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Learning Theory · 연구실 53곳 · 논문 75편

다른 주제·대학과 함께 찾기
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. KAIST머신러닝

    윤철희OptiML Lab

    관련 논문 11편비중 25%연구 분야에 명시
    • 2026Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness ICLR
    • 2026Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime ICLR
    • 2026Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization ICLR
  2. KU머신러닝

    박세준Efficient Inference and Learning Lab

    관련 논문 5편비중 38%연구 분야에 명시
    • 2026On the Expressive Power of Floating-Point Transformers ICML
    • 2025Floating-Point Neural Networks Are Provably Robust Universal Approximators CAV
    • 2025Minimum Width for Universal Approximation using Squashable Activation Functions ICML
  3. Yonsei머신러닝

    노승문AI-ISL

    관련 논문 3편비중 8%연구 분야에 명시
    • 2026A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse NeurIPS
    • 2026An Information Theoretic Evaluation Metric For Strong Unlearning AAAI
    • 2025Information-Theoretic Discrete Diffusion NeurIPS
  4. Yonsei머신러닝

    손지용ITML Lab

    관련 논문 2편비중 8%연구 분야에 명시
    • 2026Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models ICML
    • 2025A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning AISTATS
  5. KAIST머신러닝

    윤세영OSI Lab

    관련 논문 3편비중 2%
    • 2026Process-Verified Reinforcement Learning for Theorem Proving via Lean ICLR
    • 2026Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences NeurIPS
    • 2026Bridging the Gap between Theory of Mind and Action in LLMs ICLR
  6. POSTECH머신러닝

    전광성Interactive Machine Learning Lab

    관련 논문 2편비중 10%연구 분야에 명시
    • 2024Better-than-KL PAC-Bayes Bounds COLT
    • 2023Tighter PAC-Bayes bounds through coin-betting COLT
  7. Yonsei컴퓨터 비전

    오유진OMAEL

    관련 논문 1편비중 9%연구 분야에 명시
    • 2025Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective ICML
  8. KAIST자연어처리·LLM

    김현우COCO Lab

    관련 논문 4편비중 21%
    • 2025Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models COLM
    • 2024Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory ICLR
    • 2024Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models EMNLP
  9. KAIST머신러닝

    안성진MLML

    관련 논문 2편비중 7%
    • 2026BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone NeurIPS
    • 2026Learning to Theorize the World from Observation ICML
  10. SNU머신러닝2026 업데이트 중

    강명주NCIA Lab

    연구 분야에 명시
  11. SNU머신러닝

    이원종DRL Lab

    연구 분야에 명시
  12. KAIST머신러닝

    정혜원IIDS Lab

    연구 분야에 명시
  13. POSTECH머신러닝2026 업데이트 중

    안희갑Algorithms Lab

    연구 분야에 명시
  14. POSTECH머신러닝

    이재호EffL Lab

    연구 분야에 명시
  15. KU머신러닝

    김성웅, 임성빈AGI Lab

    연구 분야에 명시
  16. KUAI for Science

    서현석IMPEL Lab

    연구 분야에 명시
  17. KU머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    연구 분야에 명시
  18. Yonsei머신러닝

    권도현PDE & AI Lab

    연구 분야에 명시
  19. Yonsei로보틱스

    이용현RoPhi Lab

    연구 분야에 명시
  20. Yonsei로보틱스

    최종은MLCS Lab

    연구 분야에 명시
  21. Yonsei자연어처리·LLM

    한요섭TOC Lab

    연구 분야에 명시
  22. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 3편비중 3%
    • 2025High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction NeurIPS
    • 2025Towards Bridging Generalization and Expressivity of Graph Neural Networks ICLR
    • 2024PAC Prediction Sets Under Label Shift ICLR
  23. SNU컴퓨터 비전

    최종현MPR Lab

    관련 논문 2편비중 5%
    • 2026An Information Theoretic Evaluation Metric for Strong Unlearning AAAI
    • 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ICLR
  24. Yonsei자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 2편비중 4%
    • 2026PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints ACL Findings
    • 2024CACTUS: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory EMNLP Findings
  25. SNU자연어처리·LLM

    유영재PI Lab

    관련 논문 2편비중 2%
    • 2026Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language EMNLP Findings
    • 2024CACTUS: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory EMNLP Findings
  26. KAIST컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련 논문 2편비중 5%
    • 2026What are the Right Symmetries for Formal Theorem Proving? ICML
    • 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML
  27. KAIST머신러닝

