ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

Machine Learning

2025 · 3,703 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2025 · ICLR
MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI
Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MiniPLM: Knowledge Distillation for Pre-training Language Models
Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Minimal Impact ControlNet: Advancing Multi-ControlNet Integration
Shikun Sun, Min Zhou, Zixuan Wang, Xubin Li, Tiezheng Ge, Zijie Ye, Xiaoyu Qin, Junliang Xing, Bo Zheng, Jia Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
Theo Bourdais, Houman Owhadi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Minimalistic Predictions for Online Class Constraint Scheduling
Dorian Guyot, Alexandra Lassota
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Minimax Optimal Reinforcement Learning with Quasi-Optimism
Harin Lee, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, christian simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Du, Lin Yang, Ruosong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
Sedigheh Eslami, Gerard de Melo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Memorization in Language Models
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian Foster, Michael W Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Arik, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee, Jinwook Jung, Sungyong Baik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
Juntao Dai, Taiye Chen, Yaodong Yang, Qian Zheng, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating Spurious Correlations in Zero-Shot Multimodal Models
Shenyu Lu, Junyi Chai, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang, Junyi Li, Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
Pengxiang Li, Lu Yin, Shiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Andy Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Qizhe Shieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
Anvith Thudi, Chris Maddison
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, XIAOJUAN QI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mixture of Attentions For Speculative Decoding
Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Jun Luo, Chen Chen, Shandong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mixture of In-Context Prompters for Tabular PFNs
Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mixture of Parrots: Experts improve memorization more than reasoning
Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham Kakade, Eran Malach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mixture-of-Agents Enhances Large Language Model Capabilities
Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
Qingming LIU, Yuan Liu, Jiepeng Wang, Xianqiang Lyu, Peng Wang, Wenping Wang, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin, Shangqian Gao, James Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts
Peng Jin, Bo Zhu, Yuan Li, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling
Rachel Teo, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
Sheng Wang, Liheng Chen, Pengan CHEN, Jingwei DONG, Boyang XUE, Jiyue Jiang, Lingpeng Kong, Chuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Modality-Specialized Synergizers for Interleaved Vision-Language Generalists
Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model Equality Testing: Which Model is this API Serving?
Irena Gao, Percy Liang, Carlos Guestrin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model Risk-sensitive Offline Reinforcement Learning
Gwangpyo Yoo, Honguk Woo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model merging with SVD to tie the Knots
George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model-Free Offline Reinforcement Learning with Enhanced Robustness
Chi Zhang, Zain Ulabedeen Farhat, George Atia, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
Kwanyoung Park, Youngwoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
Zhiyong Wang, Dongruo Zhou, John C.S. Lui, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Modeling Complex System Dynamics with Flow Matching Across Time and Conditions
Martin Rohbeck, Edward De Brouwer, Charlotte Bunne, Jan-Christian Huetter, Anne Biton, Kelvin Chen, Aviv Regev, Romain Lopez
Machine Learning
日本大学: 大阪大学
2025 · ICLR
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang
Machine Learning
日本大学: 東京大学
2025 · ICLR
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
Michael Zhang, W. Bradley Knox, Eunsol Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang, Biwei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Modeling dynamic social vision highlights gaps between deep learning and humans
Kathy Garcia, Emalie McMahon, Colin Conwell, Michael Bonner, Leyla Isik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, shu wu, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, trevor darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
Qing Wu, Chenhe Du, Xuanyu Tian, Jingyi Yu, Yuyao Zhang, Hongjiang Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Monet: Mixture of Monosemantic Experts for Transformers
Jungwoo Park, Young Jin Ahn, Kee-Eung Kim, Jaewoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Monitoring Latent World States in Language Models with Propositional Probes
Jiahai Feng, Stuart Russell, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
