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
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng CHENG, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Rushang Karia, Daniel Bramblett, Daksh Dobhal, Siddharth Srivastava
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Autoregressive Pretraining with Mamba in Vision
Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan Yuille, Cihang Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Autoregressive Video Generation without Vector Quantization
Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi, Xinlong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K Wong, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri, Bartłomiej Cupiał, Samuel Coward, Ulyana Piterbarg, Maciej Wołczyk, Akbir Khan, Eduardo Pignatelli, Łukasz Kuciński, Lerrel Pinto, Rob Fergus, Jakob Foerster, Jack Parker-Holder, Tim Rocktaeschel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
Aly Lidayan, Michael Dennis, Stuart Russell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BANGS: Game-theoretic Node Selection for Graph Self-Training
Fangxin Wang, Kay Liu, Sourav Medya, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng, Ben Zhou, Weidong Lin, Dan Roth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
Zhengrui Guo, Fangxu Zhou, Wei Wu, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BOND: Aligning LLMs with Best-of-N Distillation
Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot-Desenonges, Johan Ferret, Nino Vieillard, Alexandre Rame, Bobak Shahriari, Sarah Perrin, Abram Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BP-Modified Local Loss for Efficient Training of Deep Neural Networks
REN Lianhai, Qianxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
Parsa Vahidi, Omid G. Sani, Maryam Shanechi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin SU, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Liu Haisu, Quan Shi, Zachary Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Arik, Danqi Chen, Tao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
Hao Yuan, wenli ouyang, Changwen Zhang, Yong Sun, Liming Gong, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
Keyi Shen, Jiangwei Yu, Jose Barreiros, Huan Zhang, Yunzhu Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Backdooring Vision-Language Models with Out-Of-Distribution Data
Weimin Lyu, Michael Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Backtracking Improves Generation Safety
Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel Bikel, Jason E Weston, Eric Michael Smith
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning
Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka, Johannes Brunnemann, Jörg Eiden, Arne Speerforck, Lars Mikelsons
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Balanced Ranking with Relative Centrality: A multi-core periphery perspective
Chandra Sekhar Mukherjee, Jiapeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Balancing Act: Diversity and Consistency in Large Language Model Ensembles
Ahmed Abdulaal, Chen Jin, Nina Montaña-Brown, Aryo Pradipta Gema, Daniel Castro, Daniel Alexander, Philip Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Balancing Bias in Two-sided Markets for Fair Stable Matchings
Siyuan Wu, Leong Hou U, Panagiotis Karras
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bandit Learning in Matching Markets with Indifference
Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C.S. Lui, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Analysis of Combinatorial Gaussian Process Bandits
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Experimental Design Via Contrastive Diffusions
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior
Yuliang Xu, Jian Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Alan Amin, Nate Gruver, Yilun Kuang, Yucen Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Optimization via Continual Variational Last Layer Training
Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Regularization of Latent Representation
Chukwudi Paul Obite, Zhi Chang, Keyan Wu, Shiwei Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli, Bernardo Grau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui, Ziyang Zhang, Guangzhi Sun, Wen Wu, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
Parham Rezaei, Farzan Farnia, Cheuk Ting Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
Wesley Suttle, Aamodh Suresh, Carlos Nieto-Granda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BenTo: Benchmark Reduction with In-Context Transferability
Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Benchmarking Agentic Workflow Generation
Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Benchmarking LLMs' Judgments with No Gold Standard
Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, HUI WANG, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Better Instruction-Following Through Minimum Bayes Risk
Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Better autoregressive regression with LLMs via regression-aware fine-tuning
Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback
Sanjiban Choudhury, Paloma Sodhi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beware of Calibration Data for Pruning Large Language Models
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Justin Deschenaux, Caglar Gulcehre
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A Hamprecht
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation
Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
Jianqun Zhou, Yuanlei Zheng, Wei Chen, Qianqian Zheng, Shang Zeyuan, Wei Zhang, Rui Meng, Xiaoyu Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality
Ge Ya Luo, Gian M Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks
Manohar Kaul, Aditya Saibewar, Sadbhavana Babar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
Chenze Shao, Fandong Meng, Jie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Random Augmentations: Pretraining with Hard Views
Fabio Ferreira, Ivo Rapant, Jörg Franke, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Random Masking: When Dropout meets Graph Convolutional Networks
Yuankai Luo, Xiao-Ming Wu, Hao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability
Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
Sandeep Silwal, David Woodruff, Qiuyi (Richard) Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond single neurons: population response geometry in digital twins of mouse visual cortex
Dario Liscai, Emanuele Luconi, Alessandro Marin Vargas, Alessandro Sanzeni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela Stoian, Eleonora Giunchiglia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
Heyang Zhao, Xingrui Yu, David Bossens, Ivor Tsang, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Shaozhe Hao, Xuantong LIU, Xianbiao Qi, Shihao Zhao, Bojia Zi, Rong Xiao, Kai Han, Kwan-Yee K Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bias Mitigation in Graph Diffusion Models
Meng Yu, Kun Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
Yuejiang Liu, Jubayer Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
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
日本大学: 東北大学
2025 · ICLR
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bilinear MLPs enable weight-based mechanistic interpretability
Michael Pearce, Thomas Dooms, Alice Rigg, Jose Oramas, Lee Sharkey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Binary Losses for Density Ratio Estimation
Werner Zellinger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BingoGuard: LLM Content Moderation Tools with Risk Levels
Fan Yin, Philippe Laban, XIANGYU PENG, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
Yusuf Roohani, Andrew Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics
Tianfang Zhu, Dongli Hu, Jiandong Zhou, Kai Du, Anan LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Biologically Plausible Brain Graph Transformer
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics
Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bisimulation Metric for Model Predictive Control
Yutaka Shimizu, Masayoshi Tomizuka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sahoo, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Block Verification Accelerates Speculative Decoding
Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae H Ro, Ahmad Beirami, Ananda Theertha Suresh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Block-Attention for Efficient Prefilling
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Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
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Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
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日本大学: 関与なし（対象大学）