    성영철SISReL

    관련 논문 2편비중 6%
    • 2025Multi-objective reinforcement learning with max-min criterion: A game-theoretic approach NeurIPS
    • 2024The max-min formulation of multi-objective reinforcement learning: From theory to a model-free algorithm ICML
  28. KAIST자연어처리·LLM

    오혜연U&I Lab

    관련 논문 2편비중 3%
    • 2025PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory ACL
    • 2024Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models EMNLP
  29. SNU머신러닝

    김용대IDEA Lab

    관련 논문 2편비중 8%
    • 2025TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification CVPR
    • 2023Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML
  30. SNU인간-AI 상호작용

    권가진CC Lab

    관련 논문 1편비중 5%
    • 2026Semantic Evaluation Metric Conforming to AMR Theory (SEMCAT): a New Similarity Metric for Abstract Meaning Representation Language Resources and Evaluation
  31. KU자연어처리·LLM

    이상근Data Intelligence Lab

    관련 논문 1편비중 3%
    • 2026PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters’ Lack of Knowledge ACL
  32. KU머신러닝

    이창희AIX

    관련 논문 1편비중 3%
    • 2026TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions ICLR
  33. SNU자연어처리·LLM

    황승원LDI Lab

    관련 논문 1편비중 1%
    • 2026Benchmarking Testing in Automated Theorem Proving ACL
  34. POSTECH머신러닝

    박상돈Trustworthy ML Lab

    관련 논문 2편비중 9%
    • 2024PAC Prediction Sets Under Label Shift ICLR
    • 2023ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles USENIX Security
  35. Yonsei머신러닝

    이기복Machine Learning Lab

    관련 논문 1편비중 5%
    • 2025A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning AISTATS
  36. POSTECH머신러닝

    이남훈Computational Optimization Lab

    관련 논문 1편비중 4%
    • 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification ICLR
  37. SNU데이터 마이닝

    박현우DIAL Lab

    관련 논문 1편비중 3%
    • 2025Theorizing Critical Locus of Supply: A Material Flow Perspective Journal of Supply Chain Management
  38. SNU머신러닝

    홍영준MLSC Lab

    관련 논문 1편비중 3%
    • 2025Improved H^1-Theory for a Higher-Order Water-Wave Model Water Waves
  39. SNU머신러닝

    이정우CML Lab

    관련 논문 1편비중 2%
    • 2025Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation ICML
  40. KAIST데이터 마이닝

    박찬영DSAIL

    관련 논문 1편비중 1%
    • 2025Disentangling Hyperedges through the Lens of Category Theory NeurIPS
  41. KAIST머신러닝

    안성수SPML Lab

    관련 논문 1편비중 2%
    • 2025High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction NeurIPS
  42. KAIST데이터 마이닝

    황지영Big Data Intelligence Lab

    관련 논문 1편비중 5%
    • 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning ICML
  43. SNU머신러닝

    문태섭M.IN.D Lab

    관련 논문 1편비중 2%
    • 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? – A Theoretical and Empirical Study NeurIPS
  44. KAIST컴퓨터 비전

    김현우MLV Lab

    관련 논문 1편비중 1%
    • 2024Understanding Multi-compositional Learning in Vision and Language Models via Category Theory ECCV
  45. KAIST데이터 마이닝

    박노성BigDyL

    관련 논문 1편비중 1%
    • 2024PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ICLR
  46. Yonsei머신러닝

    송경우MLAI Lab

    관련 논문 1편비중 1%
    • 2024First Step for Theoretical and Practical Foundations of Robust Visual Prompting IJCAI
  47. Yonsei자연어처리·LLM

    이동하DLI Lab

    관련 논문 1편비중 2%
    • 2024CACTUS: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory EMNLP Findings
  48. SNU컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 1편비중 2%
    • 2023FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions EMNLP
  49. SNUAI for Science

    김선BHI Lab

    관련 논문 1편비중 2%
    • 2023Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments PLOS Computational Biology
  50. KAIST머신러닝

    김기응AIPR Lab

    관련 논문 1편비중 4%
    • 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML
  51. KAISTAI for Science

    김우연Intelligent Chemistry Lab

    관련 논문 1편비중 3%
    • 2023Gaussian-Approximated Poisson Preconditioner for Iterative Diagonalization in Real-Space Density Functional Theory J. Phys. Chem. A
  52. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 1편비중 1%
    • 2023Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation CIKM
  53. Yonsei머신러닝

    조성배SCLAB

    관련 논문 1편비중 1%
    • 2023Computational approaches to Explainalbe Artificial Intelligence: Advances in theory, applications and trends Information Fusion