東北大学

Machine Learning / 2021–2025 確定版

掲載論文 20 本

論文一覧

20 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 20 本と一致しています。

2025年

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
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
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
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
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
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
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
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
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
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
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
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
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

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
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
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
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

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

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

2021年

2021 · ICLR
Evaluation of Similarity-based Explanations
掲載ID: openreview:9uvhpyqwzm_
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
Machine Learning
大阪大学 / 東北大学

掲載対象外の論文や未反映の論文は、この一覧には含まれません。