주제로 연구실 찾기

1. KAIST·AI 시스템

   김주영CAST Lab

   관련도관련 논문 18편비중 27%
   • 2026APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and QuantizationICCAD
   • 2026Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative DecodingISCA
   • 2026FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video SynthesisECCV
2. KAIST·컴퓨터 비전

   김준모SIIT Lab

   관련도관련 논문 11편비중 13%
   • 2026Inlier-Centric Post-Training Quantization for Object Detection ModelsICLR
   • 2026MLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language RepresentationsEMNLP
   • 2026IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language ModelsEMNLP Findings
3. KAIST·머신러닝

   황성주MLAI Lab

   관련도관련 논문 13편비중 13%
   • 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMsNeurIPS
   • 2026Agentic Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher MemoryEMNLP Findings
   • 2026HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon AgentsEMNLP Findings
4. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 12편비중 8%
   • 2026BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion DraftingNeurIPS
   • 2026Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language ModelsEMNLP
   • 2025DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMsICML
5. KAIST·머신러닝

   이주호SIML Lab

   관련도관련 논문 9편비중 11%
   • 2026SAVE: sparsity-aware influence estimation for vocabulary-expanded LLMsNeurIPS
   • 2026SKIM: pruning large language model agents via selective knowledge informed maskingNeurIPS
   • 2025Ensemble distribution distillation via flow matchingICML
6. KAIST·컴퓨터 비전

   윤국진VI Lab

   관련도관련 논문 6편비중 5%
   • 2026Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time AdaptationCVPR
   • 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time AdaptationECCV
   • 2026Label-Free Cross-Task LoRA Merging with Null-Space CompressionCVPR
7. KAIST·머신러닝

   문일철AAI Lab

   관련도관련 논문 4편비중 10%연구 분야에 명시
   • 2026AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant DistributionICLR
   • 2026Distillation of Large Language Models via Concrete Score MatchingICLR
   • 2026WASD: Wasserstein-based Knowledge Distillation for Large Language ModelsNeurIPS
8. KAIST·데이터 마이닝

   신기정Data Mining Lab

   관련도관련 논문 8편비중 9%
   • 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional CompressionICDE
   • 2026TaLK: Text-Attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware KernelEMNLP Findings
   • 2025Compact Lossy Compression of Tensors via Neural Tensor-Train DecompositionKnowledge and Information Systems
9. KAIST·AI 시스템2026 업데이트 중

   김세훈SEAL

   관련도관련 논문 5편비중 36%연구 분야에 명시
   • 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV CacheICML
   • 2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationNeurIPS
   • 2024SqueezeLLM: Dense-and-Sparse QuantizationICML
10. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 5편비중 14%
    • 2026AdaRank: Adaptive Rank Pruning for Enhanced Model MergingICLR
    • 2026Infinite Mask Diffusion for Few-Step DistillationICML
    • 2026Multi-View Relational Distillation for Spatial Reasoning with Vision-Language ModelsNeurIPS
11. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 7편비중 13%
    • 2026What 'Not' to Detect: Negation-Aware VLMs via Structured Reasoning and Token MergingICLR
    • 2025Classifier-guided CLIP Distillation for Unsupervised Multi-label ClassificationCVPR
    • 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion ModelsICLR
12. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 5편비중 5%
    • 2026CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMsICLR
    • 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge VerificationICML
    • 2026Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMsECCV
13. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 7편비중 9%
    • 2026LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMsICML
    • 2025LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative DecodingICLR
    • 2025LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling MatricesNAACL
14. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 6편비중 26%
    • 2026Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial DistillationTMLR
    • 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text EncoderNeurIPS
    • 2025Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial LabelsICLR
15. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 5편비중 5%
    • 2026FastAV: Efficient Token Pruning for Audio-Visual Large Language Model InferenceICASSP
    • 2026SPADE: Structured Pruning and Adaptive Distillation for Efficient LLM-TTSICASSP
    • 2026WAND: Windowed Attention and Knowledge Distillation for Efficient Autoregressive Text-to-Speech ModelsINTERSPEECH
16. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 5편비중 4%
    • 2026Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative CompressionICML
    • 2026One Loss Is Not Enough: Cross-Objective Structured Pruning for Reasoning Vision–Language–Action ModelsNeurIPS
    • 2026Video Token Compression via Formation and Selection Distillation in Large Vision Language ModelsNeurIPS
17. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 5편비중 7%
    • 2026DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token PruningCVPR
    • 2026Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMsNeurIPS
    • 2025LongVU: Spatiotemporal Adaptive Compression for Long Video-Language UnderstandingICML
18. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 8편비중 6%
    • 2025Self-Refining Language Model Anonymizers via Adversarial DistillationNeurIPS
    • 2025Mamba Drafters for Speculative DecodingEMNLP Findings
    • 2025Think Clearly: Improving Reasoning via Redundant Token PruningEMNLP Findings
19. KAIST·AI 시스템

