관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- KAISTAI 시스템
김주영CAST Lab
관련 논문 18편비중 27%- 2026APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization ICCAD
- 2026Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding ISCA
- 2026FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video Synthesis ECCV
- POSTECH머신러닝
이재호EffL Lab
관련 논문 13편비중 34%연구 분야에 명시- 2026Activation Quantization of Vision Encoders Needs Prefixing Registers ECCV
- 2026KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation NeurIPS
- 2026IterQuant: Iterative Quantization Framework for Mixed-Precision LLM Compression DATE
- SNU데이터 마이닝
강유Data Mining Lab
관련 논문 12편비중 18%- 2026Accurate Zero-shot Quantization via Hierarchical Teacher-Assistant Distillation ECCV
- 2026LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers AAAI
- 2026Learning Diagnostic Clarifying Questions for Conversational Question Answering via Data-Efficient Dynamic Distillation EMNLP
- SNUAI 시스템
김재준VLSI Lab
관련 논문 8편비중 16%연구 분야에 명시- 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents ICML
- 2026QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models ICLR
- 2026FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration ACL Findings
- KAIST컴퓨터 비전
김준모SIIT Lab
관련 논문 11편비중 13%- 2026Inlier-Centric Post-Training Quantization for Object Detection Models ICLR
- 2026MLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language Representations EMNLP
- 2026IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models EMNLP Findings
- SNUAI 시스템
유승주CMA Lab
관련 논문 7편비중 39%연구 분야에 명시- 2026LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss NeurIPS
- 2026Locality-Aware Redundancy Pruning for LLM Depth Compression EMNLP
- 2026PN-Mix: Pair-Norm Guided Mixed-Precision Key Cache Quantization for Efficient Long-Output LLM Inference EMNLP
- POSTECH머신러닝
이남훈Computational Optimization Lab
관련 논문 8편비중 31%연구 분야에 명시- 2026Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity EMNLP
- 2026The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM ICLR
- 2026Dynamic Network Compression via Probabilistic Channel Pruning Neural Networks
- KAIST머신러닝
황성주MLAI Lab
관련 논문 13편비중 13%- 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs NeurIPS
- 2026Agentic Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory EMNLP Findings
- 2026HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents EMNLP Findings
- KAIST머신러닝
윤세영OSI Lab
관련 논문 12편비중 8%- 2026BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting NeurIPS
- 2026Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models EMNLP
- 2025DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML
- YonseiAI 시스템
김상엽EASY Lab
관련 논문 8편비중 15%연구 분야에 명시- 2025EdgeDiff: 418.4mJ/inference Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization ISSCC
- 2025EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization JSSC
- 2025A 65.1 TOPS/W Digital CIM Processor for Ultra-Low-Bit Transformers with Multiplexer-Based Adder and Scaling Factor-Based Reordering ISCAS
- Yonsei컴퓨터 비전
이종석MCML Group
관련 논문 5편비중 16%연구 분야에 명시- 2026Coarse-to-fine: Progressive image compression for semantically hierarchical classification ICIP
- 2026SLIM: Semantic-based low-bitrate image compression for machines ACCV
- 2026Progressive learned image compression for machine perception ECCV
- KAIST머신러닝
이주호SIML Lab
관련 논문 9편비중 11%- 2026SAVE: sparsity-aware influence estimation for vocabulary-expanded LLMs NeurIPS
- 2026SKIM: pruning large language model agents via selective knowledge informed masking NeurIPS
- 2025Ensemble distribution distillation via flow matching ICML
- KAIST컴퓨터 비전
윤국진VI Lab
관련 논문 6편비중 5%- 2026Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation CVPR
- 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation ECCV
- 2026Label-Free Cross-Task LoRA Merging with Null-Space Compression CVPR
- SNU컴퓨터 비전
조남익ISPL
관련 논문 8편비중 13%- 2026HFSQVAE: Hierarchical Vector Quantization with Residuals for Frequency-Specific Embedding ICASSP
- 2026Faithful and Realistic Image Compression at Extreme-Low Bitrate via Pretrained Discrete Priors IEEE SPL