Zijing Shi, Meng Fang, Ling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li, Zichun Yu, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Moral Alignment for LLM Agents
Elizaveta Tennant, Stephen Hailes, Mirco Musolesi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
Sagi Shaier, Francisco Pereira, Katharina Kann, Lawrence E Hunter, Matt Jones
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
Aaron J. Li, Satyapriya Krishna, Hima Lakkaraju
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Morphing Tokens Draw Strong Masked Image Models
Taekyung Kim, Byeongho Heo, Dongyoon Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MorphoDiff: Cellular Morphology Painting with Diffusion Models
Zeinab Navidi, Jun Ma, Esteban Miglietta, Le Liu, Anne Carpenter, Beth Cimini, Benjamin Haibe-Kains, BO WANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MotherNet: Fast Training and Inference via Hyper-Network Transformers
Andreas Mueller, Carlo Curino, Raghu Ramakrishnan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
Yunyue Wei, Shanning Zhuang, Vincent Zhuang, Yanan Sui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs
Qi Wu, Yubo Zhao, Yifan Wang, Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
Pengyang Ling, Jiazi Bu, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Tong Wu, Huaian Chen, Jiaqi Wang, Yi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer
Yilin Wang, chuan guo, Yuxuan Mu, Muhammad Gohar Javed, Xinxin Zuo, Juwei Lu, Hai Jiang, Li Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences
Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory
Junyeong Park, Junmo Cho, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
Julie Kallini, Shikhar Murty, Christopher Manning, Christopher Potts, Róbert Csordás
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling
Nguyen Thach, Patrick Habecker, Anika Eisenbraun, W. Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MuPT: A Generative Symbolic Music Pretrained Transformer
Xingwei Qu, yuelin bai, Yinghao MA, Ziya Zhou, Ka Man Lo, JIAHENG LIU, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Wenhao Huang, Jie Fu, Ge Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM
Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Fei Wang, XINGYU FU, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Dimensional Conformal Prediction
Yam Tawachi, Bracha Laufer-Goldshtein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Field Adaptive Retrieval
Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Label Node Classification with Label Influence Propagation
Yifei Sun, Zemin Liu, Bryan Hooi, Yang Yang, Rizal Fathony, Jia Chen, Bingsheng He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Label Test-Time Adaptation with Bound Entropy Minimization
Xiangyu Wu, Feng Yu, Yang Yang, Qing-Guo Chen, Jianfeng Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian Theis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Perspective Data Augmentation for Few-shot Object Detection
Anh-Khoa Nguyen Vu, Quoc Truong Truong, Vinh-Tiep Nguyen, Thanh Ngo, Thanh-Toan Do, Tam Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
Guojin Zhong, pan wang, Jin Yuan, Zhiyong Li, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Reward as Condition for Instruction-based Image Editing
Xin Gu, Ming Li, Libo Zhang, Fan Chen, Longyin Wen, Tiejian Luo, Sijie Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Robot Motion Planning with Diffusion Models
Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Scale Fusion for Object Representation
Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-Task Dense Predictions via Unleashing the Power of Diffusion
Yuqi Yang, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-agent cooperation through learning-aware policy gradients
Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake A Richards, Guillaume Lajoie, Blaise Aguera y Arcas, Joao Sacramento
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-domain Distribution Learning for De Novo Drug Design
Arne Schneuing, Ilia Igashov, Adrian Dobbelstein, Thomas Castiglione, Michael Bronstein, Bruno Correia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
Shijie Liu, Andrew Cullen, Paul Montague, Sarah Erfani, Benjamin Rubinstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
Zhi Gao, Bofei Zhang, Pengxiang Li, Xiaojian Ma, Tao Yuan, Yue Fan, Yuwei Wu, Yunde Jia, Song-Chun Zhu, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-modal brain encoding models for multi-modal stimuli
SUBBA REDDY OOTA, Khushbu Pahwa, mounika marreddy, Maneeesh Singh, Manish Gupta, Raju Surampudi Bapi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-objective Differentiable Neural Architecture Search
Rhea Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-objective antibody design with constrained preference optimization
Milong Ren, ZaiKai He, Haicang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multi-session, multi-task neural decoding from distinct cell-types and brain regions
Mehdi Azabou, Krystal Pan, Vinam Arora, Ian Knight, Eva Dyer, Blake A Richards
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Vighnesh Subramaniam, Yilun Du, Joshua B Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multilevel Generative Samplers for Investigating Critical Phenomena
Ankur Singha, Elia Cellini, Kim A. Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）