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
Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models
Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boltzmann priors for Implicit Transfer Operators
Juan Viguera Diez, Mathias Schreiner, Ola Engkvist, Simon Olsson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Chen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis
Tiankuo Chu, Fudong Lin, Shubo Wang, Jason Jiang, Wiley Gong, Xu Yuan, Liyun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bonsai: Gradient-free Graph Condensation for Node Classification
Mridul Gupta, Samyak Jain, Vansh Ramani, HARIPRASAD KODAMANA, Sayan Ranu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
Sheng-Feng Yu, Jia-Jiun Yao, Wei-Chen Chiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Tekin, Ling Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boosting Latent Diffusion with Perceptual Objectives
Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boosting Methods for Interval-censored Data with Regression and Classification
Yuan Bian, Grace Yi, Wenqing He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boosting Multiple Views for pretrained-based Continual Learning
Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Qingfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki
Machine Learning
日本大学: 電気通信大学
2025 · ICLR
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
Chen Ma, Xinjie Xu, Shuyu Cheng, Qi Xuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Boosting the visual interpretability of CLIP via adversarial fine-tuning
Shizhan Gong, Haoyu LEI, Qi Dou, Farzan Farnia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bootstrapped Model Predictive Control
Yuhang Wang, Hanwei Guo, Sizhe Wang, Long Qian, Xuguang Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bootstrapping Language Models with DPO Implicit Rewards
Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
Peiwen Sun, Sitong Cheng, Xiangtai Li, Zhen Ye, Huadai Liu, Honggang Zhang, Wei Xue, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions
Yoshiaki Kitazawa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration
Chen Jiang, Jiahui An, Yating Liu, Ni Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
Andrew Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Maggie Henderson, Leila Wehbe, Michael Tarr
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex
Jea Kwon, Sungjun Lim, Kyungwoo Song, C. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation
Diego García Cerdas, Christina Sartzetaki, Magnus Petersen, Gemma Roig, Pascal Mettes, Iris Groen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng HUANG, Qingtian Bian, James Cheng, Yiping Ke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses
David Glukhov, Ziwen Han, I Shumailov, Vardan Papyan, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
xin zhang, Jiawei Du, Ping Liu, Joey Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization
Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate
Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids
Tianyuan Jin, Qin Zhang, Dongruo Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
Lukas Miklautz, Timo Klein, Kevin Sidak, Collin Leiber, Thomas Lang, Andrii Shkabrii, Sebastian Tschiatschek, Claudia Plant
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging Compressed Image Latents and Multimodal Large Language Models
Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
Yanming Liu, Xinyue Peng, Jiannan Cao, S, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach
Zechen Bai, Tianjun Xiao, Tong He, Pichao WANG, Zheng Zhang, Thomas Brox, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging the Data Provenance Gap Across Text, Speech, and Video
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
日本大学: 東北大学
2025 · ICLR
Bridging the Gap Between f-divergences and Bayes Hilbert Spaces
Linus Lach, Alexander Fottner, Yarema Okhrin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo
Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
Mengjing Wu, Junyu Xuan, Jie Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL
Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew Comport, Valerie Gouet-Brunet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
Zhiliang Chen, Xinyuan Niu, Chuan Sheng Foo, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo, Hyunseo Koh, Jonghyun Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation
Abdelrahman Eldesokey, Peter Wonka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
Yu Liu, Baoxiong Jia, Ruijie Lu, Junfeng Ni, Song-Chun Zhu, Siyuan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Building Math Agents with Multi-Turn Iterative Preference Learning
Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences
Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Bundle Neural Network for message diffusion on graphs
Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael Bronstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
C-CLIP: Multimodal Continual Learning for Vision-Language Model
Wenzhuo Liu, Fei Zhu, Longhui Wei, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
Ziran Qin, Yuchen Cao, Mingbao Lin, Wen Hu, Shixuan Fan, Ke Cheng, Weiyao Lin, Jianguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CAMEx: Curvature-aware Merging of Experts
Dung Viet Nguyen, Minh Nguyen, Luc Nguyen, Rachel Teo, Tan Nguyen, Duy Linh Tran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression
Yu-Ting Zhan, Cheng-Yuan Ho, He-Bi Yang, Yi-Hsin Chen, Jui Chiu Chiang, Yu-Lun Liu, Wen-Hsiao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CAX: Cellular Automata Accelerated in JAX
Maxence Faldor, Antoine Cully
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CBMA: Improving Conformal Prediction through Bayesian Model Averaging
Pankaj Bhagwat, Linglong Kong, Bei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CBQ: Cross-Block Quantization for Large Language Models
Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement
Aming Wu, Cheng Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding
Guo Chen, Yicheng Liu, Yifei Huang, Baoqi Pei, Jilan Xu, Yuping He, Tong Lu, Yali Wang, Limin Wang
Machine Learning
日本大学: 東京大学
2025 · ICLR
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
Harry Zhang, Luca Carlone
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Arik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
Long Wei, Haodong Feng, Yuchen Yang, Ruiqi Feng, Peiyan Hu, Xiang Zheng, Tao Zhang, Dixia Fan, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
Gen Zhou, Sugitha Janarthanan, Yutong Lu, Pingzhao Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
ZeMing Gong, Austin Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C Lowe, Graham W Taylor, Angel Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing
Ziqi Jiang, Zhen Wang, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit Bermano, Michiel van de Panne
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets
feng yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
COME: Test-time Adaption by Conservatively Minimizing Entropy
Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CONGO: Compressive Online Gradient Optimization
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan FANG, Aixin Tan, Jian Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
COPER: Correlation-based Permutations for Multi-View Clustering
Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CR-CTC: Consistency regularization on CTC for improved speech recognition
Zengwei Yao, Wei Kang, Xiaoyu Yang, Fangjun Kuang, Liyong Guo, Han Zhu, Zengrui Jin, Zhaoqing Li, Long Lin, Daniel Povey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, zhibin wang, Jinfa Huang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CREAM: Consistency Regularized Self-Rewarding Language Models
Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations
Noga Mudrik, Ryan Ly, Oliver Ruebel, Adam Charles
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Shoubin Yu, Jaehong Yoon, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma GongQue, Jianing Yu, Qiuna Tan, Weiran Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
Po-han Li, Sandeep Chinchali, ufuk topcu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CTSyn: A Foundation Model for Cross Tabular Data Generation
Xiaofeng Lin, Chenheng Xu, Matthew Yang, Guang Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael Brenner, Sameera Ponda, Subhashini Venugopalan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CViT: Continuous Vision Transformer for Operator Learning
Sifan Wang, Jacob Seidman, Shyam Sankaran, Hanwen Wang, George Pappas, Paris Perdikaris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G Snoek, Jan-jakob Sonke, Efstratios Gavves
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Cached Multi-Lora Composition for Multi-Concept Image Generation
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control
Hejia Chen, Haoxian Zhang, Shoulong Zhang, Xiaoqiang Liu, Sisi Zhuang, zhangyuan, Pengfei Wan, Di ZHANG, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Calibrating Expressions of Certainty
Peiqi Wang, Barbara Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William Wells III, Tina Kapur, Polina Golland
Machine Learning
日本大学: 関与なし（対象大学）