- 2025Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution AAAI
- KAIST머신러닝
문일철AAI Lab
관련 논문 4편비중 10%연구 분야에 명시- 2026AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution ICLR
- 2026Distillation of Large Language Models via Concrete Score Matching ICLR
- 2026WASD: Wasserstein-based Knowledge Distillation for Large Language Models NeurIPS
- KAIST데이터 마이닝
신기정Data Mining Lab
관련 논문 8편비중 9%- 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression ICDE
- 2026TaLK: Text-Attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel EMNLP Findings
- 2025Compact Lossy Compression of Tensors via Neural Tensor-Train Decomposition Knowledge and Information Systems
- KAISTAI 시스템2026 업데이트 중
김세훈SEAL
관련 논문 5편비중 36%연구 분야에 명시- 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache ICML
- 2024KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS
- 2024SqueezeLLM: Dense-and-Sparse Quantization ICML
- SNU머신러닝
송현오Machine Learning Lab
관련 논문 6편비중 38%- 2026Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs EMNLP
- 2025GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML
- 2025KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction NeurIPS
- KAIST컴퓨터 비전
홍승훈Vision and Learning Lab
관련 논문 5편비중 14%- 2026AdaRank: Adaptive Rank Pruning for Enhanced Model Merging ICLR
- 2026Infinite Mask Diffusion for Few-Step Distillation ICML
- 2026Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models NeurIPS
- KAIST컴퓨터 비전
심현정CVML Lab
관련 논문 7편비중 13%- 2026What 'Not' to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging ICLR
- 2025Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification CVPR
- 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models ICLR
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 5편비중 5%- 2026CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs ICLR
- 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification ICML
- 2026Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs ECCV
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 6편비중 7%- 2026Fractional Power-of-Two Quantization for Efficient and Effective Multiplier-Free LLM Inference NeurIPS
- 2026ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation ICML
- 2026Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models ECCV
- KAIST머신러닝
양은호MLI Lab
관련 논문 7편비중 9%- 2026LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs ICML
- 2025LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding ICLR
- 2025LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL
- KAIST머신러닝
정혜원IIDS Lab
관련 논문 6편비중 26%- 2026Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation TMLR
- 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder NeurIPS
- 2025Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels ICLR
- SNUAI 시스템
이재욱ARC Lab
관련 논문 7편비중 22%- 2025DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization OSDI
- 2025FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials ICML
- 2025GuidedQuant: Large Language Model Quantization via Exploiting End-to-End Loss Guidance ICML
- SNU컴퓨터 비전
박재식Visual & Geometric Intelligence Lab
관련 논문 5편비중 9%- 2026Distribution Matching Distillation without Fake Score Network NeurIPS
- 2026Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation TMLR
- 2026One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV
- Yonsei머신러닝
노승문AI-ISL
관련 논문 4편비중 11%연구 분야에 명시- 2026Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs ICML
- 2025Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL Findings
- 2023How Does a Transformer Learn Compression? An Attention Study on Huffman and LZ4 IEEE Access
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 5편비중 5%- 2026FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference ICASSP
- 2026SPADE: Structured Pruning and Adaptive Distillation for Efficient LLM-TTS ICASSP
- 2026WAND: Windowed Attention and Knowledge Distillation for Efficient Autoregressive Text-to-Speech Models INTERSPEECH
- KU머신러닝
이성환PRML Lab
관련 논문 6편비중 3%- 2026Generation-Drift-Guided Block Pruning for Large Language Models NeurIPS
