大学 × Machine Learning
大阪大学
Machine Learning / 2021–2025 確定版
掲載論文 45 本
論文一覧
45 本
このEditionのランキングに掲載している論文です。同じ大学の複数著者による共著は1本にまとめています。
ランキングの対象論文 45 本と一致しています。
2025年
- Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting
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iclr:2025:90d8a49ce32f7600170a2116da8443e8 - GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
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iclr:2025:a924b7178e5975dfed1de235f0b72973 - Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension
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iclr:2025:b87d9d19ecb5927f7e18c537908610ef - Modeling Complex System Dynamics with Flow Matching Across Time and Conditions
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iclr:2025:206b764b00195b8c896c5af8bde80726 - Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities
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iclr:2025:f3342358d0792ea201dc86d69570946b - Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
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iclr:2025:3a5b75ce6cbd3aaaa32d6e935ffc4cff - Rethinking the role of frames for SE(3)-invariant crystal structure modeling
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iclr:2025:187d94b3c93343f0e925b5cf729eadd5 - Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling
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iclr:2025:0cd1eec0eeaf5ce1bf6d8875a7c1d095 - SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
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iclr:2025:f1ee1cca0721de55bb35cf28ab95e1b4 - Distributionally Robust Active Learning for Gaussian Process Regression
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pmlr:v267:takeno25a - PAC-Bayes Analysis for Recalibration in Classification
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pmlr:v267:fujisawa25a - EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
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neurips:2025:d51ce6040fe3dafd260411593f05a1fa - Forecasting in Offline Reinforcement Learning for Non-stationary Environments
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neurips:2025:0bc91addac6b72fb970c678a936dacf0 - Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
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neurips:2025:47175e4d715132f4d59f891d23eeae73 - Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
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neurips:2025:b6edb87876bec4ac2260bffa083cb992 - Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
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neurips:2025:7d535a224c8ae54ba75bac0457b6b279 - RAPTR: Radar-based 3D Pose Estimation using Transformer
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neurips:2025:fb074972f6668f5be97be299b8e64a96 - Scalable Valuation of Human Feedback through Provably Robust Model Alignment
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neurips:2025:c2c4c24889d8d0e4b0b0ce4a98fd56ef
2024年
- Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
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iclr:2024:c428adf74782c2092d254329b6b02482 - Criterion Collapse and Loss Distribution Control
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pmlr:v235:holland24a - Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
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pmlr:v235:shirakawa24a - Position: Towards Implicit Prompt For Text-To-Image Models
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pmlr:v235:yang24o - Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
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pmlr:v235:lu24l - SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
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pmlr:v235:weissenbacher24a - Understanding Diffusion Models by Feynman’s Path Integral
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pmlr:v235:hirono24a - Flipping-based Policy for Chance-Constrained Markov Decision Processes
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neurips:2024:760b5def8dcb1156aac454e9c0f5f406 - Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
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neurips:2024:e1d40e928125c515099a3fdb75f06a50 - Information-theoretic Generalization Analysis for Expected Calibration Error
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neurips:2024:9961e42624a6c083279303767c73269d - Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
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neurips:2024:e142fd2b70f10db2543c64bca1417de8 - Soft ascent-descent as a stable and flexible alternative to flooding
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neurips:2024:430894999584d0bd358611e2ecf00b15
2023年
- Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
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openreview:d8mr8lkiz3n - Average Sensitivity of Decision Tree Learning
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openreview:boik01yhssb - FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
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openreview:tlsckvhccr - Fooling SHAP with Stealthily Biased Sampling
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openreview:j4mjjotsauh - General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
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neurips:2023:b3e866c228f8f4ea18021ae63aea5453 - Many-body Approximation for Non-negative Tensors
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neurips:2023:ea94957d81b1c1caf87ef5319fa6b467 - Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
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neurips:2023:5d4cd12ef6efedbf26b69b410f1f7d67 - Time-Independent Information-Theoretic Generalization Bounds for SGLD
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neurips:2023:19dbb86f771ddbf9986cf0c9b1c61c17
2022年
2021年
- Evaluation of Similarity-based Explanations
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openreview:9uvhpyqwzm_ - Post-selection inference with HSIC-Lasso
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pmlr:v139:freidling21a - Characterizing the risk of fairwashing
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neurips:2021:7caf5e22ea3eb8175ab518429c8589a4 - Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
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neurips:2021:8b519f198dd26772e3e82874826b04aa - SSMF: Shifting Seasonal Matrix Factorization
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neurips:2021:1fb2a1c37b18aa4611c3949d6148d0f8 - Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
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neurips:2021:adf8d7f8c53c8688e63a02bfb3055497
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