프론티어 AI 모델 경쟁이 치열해지며 머신러닝 및 AI 관련 연구 논문이 매일 폭발적으로 증가하고 있습니다. 최근 5일(4월 14일~20일) 동안 arXiv의 머신러닝 카테고리에만 총 896편의 새로운 논문이 올라왔으며, 하루 평균 약 180편에 달하는 수치입니다. 이는 LLM(대형 언어 모델) 미세조정, 보상 해킹 방지, 신약 개발 등 다양한 산업계 실무 응용 연구가 전 세계적으로 매우 빠르게 진행되고 있음을 시사합니다.
번역된 본문
기계 학습(Machine Learning) 저자 및 최근 제출된 논문 목록
날짜: 2026년 4월 20일(월), 17일(금), 16일(목), 15일(수), 14일(화)
오늘 새로운 변경 사항 보기
총 896개 항목 : 1-50 51-100 101-150 151-200 ... 851-896
페이지당 최대 50개 항목 표시: 더 적게 | 더 많이 | 모두
2026년 4월 20일 (136개 항목 중 첫 50개 표시)
[1] arXiv:2604.16282 [ pdf , html , other ]
제목: 관측된 확률적 동역학을 통한 오토인코더의 기하학적 정규화 (Geometric regularization of autoencoders via observed stochastic dynamics)
저자: Sean Hill, Felix X.-F. Ye
주제: 기계 학습 (cs.LG); 동역학 (math.DS); 확률론 (math.PR)
[2] arXiv:2604.16279 [ pdf , html , other ]
제목: 소분자 신약 설계를 위한 대형 언어 모델 역량 발전 평가 (Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design)
저자: Shriram Chennakesavalu 외 다수
주제: 기계 학습 (cs.LG); 화학 물리학 (physics.chem-ph)
[3] arXiv:2604.16265 [ pdf , html , other ]
제목: FL-MHSM: 지역 규모의 홍수-산사태 복합 재해 취약성 매핑을 위한 공간 적응형 융합 및 앙상블 학습 (FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale)
저자: Aswathi Mundayatt, Jaya Sreevalsan-Nair
주제: 기계 학습 (cs.LG)
[4] arXiv:2604.16259 [ pdf , html , other ]
제목: 분포 선명화(Distribution Sharpening)를 넘어서: 작업 보상(Task Rewards)의 중요성
저자: Sarthak Mittal 외 다수
주제: 기계 학습 (cs.LG); 인공지능 (cs.AI)
[5] arXiv:2604.16247 [ pdf , html , other ]
제목: 구조 보존 및 정보 균형 정규화를 통한 관절 중심 이중 대조 정렬 (Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization)
저자: Habibeh Naderi 외 다수
주제: 기계 학습 (cs.LG); 인공지능 (cs.AI)
[6] arXiv:2604.16242 [ pdf , html , other ]
제목: 그래디언트 핑거프린트(Gradient Fingerprints)를 활용한 보상 해킹(Reward Hacking) 탐지 및 억제
저자: Songtao Wang 외 다수
주제: 기계 학습 (cs.LG); 계산 언어학 (cs.CL)
[7] arXiv:2604.16238 [ pdf , html , other ]
제목: 확률론적 편향 보정을 통한 AI 및 동역학적 계절 내 예측 향상 (Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction)
저자: Hannah Guan 외 다수
주제: 기계 학습 (cs.LG); 대기 및 해양 물리학 (physics.ao-ph); 기계 학습 (stat.ML)
[8] arXiv:2604.16232 [ pdf , html , other ]
제목: 잠재 문법 흐름(Latent Grammar Flow)을 활용한 신경-기호적 상미분방정식(ODE) 발견 (Neuro-Symbolic ODE Discovery with Latent Grammar Flow)
저자: Karin Yu 외 다수
주제: 기계 학습 (cs.LG); 인공지능 (cs.AI); 계산 공학, 금융 및 과학 (cs.CE); 기호 계산 (cs.SC)
[9] arXiv:2604.16220 [ pdf , html , other ]
제목: 지도상의 최적 운송(OT): 지리 공간에서의 도메인 변화 정량화 (OT on the Map: Quantifying Domain Shifts in Geographic Space)
저자: Haoran Zhang 외 다수
주제: 기계 학습 (cs.LG)
[10] arXiv:2604.16197 [ pdf , html , other ]
제목: 확장 가능한 데이터 기여도 귀속 및 가치 평가를 위한 대형 언어 모델 리드아웃 스케치 (Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation)
저자: Yide Ran 외 다수
참고: 54페이지
주제: 기계 학습 (cs.LG)
[11] arXiv:2604.16182 [ pdf , html , other ]
제목: 생성 모델을 활용한 암호화폐 합성 데이터 (Synthetic data in cryptocurrencies using generative models)
저자: André Saimon S. Sousa 외 다수
주제: 기계 학습 (cs.LG); 인공지능 (cs.AI)
[12] arXiv:2604.16171 [ pdf , html , other ]
제목: JumpLoRA: 대형 언어 모델의 지속 학습을 위한 희소 어댑터 (Sparse Adapters) (JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models)
저자: Alexandra Dragomir 외 다수
주제: 기계 학습 (cs.LG); 인공지능 (cs.AI); 계산 언어학 (cs.CL)