- 2026Negative Contrastive Chain-of-Thought Distillation for Transfer Reasoning Capability to Small Language Models IEEE Access
- 2025DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech INTERSPEECH
- SNU자연어처리·LLM
황승원LDI Lab
관련 논문 5편비중 7%- 2026TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning EMNLP
- 2026TAGQuant: Token-Aware Clustering for Group-Wise Quantization EACL
- 2025STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL
- KAIST컴퓨터 비전
김승룡CV Lab
관련 논문 5편비중 4%- 2026Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression ICML
- 2026One Loss Is Not Enough: Cross-Objective Structured Pruning for Reasoning Vision–Language–Action Models NeurIPS
- 2026Video Token Compression via Formation and Selection Distillation in Large Vision Language Models NeurIPS
- SNU음성·오디오
이교구MARG
관련 논문 6편비중 8%- 2026Fast Speech Foundation Model Distillation Using Interleaved Stacking INTERSPEECH
- 2025Variable Bitrate Residual Vector Quantization for Audio Coding ICASSP
- 2025Reverse Engineering of Music Mixing Graphs with Differentiable Processors and Iterative Pruning Journal of the Audio Engineering Society
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 5편비중 7%- 2026DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning CVPR
- 2026Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMs NeurIPS
- 2025LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding ICML
- SNUAI 시스템
이진호AISys Lab
관련 논문 6편비중 15%- 2026TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information DAC
- 2025FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic NeurIPS
- 2025MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI
- KAIST머신러닝
신진우ALIN Lab
관련 논문 8편비중 6%- 2025Self-Refining Language Model Anonymizers via Adversarial Distillation NeurIPS
- 2025Mamba Drafters for Speculative Decoding EMNLP Findings
- 2025Think Clearly: Improving Reasoning via Redundant Token Pruning EMNLP Findings
- SNU컴퓨터 비전
전세영ICL
관련 논문 5편비중 7%- 2026AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception CVPR
- 2026DictLLM: Post-training Compression of Large Language Model with Dictionary Kernels NeurIPS
- 2025Efficient Personalization of Quantized Diffusion Model without Backpropagation CVPR
- SNU머신러닝
이정우CML Lab
관련 논문 4편비중 8%- 2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI
- 2026Bias Alleviation through Network Pruning for Sparse and Debiased Models IEEE TIP
- 2026Federated Offline Reinforcement Learning with Heterogeneous Client Capacities via Progressive Distillation Neurocomputing
- KAISTAI 시스템
한동수INA Lab
관련 논문 4편비중 15%- 2026Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation NeurIPS
- 2026KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem ICML
- 2026NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharing WACV
- KAIST컴퓨터 비전
주재걸DAVIAN Lab
관련 논문 5편비중 4%- 2026Denoised Variance-Based Pruning with Optimal Brain Bias Compensation ECCV
- 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
- 2025Disentangling Subject-Irrelevant Elements against Subject in Personalized Text-to-Image Diffusion via Filtered Self-distillation WACV
- KAIST자연어처리·LLM
김현우COCO Lab
관련 논문 2편비중 11%연구 분야에 명시- 2026DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal Distillation NeurIPS
- 2023SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization EMNLP
- KAISTAI for Science
예종철BISPL
관련 논문 5편비중 4%- 2026Accelerated Image Editing via Consistency-Aware Source Token Pruning NeurIPS
- 2025Inference-Time Diffusion Model Distillation ICCV
- 2024DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing ECCV
- SNU머신러닝
윤성로AI Lab
관련 논문 4편비중 4%- 2026HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT CVPR
- 2026SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality ICLR
- 2025On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss IJCV
- SNU데이터 마이닝
장준기
관련 논문 2편비중 14%연구 분야에 명시- 2024Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors KDD
- 2024Compact Lossy Compression of Tensors via Neural Tensor-Train Decomposition Knowledge and Information Systems