    한동수INA Lab

    관련도관련 논문 4편비중 15%
    • 2026Collaborative Reasoning Distillation via Cross-Feedback and Coherent CurationNeurIPS
    • 2026KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack ProblemICML
    • 2026NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharingWACV
20. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 5편비중 4%
    • 2026Denoised Variance-Based Pruning with Optimal Brain Bias CompensationECCV
    • 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuningICLR
    • 2025Disentangling Subject-Irrelevant Elements against Subject in Personalized Text-to-Image Diffusion via Filtered Self-distillationWACV
21. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련도관련 논문 2편비중 11%연구 분야에 명시
    • 2026DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal DistillationNeurIPS
    • 2023SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationEMNLP
22. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 5편비중 4%
    • 2026Accelerated Image Editing via Consistency-Aware Source Token PruningNeurIPS
    • 2025Inference-Time Diffusion Model DistillationICCV
    • 2024DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video EditingECCV
23. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 3편비중 3%
    • 2026SDP-Codec: A Speaker-Decoupled Speech Codec with Pitch Injection for Low-Bitrate Coding and Zero-Shot Voice ConversionINTERSPEECH
    • 2026Transferable Audio Lottery Tickets: Gradient Accumulation for Extreme SparsityICASSP
    • 2025FlashSR: One-step Versatile Audio Super-resolution via Diffusion DistillationICASSP
24. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 3편비중 4%
    • 2026Global Importance Estimation for KV Cache EvictionNeurIPS
    • 2025MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention SimilarityAAAI
    • 2024Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural NetworksCIKM
25. KAIST·AI 시스템

    유민수VIA Research Group

    관련도관련 논문 2편비중 7%
    • 2026SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative DecodingDAC
    • 2026Exploring KV Cache Quantization in Multimodal Large Language Model InferenceIEEE Computer Architecture Letters
26. KAIST·머신러닝

    문재균

    관련도관련 논문 3편비중 15%
    • 2026PruneFuse: Efficient Data Selection via Weight Pruning and Network FusionTMLR
    • 2024Pruning-based Data Selection and Network Fusion for Efficient Deep LearningNeurIPS
    • 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural NetworksNeurIPS
27. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 3편비중 3%
    • 2026LiDAR-Anchored Collaborative Distillation for Robust 2D RepresentationsIEEE RA-L
    • 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D AwarenessICCV
    • 2023Multi-stage Adaptive Rank Statistic Pruning for Lightweight Human 3D Mesh Recovery ModelThe Visual Computer
28. KAIST·머신러닝

    윤철희OptiML Lab

    관련도관련 논문 2편비중 5%
    • 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-LabelingNeurIPS
    • 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction UncertaintyICML
29. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련도관련 논문 2편비중 5%
    • 2026MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use DistillationEMNLP
    • 2023Lightweight Image Steganalysis with Block-wise PruningScientific Reports
30. KAIST·머신러닝

    이상완AI Brain Lab

    관련도관련 논문 2편비중 4%
    • 2025Inference-time diffusion model distillationICCV
    • 2023Training debiased subnetworks with contrastive weight pruningCVPR
31. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 2편비중 6%
    • 2024LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionECCV
    • 2024RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR FeaturesCVPR
32. KAIST·머신러닝

    김기응AIPR Lab

    관련도관련 논문 1편비중 4%
    • 2026Behavior-Preserving KV Cache CompressionEMNLP
33. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 1편비중 2%
    • 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMsNeurIPS
34. KAIST·머신러닝

    이기민

    관련도관련 논문 1편비중 2%
    • 2026Entropy-Aware On-Policy Distillation of Language ModelsICML
35. KAIST·컴퓨터 비전

    김승욱GLOW Lab

    관련도관련 논문 1편비중 7%
    • 2025Random Conditioning with Distillation for Data-Efficient Diffusion Model CompressionCVPR
36. KAIST·컴퓨터 비전

    김태균CV & Learning Lab

    관련도관련 논문 2편비중 6%
    • 20233D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective SurfacesICCV
    • 2023Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display ImagesMVA
37. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련도관련 논문 2편비중 5%
    • 2023Context Consistency Regularization for Label Sparsity in Time SeriesICML
    • 2023Robust Data Pruning under Label Noise via Maximizing Re-labeling AccuracyNeurIPS
38. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 1편비중 1%
    • 2025Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning DistillationACL Findings
39. KAIST·컴퓨터 비전

    노용만IVY Lab

    관련도관련 논문 1편비중 1%
    • 2024Text-Guided Distillation Learning to Diversify Video Embeddings for Text-Video RetrievalPattern Recognition
40. KAIST·컴퓨터 비전

    성민혁Visual AI Group

    관련도관련 논문 1편비중 2%
    • 2024Posterior Distillation SamplingCVPR
41. KAIST·머신러닝

    성영철SISReL

    관련도관련 논문 1편비중 3%
    • 2023Parameter Sharing with network pruning for scalable multi-agent deep reinforcement learningAAMAS
42. KAIST·머신러닝

    안성진MLML

    관련도관련 논문 1편비중 3%
    • 2023Object-Centric Semantic Vector QuantizationNeurIPS
43. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련도관련 논문 1편비중 2%
    • 2023Multi-Resolution Distillation for Self-Supervised Monocular Depth EstimationPattern Recognition Letters
44. KAIST·AI for Science

    최윤재

    관련도관련 논문 1편비중 2%
    • 2023Exploration into Translation-Equivariant Image QuantizationICASSP

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.