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
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
Mohamed el amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Anwer, Salman Khan, Fahad Khan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Xingyao Wang, Boxuan Li, Yufan Song, Frank F Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Daniel Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Shubham Toshniwal, Wei Du, Ivan Moshkov, Branislav Kisacanin, Alexan Ayrapetyan, Igor Gitman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Kepan Nan, Rui Xie, Penghao Zhou, Tiehan Fan, Zhenheng Yang, Zhijie Chen, Xiang Li, Jian Yang, Ying Tai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Operator Deep Smoothing for Implied Volatility
Ruben Wiedemann, Antoine (Jack) Jacquier, Lukas Gonon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
Zhicheng YANG, Yiwei Wang, Yinya Huang, Zhijiang Guo, Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Brain Apoptosis
Mingyuan Sun, Zheng Fang, Jiaxu Wang, Junjie Jiang, Delei Kong, Chenming Hu, Yuetong FANG, Renjing Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
Hongwei Wen, Annika Betken, Hanyuan Hang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
Jongmin Lee, Ernest Ryu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimal Transport for Time Series Imputation
Hao Wang, zhengnan li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
Juno Kim, Dimitri Meunier, Arthur Gretton, Taiji Suzuki, Zhu Li
Machine Learning
日本大学: 東京大学
2025 · ICLR
Optimality of Matrix Mechanism on $\ell_p^p$-metric
Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
Yuma Ichikawa, Yamato Arai
Machine Learning
日本大学: 東京大学
2025 · ICLR
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference
Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
Daniil Vankov, Anton Rodomanov, Angelia Nedich, Lalitha Sankar, Sebastian Stich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
In-Hwan Jin, Haesoo Choo, Seong-Hun Jeong, Heemoon Park, Junghwan Kim, Oh-joon Kwon, Kyeongbo Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
Timofei Gritsaev, Nikita Morozov, Sergey Samsonov, Daniil Tiapkin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimizing Neural Network Representations of Boolean Networks
Joshua Russell, Ignacio Gavier, Devdhar Patel, Edward Rietman, Hava Siegelmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Taiwo Adebiyi, Bach Do, Ruda Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege, Bram Wouters, Noud Giersbergen, Cees Diks
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OptionZero: Planning with Learned Options
Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Oracle efficient truncated statistics
Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Order-aware Interactive Segmentation
Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Oscillatory State-Space Models
T. Konstantin Rusch, Daniela Rus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
Yuanchao Wang, Zhao-Rong Lai, Tianqi Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
Hengzhuang Li, Teng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Keda TAO, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel, Hava Siegelmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination
Tobias Gessler, Tin Dizdarevic, Ani Calinescu, Benjamin Ellis, Andrei Lupu, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
Malyaban Bal, Abhronil Sengupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PABBO: Preferential Amortized Black-Box Optimization
Xinyu Zhang, Daolang Huang, Samuel Kaski, Julien Martinelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PAD: Personalized Alignment of LLMs at Decoding-time
Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer
Pierre-David Letourneau, Manish Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Langston, Hong Cai, Fatih Porikli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
Daiwei Chen, Yi Chen, Aniket Rege, Zhi Wang, Ramya Vinayak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS
Yilong Li, Jingyu Liu, Hao Zhang, Badri Narayanan Murali Krishnan, Utkarsh Sharma, Shuai Zhang, Yijing Zeng, Jayaram Raghuram, Suman Banerjee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John Turner, Eric Undersander, Tsung-Yen Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay Purushothaman Namboodiri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PEARL: Parallel Speculative Decoding with Adaptive Draft Length
Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PEARL: Towards Permutation-Resilient LLMs
Liang CHEN, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PETRA: Parallel End-to-end Training with Reversible Architectures
Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores
Guangyi Wang, Yuren Cai, lijiang Li, Wei Peng, Song-Zhi Su
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim, Yuji Roh, Geon Heo, Steven Whang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PICASO: Permutation-Invariant Context Composition with State Space Models
Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations
Viraj Dhananjaya Bandara Jayasundara Jayasundara Mudiyanselage, Heng Zhao, Demetrio Labate, Vishal Patel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
Huaguan Chen, Yang Liu, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations
Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin Yakovlev, Aleksandr Panov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition
Yuta Saito, Jihan Yao, Thorsten Joachims
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PPT: Patch Order Do Matters In Time Series Pretext Task
Jaeho Kim, Kwangryeol Park, Sukmin Yun, Seulki Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos, Sammy Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault-Levasseur, Yashar Hezaveh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PRDP: Progressively Refined Differentiable Physics
Kanishk Bhatia, Felix Koehler, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task
Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PWM: Policy Learning with Multi-Task World Models
Ignat Georgiev, Varun Giridhar, Nick Hansen, Animesh Garg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo, Sol Namkung, SunWoo Lee, Inho Jeong, Beomseok Kim, Dongsuk Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PaLD: Detection of Text Partially Written by Large Language Models
Eric Lei, Hsiang Hsu, Chun-Fu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pacmann: Efficient Private Approximate Nearest Neighbor Search
Mingxun Zhou, Elaine Shi, Giulia Fanti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
Ishank Juneja, Carlee Joe-Wong, Osman Yagan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Palu: KV-Cache Compression with Low-Rank Projection
Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Chong-Yan Chen, Yu-Fang Hu, Pei-Shuo Wang, Ning-Chi Huang, Luis Ceze, Mohamed Abdelfattah, Kai-Chiang Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
Xiang Yue, Yueqi Song, Akari Asai, Seungone Kim, JEAN NYANDWI, Simran Khanuja, Anjali Kantharuban, Lintang Sutawika, Sathyanarayanan Ramamoorthy, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization
Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
Jianrong Lu, Zhiyu Zhu, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost
Sheng Cao, Mingrui Wu, Karthik Prasad, Yuandong Tian, Zechun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikos Dimitriadis, Pascal Frossard, François Fleuret
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pareto Prompt Optimization
Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ParetoFlow: Guided Flows in Multi-Objective Optimization
Ye Yuan, Can Chen, Christopher Pal, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Partial Gromov-Wasserstein Metric
Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil Kolouri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu, Edward Chien, Kristjan Greenewald
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration
Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Jingxiong Li, Xuan Gong, XINHENG LYU, Tao Lin, Lin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities
Yichen Wang, Yiyi Zhang, Xinhao Hu, Li Niu, Jianfu Zhang, Yasushi Makihara, Yasushi Yagi, Pai Peng, Wenlong Liao, Tao He, Junchi Yan, Liqing Zhang
Machine Learning
日本大学: 大阪大学
2025 · ICLR
PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation
Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Periodic Materials Generation using Text-Guided Joint Diffusion Model
KISHALAY DAS, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Soeren Pirk, Jorge Alejandro Amador Herrera, Dominik L Michels, Tuanfeng Wang, Meng Zhang, Holly Rushmeier, Yi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max M Marion, Matthew Leavitt, Mansheej Paul
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Persistent Pre-training Poisoning of LLMs
Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramer, Daphne Ippolito
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PersonalLLM: Tailoring LLMs to Individual Preferences
Thomas Zollo, Andrew Siah, Naimeng Ye, Li, Hongseok Namkoong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Personality Alignment of Large Language Models
Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Personalized Representation from Personalized Generation
Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Personalized Visual Instruction Tuning
Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Perturbation-Restrained Sequential Model Editing
Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching
Daniel Rose, Oliver Wieder, Thomas Seidel, Thierry Langer
Machine Learning
日本大学: 関与なし（対象大学）