- SNUAI 시스템
김형신AIoT Lab
관련 논문 1편비중 3%연구 분야에 명시- 2026Resource-Adaptivity Beyond the Model: Sensor Control for Quantized On-Device Vision ICML
- SNU머신러닝
김태섭LAAL Lab
관련 논문 3편비중 8%- 2026Garbage attention in large language models: Bos sink heads and sink-aware pruning EMNLP
- 2026Stable On-Policy Distillation through Adaptive Target Reformulation ACL Findings
- 2025ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction ICCV
- KAIST음성·오디오
남주한MAC Lab
관련 논문 3편비중 3%- 2026SDP-Codec: A Speaker-Decoupled Speech Codec with Pitch Injection for Low-Bitrate Coding and Zero-Shot Voice Conversion INTERSPEECH
- 2026Transferable Audio Lottery Tickets: Gradient Accumulation for Extreme Sparsity ICASSP
- 2025FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation ICASSP
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 3편비중 6%- 2026GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QAT ACM SAC
- 2025Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing ACM SAC
- 2025Fixing Truncation-Induced Mode Collapse in GFlowNets via Pruning Loss BIBM
- KU음성·오디오
김찬우SLPL
관련 논문 1편비중 4%연구 분야에 명시- 2024Physics Informed Distillation for Diffusion Models TMLR
- KU자연어처리·LLM
임희석NLP&AI Lab
관련 논문 3편비중 3%- 2026Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval SIGIR
- 2025LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs NAACL
- 2025HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts EMNLP Findings
- POSTECH컴퓨터 비전
곽수하, 조민수, 손진희CV Lab
관련 논문 3편비중 3%- 2026Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation NeurIPS
- 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity NeurIPS
- 2025Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling CVPR
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 3편비중 3%- 2026MOB-KV: Mixture of Basis for Key-Value Cache Compression EMNLP
- 2025AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP
- 2025Grouped Speculative Decoding for Autoregressive Image Generation ICCV
- KU인간-AI 상호작용
서승호HUI
관련 논문 5편비중 8%- 2024AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation Knowledge-Based Systems
- 2024TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines ICPR
- 2024BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation ABC
- SNUAI 시스템
서지원Machine Learning Systems Lab
관련 논문 2편비중 17%- 2026FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks EuroSys
- 2026Speculative Verification: Exploiting Information Gain to Refine Speculative Decoding ACL Findings
- KAIST데이터 마이닝
박노성BigDyL
관련 논문 3편비중 4%- 2026Global Importance Estimation for KV Cache Eviction NeurIPS
- 2025MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI
- 2024Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks CIKM
- SNU자연어처리·LLM
유영재PI Lab
관련 논문 5편비중 5%- 2025V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models ICCV
- 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents EMNLP
- 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Models NeurIPS
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 3편비중 5%- 2026Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning ICLR
- 2025GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting CVPR
- 2023Exploration into Translation-Equivariant Image Quantization ICASSP
- KAISTAI 시스템
유민수VIA Research Group
관련 논문 2편비중 7%- 2026SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decoding DAC
- 2026Exploring KV Cache Quantization in Multimodal Large Language Model Inference IEEE Computer Architecture Letters
- SNU자연어처리·LLM
도재영AIDAS Lab
관련 논문 2편비중 6%- 2026Beyond Retraining-Free MoE Compression: A Cost-Normalized Study of Post-Compression Adjustment EMNLP
- 2026Unified Static–Dynamic Pruning for Efficient LLM Inference VLDB
- KAIST머신러닝
문재균
관련 논문 3편비중 15%- 2026PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion TMLR
- 2024Pruning-based Data Selection and Network Fusion for Efficient Deep Learning NeurIPS
- 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS
- KAIST컴퓨터 비전
오태현AMI Lab
관련 논문 3편비중 3%- 2026LiDAR-Anchored Collaborative Distillation for Robust 2D Representations IEEE RA-L
