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大学 × Machine Learning

東北大学

Machine Learning / 2022–2026 LIVE

掲載論文 28 本

論文一覧

28 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 28 本と一致しています。

2026年

  1. 2026 · ICLR

    Do We Really Need Permutations? Impact of Model Width on Linear Mode Connectivity

    掲載ID: iclr:2026:5eceaacf571380e70c1052ef6bd58cb3

    Akira Ito, Masanori Yamada, Daiki Chijiwa, Atsutoshi Kumagai

    Machine Learning

    東北大学

  2. 2026 · ICLR

    Frequency Bands in RoPE: Base Frequency and Context Length Shape the Interpolation–Extrapolation Trade-off

    掲載ID: iclr:2026:993dbaec0418a6449090f1debbcb8844

    Yui Oka, Itsumi Saito, Kyosuke Nishida, Kuniko Saito

    Machine Learning

    東北大学

  3. 2026 · ICLR

    Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork

    掲載ID: iclr:2026:c615f9e5ad3b90ad58af2cc529bc1528

    Lu Sun, Jun Sakuma

    Machine Learning

    東京科学大学 / 東北大学

  4. 2026 · ICLR

    Neuron-Level Analysis of Cultural Understanding in Large Language Models

    掲載ID: iclr:2026:d50110d749bb4b1a92baec3481655512

    Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala, Hitomi Yanaka [東京大学] [東北大学]

    Machine Learning

    東北大学 / 東京大学

  5. 2026 · ICLR

    Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

    掲載ID: iclr:2026:ab5492f57995409351cbf1a1cdf5f1a4

    Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota

    Machine Learning

    東京科学大学 / 東北大学

  6. 2026 · ICLR

    Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning

    掲載ID: iclr:2026:6f9f3e0b4d292310d3e5eeec312d3b98

    Kazuki Yano, Shun Kiyono, Sosuke Kobayashi, Sho Takase, Jun Suzuki

    Machine Learning

    東北大学

  7. 2026 · ICML

    Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization

    掲載ID: openreview:fyae4jq9lw

    Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki

    Machine Learning

    東北大学 / 電気通信大学

  8. 2026 · ICML

    Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities

    掲載ID: openreview:eirv1oeo7f

    Shinji Ito, Taira Tsuchiya, Kaito Ariu, Kenshi Abe

    Machine Learning

    東北大学 / 東京大学

  9. 2026 · ICML

    Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction

    掲載ID: openreview:2znijsn2jc

    Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xiaohan Yu, Lin Gu, Gim Hee Lee

    Machine Learning

    東北大学

2025年

  1. 2025 · ICLR

    BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

    掲載ID: iclr:2025:a6a90bcc2aa470c3871b2d39a67d26e8

    Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen GONG, James Hoang, Armel Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, Binyuan Hui, Niklas Muennighoff, David Lo, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro Von Werra

    Machine Learning

    東北大学

  2. 2025 · ICLR

    Bridging the Data Provenance Gap Across Text, Speech, and Video

    掲載ID: iclr:2025:97b983c974551153d20ddfabb62a5203

    Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Naana Obeng-Marnu, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad Alghamdi, Minh Chien Vu, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, Deividas Mataciunas, Tobin South, Jianguo Zhang, Ariel N. Lee, Campbell Lund, Christopher Klamm, Damien Sileo, Diganta Misra, Enrico Shippole, Kevin Klyman, Lester James V. Miranda, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Vipul Gupta, Vivek Sharma, Xuhui Zhou, Caiming Xiong, Luis Villa, Stella R Biderman, Alex Pentland, Sara Hooker, Jad Kabbara

    Machine Learning

    東北大学

  3. 2025 · ICLR

    Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization

    掲載ID: iclr:2025:d24b7366d714b09a977946ef0d9bf3ad

    Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki

    Machine Learning

    東京科学大学 / 東北大学

  4. 2025 · ICLR

    GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching

    掲載ID: iclr:2025:637a456d89289769ac1ab29617ef7213

    Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama

    Machine Learning

    東北大学

  5. 2025 · ICLR

    MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines

    掲載ID: iclr:2025:04e6525463afaa460b5a2e6868b18f18

    Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, jiayi lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Gao Peng, Yu Liu, Chunyuan Li, Hongsheng Li

    Machine Learning

    東北大学

  6. 2025 · ICLR

    Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches

    掲載ID: iclr:2025:2567c95fd41459a98a73ba893775d22a

    Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi

    Machine Learning

    東北大学

  7. 2025 · ICLR

    SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches

    掲載ID: iclr:2025:159511050630689045bf5593e74b13cc

    Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi

    Machine Learning

    京都大学 / 東北大学

  8. 2025 · ICLR

    UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation

    掲載ID: iclr:2025:c4800e97411c7f199b2895425f2933a5

    Huimin LU, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

    Machine Learning

    東北大学 / 東京大学

  9. 2025 · ICLR

    What's New in My Data? Novelty Exploration via Contrastive Generation

    掲載ID: iclr:2025:e2c39f96da9ec114e0b5fbd639139035

    Masaru Isonuma, Ivan Titov

    Machine Learning

    東北大学

  10. 2025 · ICML

    Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection

    掲載ID: pmlr:v267:liu25bo

    Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani

    Machine Learning

    東北大学

  11. 2025 · ICML

    You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption

    掲載ID: pmlr:v267:ran25a

    Weihang Ran, Wei Yuan, Yinqiang Zheng

    Machine Learning

    東北大学 / 東京大学

  12. 2025 · NeurIPS

    Probing Neural Combinatorial Optimization Models

    掲載ID: neurips:2025:becf96dcee66f9df08169e4c96bbbd8c

    Zhiqin Zhang, Yining Ma, Zhiguang Cao, Hoong Chuin Lau

    Machine Learning

    東北大学

  13. 2025 · NeurIPS

    Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders

    掲載ID: neurips:2025:fae3fd16e764af14e23b53fdd7632457

    Mengyu Ye, Jun Suzuki, Tatsuro Inaba, Tatsuki Kuribayashi

    Machine Learning

    東北大学

2024年

  1. 2024 · ICLR

    Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps

    掲載ID: iclr:2024:61a18c8a7a1ea7445375dd7255905bc3

    Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

    Machine Learning

    東北大学

  2. 2024 · ICLR

    Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding

    掲載ID: iclr:2024:c428adf74782c2092d254329b6b02482

    Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono

    Machine Learning

    大阪大学 / 東北大学

  3. 2024 · ICLR

    PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning

    掲載ID: iclr:2024:16bce4070c4e23434451b180348e3814

    Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena Hwang, Xiang Lorraine Li, Hirona Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

    Machine Learning

    東北大学

  4. 2024 · NeurIPS

    Zipfian Whitening

    掲載ID: neurips:2024:dd1fef536655685898a6602bfbf16857

    Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira

    Machine Learning

    京都大学 / 東北大学

2023年

  1. 2023 · NeurIPS

    InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion

    掲載ID: neurips:2023:f2ea1943896474b7cd9796b93e526f6f

    Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama

    Machine Learning

    東北大学

2022年

  1. 2022 · NeurIPS

    Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning

    掲載ID: neurips:2022:7d535a224c8ae54ba75bac0457b6b279

    Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani

    Machine Learning

    東北大学

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