Machine Learning Authors and titles for recent submissions Mon, 20 Apr 2026 Fri, 17 Apr 2026 Thu, 16 Apr 2026 Wed, 15 Apr 2026 Tue, 14 Apr 2026 See today's new changes Total of 896 entries : 1-50 51-100 101-150 151-200 ... 851-896 Showing up to 50 entries per page: fewer | more | all Mon, 20 Apr 2026 (showing first 50 of 136 entries ) [1] arXiv:2604.16282 [ pdf , html , other ] Title: Geometric regularization of autoencoders via observed stochastic dynamics Sean Hill , Felix X.-F. Ye Subjects: Machine Learning (cs.LG) ; Dynamical Systems (math.DS); Probability (math.PR) [2] arXiv:2604.16279 [ pdf , html , other ] Title: Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design Shriram Chennakesavalu , Kirill Shmilovich , Hayley Weir , Colin Grambow , John Bradshaw , Patricia Suriana , Chen Cheng , Kangway Chuang Subjects: Machine Learning (cs.LG) ; Chemical Physics (physics.chem-ph) [3] arXiv:2604.16265 [ pdf , html , other ] Title: FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale Aswathi Mundayatt , Jaya Sreevalsan-Nair Subjects: Machine Learning (cs.LG) [4] arXiv:2604.16259 [ pdf , html , other ] Title: Beyond Distribution Sharpening: The Importance of Task Rewards Sarthak Mittal , Leo Gagnon , Guillaume Lajoie Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) [5] arXiv:2604.16247 [ pdf , html , other ] Title: Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization Habibeh Naderi , Behrouz Haji Soleimani , Stan Matwin Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) [6] arXiv:2604.16242 [ pdf , html , other ] Title: Detecting and Suppressing Reward Hacking with Gradient Fingerprints Songtao Wang , Quang Hieu Pham , Fangcong Yin , Xinpeng Wang , Jocelyn Qiaochu Chen , Greg Durrett , Xi Ye Subjects: Machine Learning (cs.LG) ; Computation and Language (cs.CL) [7] arXiv:2604.16238 [ pdf , html , other ] Title: Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction Hannah Guan , Soukayna Mouatadid , Paulo Orenstein , Judah Cohen , Haiyu Dong , Zekun Ni , Jeremy Berman , Genevieve Flaspohler , Alex Lu , Jakob Schloer , Joshua Talib , Jonathan A. Weyn , Lester Mackey Subjects: Machine Learning (cs.LG) ; Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (stat.ML) [8] arXiv:2604.16232 [ pdf , html , other ] Title: Neuro-Symbolic ODE Discovery with Latent Grammar Flow Karin Yu , Eleni Chatzi , Georgios Kissas Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Symbolic Computation (cs.SC) [9] arXiv:2604.16220 [ pdf , html , other ] Title: OT on the Map: Quantifying Domain Shifts in Geographic Space Haoran Zhang , Livia Betti , Konstantin Klemmer , Esther Rolf , David Alvarez-Melis Subjects: Machine Learning (cs.LG) [10] arXiv:2604.16197 [ pdf , html , other ] Title: Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Yide Ran , Jianwen Xie , Minghui Wang , Wenjin Zheng , Denghui Zhang , Chuan Li , Zhaozhuo Xu Comments: 54 pages Subjects: Machine Learning (cs.LG) [11] arXiv:2604.16182 [ pdf , html , other ] Title: Synthetic data in cryptocurrencies using generative models André Saimon S. Sousa , Otto Pires , Frank Acasiete , Oscar M. Granados , Valéria Loureiro da Silva , Hugo Saba Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) [12] arXiv:2604.16171 [ pdf , html , other ] Title: JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models Alexandra Dragomir , Ioana Pintilie , Antonio Barbalau , Marius Dragoi , Florin Brad , Cristian Daniel Paduraru , Alexandru Tifrea , Elena Burceanu , Radu Tudor Ionescu Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI); Computation and Language (cs.CL) [13] arXiv:2604.16145 [ pdf , html , other ] Title: Training Time