- 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D Awareness ICCV
- 2023Multi-stage Adaptive Rank Statistic Pruning for Lightweight Human 3D Mesh Recovery Model The Visual Computer
- Yonsei자연어처리·LLM
이동하DLI Lab
관련 논문 4편비중 7%- 2025BPL: Bias-adaptive Preference Distillation Learning for Recommender System IEEE TKDE
- 2024Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems ACM Transactions on Recommender Systems
- 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents EMNLP
- KU머신러닝
박세준Efficient Inference and Learning Lab
연구 분야에 명시 - POSTECH그래픽스
이승용, 조성현, 백승환CG Lab
관련 논문 3편비중 4%- 2025Locality-aware Gaussian Compression for Fast and High-quality Rendering ICLR
- 2025Leveraging Learned Image Prior for 3D Gaussian Compression ICCV
- 2024Diffusion Model Compression for Image-to-Image Translation ACCV
- POSTECHAI 시스템
전명재OMNIA Lab
관련 논문 2편비중 17%- 2026ORBITFLOW: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration VLDB
- 2025Training-Free Exponential Context Extension via Cascading KV Cache ICLR
- SNU로보틱스
조규진Biorobotics Lab
관련 논문 2편비중 6%- 2026Exhalation-Synchronous Robotic Abdominal Compression for User-Centered Respiratory Assistance and Training in Neurological Patients Journal of NeuroEngineering and Rehabilitation
- 2025A hyperelastic torque-reversal mechanism for soft joints with compression-responsive transient bistability Science Robotics
- KAIST머신러닝
윤철희OptiML Lab
관련 논문 2편비중 5%- 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling NeurIPS
- 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty ICML
- KU컴퓨터 비전
박경문VGI Lab
관련 논문 2편비중 4%- 2026ISER: Instance-Specific Early Stopping with Dynamic Low-Rank Adaptation for Learned Image Compression Electronics
- 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability CVPR
- KUAI for Science
석흥일Machine Intelligence Lab
관련 논문 2편비중 4%- 2026Context-Aware Pruning for Ordering-Based Causal Discovery CIKM
- 2025Quantized Factor Identifiable Causal Effect Variational Autoencoder CIKM
- Yonsei컴퓨터 비전
김선주CIPLab
관련 논문 2편비중 4%- 2026Streaming Atomic Action Segmentation in Egocentric Videos via Iterative LVLM-to-Streaming Distillation EMNLP
- 2025Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs ICCV
- Yonsei머신러닝
조성배SCLAB
관련 논문 2편비중 3%- 2026Multi-Feature Quantized Self-Attention for Fair Large Language Models ICLR
- 2025Knowledge Distillation of Class Activation Maps from Two Teachers for Continual Learning HAIS
- Yonsei데이터 마이닝
김하영MLCF Lab
관련 논문 2편비중 7%- 2026DIVA: Instruction-Aware Vision Token Pruning via Dual-Probe Attention Discrepancy ECCV
- 2024Do Topological Characteristics Help in Knowledge Distillation? ICML
- KU머신러닝
김성웅, 임성빈AGI Lab
관련 논문 2편비중 6%- 2026LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization IEEE TASLP
- 2024Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization IROS
- Yonsei컴퓨터 비전
박은병V-Lab
관련 논문 2편비중 5%- 2026CompMarkGS: Robust Watermarking for Compression 3D Gaussian Splatting ICLR
- 2024Parameter-Efficient Instance-Adaptive Neural Video Compression ACCV
- SNUAI 시스템
안정호SCALable Computer Architecture Lab
관련 논문 2편비중 4%- 2026High-Bandwidth Flash for KV Caches: Endurance and Performance Implications IEEE Computer Architecture Letters
- 2024An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models HPCA
- YonseiAI 시스템
김영석HPCP Lab
관련 논문 3편비중 11%- 2025LATPC: Accelerating GPU Address Translation Using Locality-Aware TLB Prefetching and MSHR Compression MICRO
- 2023Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression ASPLOS
- 2023Pipe-BD: Pipelined Parallel Blockwise Distillation DATE
- SNUAI 시스템
전동석MMS Lab
관련 논문 2편비중 6%- 2025HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference NeurIPS
- 2025An Energy-Efficient 3D Semantic Segmentation Processor With Offset-Wise Weight Quantization TCAS-II
- KAIST자연어처리·LLM
임경태MLP Lab
관련 논문 2편비중 5%- 2026MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation EMNLP
- 2023Lightweight Image Steganalysis with Block-wise Pruning Scientific Reports
- SNUAI for Science
김경수AIBL
