:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tanaka, Yusuke, Tanaka, Toshiyuki, Iwata, Tomoharu, Kurashima, Takeshi, Okawa, Maya, Akagi, Yasunori, Toda, Hiroyuki
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2206.12141
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-Learning for Neural Network-based Temporal Point Processes
by: Takimoto, Yoshiaki, et al.
Published: (2024)

Delta Matters: An Analytically Tractable Model for $β$-$δ$ Discounting Agents
by: Akagi, Yasunori, et al.
Published: (2025)

Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs
by: Tanaka, Yusuke, et al.
Published: (2024)

Analytically Tractable Models for Decision Making under Present Bias
by: Akagi, Yasunori, et al.
Published: (2023)

A Continuous-time Tractable Model for Present-biased Agents
by: Akagi, Yasunori, et al.
Published: (2024)

A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
by: Kim, Hideaki, et al.
Published: (2025)

Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
by: Nishi, Kento, et al.
Published: (2024)

CON: Continual Object Navigation via Data-Free Inter-Agent Knowledge Transfer in Unseen and Unfamiliar Places
by: Terashima, Kouki, et al.
Published: (2024)

Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transfer
by: Tsukahara, Kenta, et al.
Published: (2024)

K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
by: Kim, Hideaki, et al.
Published: (2025)

Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
by: Okawa, Maya, et al.
Published: (2023)

Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods
by: Yamasaki, Ryoya, et al.
Published: (2024)

Remarks on Loss Function of Threshold Method for Ordinal Regression Problem
by: Yamasaki, Ryoya, et al.
Published: (2024)

Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers
by: Yoshikawa, Yuya, et al.
Published: (2023)

Unified generalization analysis for physics informed neural networks
by: Hashimoto, Yuka, et al.
Published: (2026)

Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
by: Hashimoto, Yuka, et al.
Published: (2024)

Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
by: Iwata, Tomoharu, et al.
Published: (2025)

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
by: Park, Core Francisco, et al.
Published: (2024)

Universality of reservoir systems with recurrent neural networks
by: Yasumoto, Hiroki, et al.
Published: (2024)

Meta-learning for Positive-unlabeled Classification
by: Kumagai, Atsutoshi, et al.
Published: (2024)

Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
by: Xinming, Wang, et al.
Published: (2024)

Convergence Analysis of Blurring Mean Shift
by: Yamasaki, Ryoya, et al.
Published: (2024)

Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
by: Koshizuka, Takeshi, et al.
Published: (2023)

Swing-by Dynamics in Concept Learning and Compositional Generalization
by: Yang, Yongyi, et al.
Published: (2024)

When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
by: Obuchi, Tomoyuki, et al.
Published: (2024)

Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective
by: Tominaga, Tomu, et al.
Published: (2024)

Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
by: Ma, Chuang, et al.
Published: (2025)

MetaCaDI: A Meta-Learning Framework for Scalable Causal Discovery with Unknown Interventions
by: Ong, Hans Jarett, et al.
Published: (2025)

Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets
by: Yamashita, Tomoya, et al.
Published: (2025)

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
by: Takahashi, Hiroshi, et al.
Published: (2024)

Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
by: Khona, Mikail, et al.
Published: (2024)

Emergence of Hierarchical Emotion Organization in Large Language Models
by: Zhao, Bo, et al.
Published: (2025)

Meta-learning Representations for Learning from Multiple Annotators
by: Kumagai, Atsutoshi, et al.
Published: (2025)

EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
by: Zhao, Xuyang, et al.
Published: (2024)

Distributionally Robust Active Learning for Gaussian Process Regression
by: Takeno, Shion, et al.
Published: (2025)

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes
by: Gao, Jingyi, et al.
Published: (2024)

Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
by: Takahashi, Hiroshi, et al.
Published: (2025)

ICLR: In-Context Learning of Representations
by: Park, Core Francisco, et al.
Published: (2024)

Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq Datasets
by: Dradjat, Kevin, et al.
Published: (2026)

Learning Hamiltonian Density Using DeepONet
by: Xu, Baige, et al.
Published: (2025)