기

1. KU·머신러닝

   Anh TongStochastic Dynamics and Machine Learning Lab

   관련도관련 논문 3편비중 33%연구 분야에 명시
   • 2026LoCO: Low-rank Compositional Rotation Fine-tuningIJCAI
   • 2026PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-TuningNeurIPS
   • 2025Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuningICLR
2. KAIST·컴퓨터 비전

   주재걸DAVIAN Lab

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

   김재준VLSI Lab

   관련도관련 논문 4편비중 8%
   • 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM AgentsICML
   • 2026PRESTE: Preserving Tiny Exponent Precision for Efficient Sub-8-bit LLM Inference and Fine-TuningICCAD
   • 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language ModelsICLR
4. SNU·AI 시스템

   전동석MMS Lab

   관련도관련 논문 4편비중 12%
   • 2026TokenDrop: Token-Level Importance-Aware Backward Propagation Skipping for Efficient LLM Fine-TuningICML
   • 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 InferenceCICC
   • 2025PaCA: Partial Connection Adaptation for Efficient Fine-TuningICLR
5. KU·자연어처리·LLM

   이상근Data Intelligence Lab

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

   한동준Edge AI Lab

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

   이준석VIP Lab

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

   윤국진VI Lab

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

   신진우ALIN Lab

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

    이기민

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

    이재길Data Mining Lab

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

    윤세영OSI Lab

    관련도관련 논문 5편비중 3%
    • 2025Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRAICLR
    • 2024Fine-tuning Pre-trained Models for Robustness Under Noisy LabelsIJCAI
    • 2024Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RLACL
13. SNU·머신러닝

    문태섭M.IN.D Lab

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

    김현우MLV Lab

    관련도관련 논문 4편비중 6%
    • 2026Parameter-Efficient Fine-Tuning via Meta-RegularizerIJCV
    • 2025DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPONeurIPS
    • 2023Distribution-Aware Prompt Tuning for Vision-Language ModelsICCV
15. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 4편비중 5%
    • 2025FedSVD: adaptive orthogonalization for private federated learning with LoRANeurIPS
    • 2025StarFT: robust fine-tuning of zero-shot models via spuriosity alignmentIJCAI
    • 2024Lipsum-FT: robust fine-tuning of zero-shot models using random text guidanceICLR
16. SNU·머신러닝

    윤성로AI Lab

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

    송경우MLAI Lab

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

    이병준Decision Making Lab

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

    김준모SIIT Lab

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

    박찬영DSAIL

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

    김동현UTL Lab

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

    정종헌TAIL

    관련도관련 논문 3편비중 13%
    • 2025StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity AlignmentIJCAI
    • 2024Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessTMLR
    • 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsICLR
23. POSTECH·머신러닝

    이남훈Computational Optimization Lab

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

    박진규System Intelligence Lab

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

    김재형ML3 Lab

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

    황승원LDI Lab

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

    곽수하, 조민수, 손진희CV Lab

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

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 2편비중 2%
    • 2026ChimeraLoRA: Multi-Head LoRA-Guided Synthetic DatasetsCVPR
    • 2025GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-TuningNeurIPS
29. Yonsei·머신러닝

    손지용ITML Lab

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

    이정우CML Lab

    관련도관련 논문 2편비중 4%
    • 2026Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention PerspectiveEMNLP
    • 2024Domain-Aware Fine-Tuning: Enhancing Neural Network AdaptabilityAAAI
31. Yonsei·머신러닝

    권태경AI Security Lab

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

    석흥일Machine Intelligence Lab

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

    김승룡CV Lab

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

    심현정CVML Lab

    관련도관련 논문 2편비중 4%
    • 20253D-Aware Vision-Language Models Fine-Tuning with Geometric DistillationEMNLP Findings
    • 2024Memory-Efficient Fine-Tuning for Quantized Diffusion ModelECCV
35. KAIST·머신러닝

    최재식SAIL Lab

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

    황성주MLAI Lab

    관련도관련 논문 2편비중 2%
    • 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRANeurIPS
    • 2024ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCVPR
37. SNU·자연어처리·LLM

    이상구IDS Lab

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

    박경문VGI Lab

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

    강유Data Mining Lab

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

    이근배, 김형훈NLP Lab

    관련도관련 논문 2편비중 2%
    • 2025Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program GenerationACL
    • 2023DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency ParsingDSTC11 Workshop at SIGDIAL
41. SNU·데이터 마이닝

    장준기

    관련도관련 논문 1편비중 7%
    • 2026DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse Tensor FactorizationKDD
42. Yonsei·컴퓨터 비전

    박은병V-Lab

    관련도관련 논문 2편비중 5%
    • 2024Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuningNeural Networks
    • 2024Parameter-Efficient Instance-Adaptive Neural Video CompressionACCV
43. KAIST·머신러닝

    문재균

    관련도관련 논문 1편비중 5%
    • 2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD GeneralizationAAAI
44. Yonsei·머신러닝

    이기복Machine Learning Lab

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

    유재민Data AI Lab

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

    김태섭LAAL Lab

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

    안성진MLML

    관련도관련 논문 1편비중 3%
    • 2026Understanding LoRA as Knowledge MemoryICML
48. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

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

    박재식Visual & Geometric Intelligence Lab

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

    이동헌BiLab

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

    최종현MPR Lab

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

    성민혁Visual AI Group

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

    오성준STAI Lab

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

    김상필Computer Vision Lab

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

    전세영ICL

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

    신기정Data Mining Lab

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

    예종철BISPL

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

    오태현AMI Lab

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

    김기응AIPR Lab

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

    양은호MLI Lab

    관련도관련 논문 2편비중 3%
    • 2024PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt TuningEMNLP Findings
    • 2023PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-labelICCV

+24

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.