관련 논문 2편비중 6%- 2025COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation ICCV
- 2024TTD: Text-Tag Distillation For Open-Vocabulary Classification and Segmentation ECCV
- POSTECH음성·오디오
서영주AIoT Lab
관련 논문 2편비중 6%- 2025QR-VC: Leveraging Quantization Residuals for Linear Disentanglement in Zero-Shot Voice Conversion EUSIPCO
- 2024Improving Monocular Depth Estimation Through Knowledge Distillation: Better Visual Quality and Efficiency IEEE Access
- SNU로보틱스
최준원ADR Lab
관련 논문 2편비중 5%- 2025RCTDistill: Cross-Modal Knowledge Distillation Framework for Radar-Camera 3D Object Detection with Temporal Fusion ICCV
- 2024RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features CVPR
- SNU머신러닝
장병탁BI Lab
관련 논문 3편비중 4%- 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML
- 2023Causal Dynamics Learning with Quantized Local Independence Discovery ICML
- 2023Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement Learning NeurIPS
- SNU컴퓨터 비전
이경무, 한보형CV Lab
관련 논문 2편비중 2%- 2025Difficulty, Diversity, and Plausibility: Dynamic Data-Free Quantization WACV
- 2024Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks ECCV
- SNU머신러닝
김용대IDEA Lab
관련 논문 2편비중 8%- 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Models NeurIPS
- 2023Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV
- KAIST머신러닝
이상완AI Brain Lab
관련 논문 2편비중 4%- 2025Inference-time diffusion model distillation ICCV
- 2023Training debiased subnetworks with contrastive weight pruning CVPR
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 2편비중 3%- 2025SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models NAACL Findings
- 2023Task-specific Compression for Multi-task Language Models using Attribution-based Pruning EACL Findings
- SNU자연어처리·LLM
이상구IDS Lab
관련 논문 1편비중 6%- 2026Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL Findings
- KAIST로보틱스
금동석AXE Lab
관련 논문 2편비중 6%- 2024LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection ECCV
- 2024RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features CVPR
- Yonsei로보틱스
이용현RoPhi Lab
관련 논문 1편비중 5%- 2026Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping ICRA
- KAIST머신러닝
김기응AIPR Lab
관련 논문 1편비중 4%- 2026Behavior-Preserving KV Cache Compression EMNLP
- Yonsei데이터 마이닝
장백철ANDLab
관련 논문 1편비중 3%- 2026DuQUAD: A Dual-View Framework with Quality-Aware Evidence Pruning for Multi-Document Question Answering EMNLP
- SNU컴퓨터 비전
김영민3D Vision Lab
관련 논문 1편비중 2%- 2026Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping ICRA
- SNU인간-AI 상호작용
서봉원Human Centered Computing Lab
관련 논문 1편비중 2%- 2026From selfies to synthetic faces: selective aesthetic compression in East Asian beauty representation AI & Society
- SNU머신러닝
오민환
관련 논문 1편비중 2%- 2026Block Sphere Vector Quantization NeurIPS
- SNU자연어처리·LLM
조요한
관련 논문 1편비중 2%- 2026KL for a KL: On-Policy Distillation with Control Variate Baseline NeurIPS
- KAIST머신러닝
오성준STAI Lab
관련 논문 1편비중 2%- 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs NeurIPS
- KAIST머신러닝
이기민
관련 논문 1편비중 2%- 2026Entropy-Aware On-Policy Distillation of Language Models ICML
- KU컴퓨터 비전
김상필Computer Vision Lab
관련 논문 1편비중 2%- 2026CompMarkGS: Robust Watermarking for Compression 3D Gaussian Splatting ICLR
- Yonsei컴퓨터 비전
전해곤Visual AI Lab
관련 논문 1편비중 2%- 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening ICLR
- Yonsei자연어처리·LLM
한요섭TOC Lab
관련 논문 1편비중 2%- 2026DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation EACL
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 1편비중 1%- 2026RRD: Routing-and-Residual Distillation for Efficient MoE Recovery in Large Language Models ICML
- SNU머신러닝
이원종DRL Lab
관련 논문 2편비중 8%- 2024LeSS: Learning to Select a Structured architecture over filter pruning and low-rank decomposition ICLR
- 2023An effective low-rank compression with a joint rank selection followed by a compression-friendly training Neural Networks
- KAIST컴퓨터 비전
김승욱GLOW Lab
관련 논문 1편비중 7%- 2025Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression CVPR
- KAIST컴퓨터 비전
김태균CV & Learning Lab
관련 논문 2편비중 6%- 20233D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces ICCV