Prediction for Mixed Precision-based Distributed Training Minchul Kang , Changyong Shin , Jinwoo Jeong , Hyunho Lee , Younghun Go , Gyeongmin Kim , Gyeongsik Yang , Chuck Yoo Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF) [14] arXiv:2604.16123 [ pdf , html , other ] Title: Tabular foundation models for in-context prediction of molecular properties Karim K. Ben Hicham , Jan G. Rittig , Martin Grohe , Alexander Mitsos Subjects: Machine Learning (cs.LG) ; Chemical Physics (physics.chem-ph) [15] arXiv:2604.16119 [ pdf , html , other ] Title: Univariate Channel Fusion for Multivariate Time Series Classification Fernando Moro , Vinicius M. A. Souza Comments: International Conference on Pattern Recognition (ICPR 2026) Subjects: Machine Learning (cs.LG) [16] arXiv:2604.16117 [ pdf , html , other ] Title: SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context Alina Deriyeva , Jesper Dannath , Benjamin Paassen Comments: In: Cristea, A.I., Walker, E., Lu, Y., Santos, O.C., Isotani, S. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED. AIED 2025. Communications in Computer and Information Science, vol 2590 . Springer, Cham Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) [17] arXiv:2604.16111 [ pdf , html , other ] Title: Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model Jean Tarbouriech , Matteo Pirotta , Michal Valko , Alessandro Lazaric Comments: Accepted at the 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML) [18] arXiv:2604.16087 [ pdf , other ] Title: The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback Côme Fiegel , Pierre Ménard , Tadashi Kozuno , Michal Valko , Vianney Perchet Comments: Accepted at the 42nd International Conference on Machine Learning (ICML 2025) Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML) [19] arXiv:2604.16084 [ pdf , html , other ] Title: Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting Weijiang Xiong , Robert Fonod , Nikolas Geroliminis Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) [20] arXiv:2604.16076 [ pdf , html , other ] Title: Prototype-Grounded Concept Models for Verifiable Concept Alignment Stefano Colamonaco , David Debot , Pietro Barbiero , Giuseppe Marra Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE) [21] arXiv:2604.16067 [ pdf , html , other ] Title: AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning Guransh Singh Subjects: Machine Learning (cs.LG) ; Computer Vision and Pattern Recognition (cs.CV) [22] arXiv:2604.16008 [ pdf , html , other ] Title: Corner Reflector Array Jamming Discrimination Using Multi-Dimensional Micro-Motion Features with Frequency Agile Radar Jie Yuan , Lei Wang , Yanhao Wang , Yimin Liu Subjects: Machine Learning (cs.LG) [23] arXiv:2604.15977 [ pdf , html , other ] Title: Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel Marcin Hoffmann , Paweł Kryszkiewicz Comments: Accepted for publication in IEEE Transactions on Vehicular Technology Subjects: Machine Learning (cs.LG) [24] arXiv:2604.15961 [ pdf , html , other ] Title: Evaluating quality in synthetic data generation for large tabular health datasets Jean-Baptiste Escudié , Benjamin Barnes , Stefan Meisegeier , Klaus Kraywinkel , Fabian Prasser , Nils Körber Subjects: Machine Learning (cs.LG) [25] arXiv:2604.15959 [ pdf , html , other ] Title: Multi-Objective Bayesian Op