- 2023Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images MVA
- KAIST데이터 마이닝
이재길Data Mining Lab
관련 논문 2편비중 5%- 2023Context Consistency Regularization for Label Sparsity in Time Series ICML
- 2023Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy NeurIPS
- KU자연어처리·LLM
정우환Autonomous AI Lab
관련 논문 1편비중 6%- 2025Improving Detail in Pluralistic Image Inpainting with Feature Dequantization WACV
- SNU인간-AI 상호작용
권가진CC Lab
관련 논문 1편비중 5%- 2025MERNet: Multimodal Emotion Recognition in Conversation Network via Cross-Modal Knowledge Distillation and Contrastive Learning BigComp
- SNU컴퓨터 비전
김건희Vision & Learning Lab
관련 논문 2편비중 4%- 2023Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation ICCV
- 2023SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization EMNLP
- SNU머신러닝
문태섭M.IN.D Lab
관련 논문 1편비중 2%- 2025Genomic Data Classification via Universal Compression ISMB/ECCB
- SNU컴퓨터 비전
최종현MPR Lab
관련 논문 1편비중 2%- 2025MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 1편비중 1%- 2025Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation ACL Findings
- KUAI for Science
감태의Medical AI Lab
관련 논문 1편비중 1%- 2025Group-wise Compression and Summarization via LLM-based Ensemble for Chest X-ray Report Generation EMBC
- SNUAI 시스템
권태경MM Lab
관련 논문 1편비중 5%- 2024IRRedicator: Pruning IRR with RPKI-valid BGP Insights NDSS
- SNU머신러닝
이상학Causality Lab
관련 논문 1편비중 3%- 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML
- SNU자연어처리·LLM
이재윤SKI-ML Lab
관련 논문 1편비중 4%- 2024Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation ACL
- Yonsei컴퓨터 비전
어영정Visual Intelligence Lab
관련 논문 1편비중 4%- 2024Plug-and-Play Diffusion Distillation CVPR
- SNUAI for Science
김선BHI Lab
관련 논문 1편비중 2%- 2024ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation Scientific Reports
- KAIST컴퓨터 비전
노용만IVY Lab
관련 논문 1편비중 1%- 2024Text-Guided Distillation Learning to Diversify Video Embeddings for Text-Video Retrieval Pattern Recognition
- KAIST컴퓨터 비전
성민혁Visual AI Group
관련 논문 1편비중 2%- 2024Posterior Distillation Sampling CVPR
- POSTECHAI for Science
김원화, 류일우MIP Lab
관련 논문 1편비중 1%- 2024Style-KD: Class-imbalanced medical image classification via style knowledge distillation Biomedical Signal Processing and Control
- KU머신러닝
이창희AIX
관련 논문 1편비중 3%- 2024DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models IEEE Access
- Yonsei컴퓨터 비전
이상훈Multi-dimensional Insight Lab
관련 논문 1편비중 2%- 2024Exposure Correction Framework via Vector Quantization for Image Enhancement ICEIC
- KU머신러닝
정종헌TAIL
관련 논문 1편비중 4%- 2023Collaborative Score Distillation for Consistent Visual Synthesis NeurIPS
- SNU머신러닝2026 업데이트 중
강명주NCIA Lab
관련 논문 1편비중 3%- 2023Self-Knowledge Distillation via Dropout Computer Vision and Image Understanding
- SNUAI for Science
이동헌BiLab
관련 논문 1편비중 2%- 2023Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods with Soft-label and Train-set Pruning IEEE JBHI
- SNUAI 시스템
이영기HCS Lab
관련 논문 1편비중 3%- 2023A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning MobiCom
- KAIST머신러닝
성영철SISReL
관련 논문 1편비중 3%- 2023Parameter Sharing with network pruning for scalable multi-agent deep reinforcement learning AAMAS
- KAIST머신러닝
안성진MLML
관련 논문 1편비중 3%- 2023Object-Centric Semantic Vector Quantization NeurIPS
- KAIST컴퓨터 비전
윤성의SGVR Lab
관련 논문 1편비중 2%- 2023Multi-Resolution Distillation for Self-Supervised Monocular Depth Estimation Pattern Recognition Letters
- KAISTAI for Science
최윤재
관련 논문 1편비중 2%- 2023Exploration into Translation-Equivariant Image Quantization ICASSP
- KU자연어처리·LLM
이상근Data Intelligence Lab
관련 논문 1편비중 3%- 2023Dynamic Structure Pruning for Compressing CNNs AAAI
- Yonsei자연어처리·LLM
여진영Language & AGI Lab
관련 논문 1편비중 2%- 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents EMNLP
- Yonsei머신러닝
한동준Edge AI Lab
관련 논문 1편비중 2%- 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS
- SNU로보틱스
김현진LARR Lab
관련 논문 1편비중 1%- 2023CQM: Curriculum Reinforcement Learning with a Quantized World Model NeurIPS
- POSTECH자연어처리·LLM
이근배, 김형훈NLP Lab
관련 논문 1편비중 1%- 2023Target-Oriented Knowledge Distillation with Language-Family-Based Grouping for Multilingual NMT TALLIP