NeurIPS

2022–2026 LIVE

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Machine Learning

2025 · 5,286 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 · NeurIPS
Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
Qi Kuang, Jiayi Wang, Fan Zhou, Zhengling Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock, Juan Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon Du Toit, Louay Nessir, Refiloe Shabe, Arnol Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Arnu Pretorius
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Xiucheng Li, Weili Guan, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang, Yiwei Lu, Xiao-Shan Gao, Gautam Kamath, Yaoliang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Peiyan Li, Yixiang Chen, Hongtao Wu, Xiao Ma, Xiangnan Wu, Yan Huang, Liang Wang, Tao Kong, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon, Laetitia Chapel, Titouan Vayer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
Sara Cammarota, Matteo Ferrante, Nicola Toschi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains
Colin Kohler, Purvik Patel, Nathan Vaska, Justin Goodwin, Matthew Jones, Robert Platt, Rajmonda Caceres, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, Andy Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks
Yuhan Huang, Keren Gao, Dongping Yang, Sen Song, Guozhang Chen
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation
Jianyuan Guo, Peike Li, Trevor Cohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Longwei Wang, Ifrat Ikhtear Uddin, Prof. KC Santosh (PhD), Chaowei Zhang, Xiao Qin, Yang Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Theory and Practice in Link Representation with Graph Neural Networks
Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
Jianyang Qin, Chaoyang Li, Jinhao Cui, Lingzhi Wang, Zhao Liu, Qing Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
Sihan Wang, Wenjie Du, Qing Zhu, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bridging the gap to real-world language-grounded visual concept learning
whie jung, Semin Kim, Junee Kim, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery
Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
Brian Zheng, Alisa Liu, Orevaoghene Ahia, Jonathan Hayase, Yejin Choi, Noah A. Smith
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Buffer layers for Test-Time Adaptation
Hyeongyu Kim, GeonHui Han, Dosik Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Building 3D Representations and Generating Motions From a Single Image via Video-Generation
Weiming Zhi, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang, Yanchen Jiang, David C. Parkes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
Kunlun Xu, Yibo Feng, Jiangmeng Li, Yongsheng Qi, Jiahuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang, Yucheng Wang, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
MingMing Yu, Fei Zhu, Wenzhuo Liu, Yirong Yang, Qunbo Wang, wenjun wu, Jing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark Coates
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
Yandong Guan, Xilin Wang, XiMing Xing, Jing Zhang, Dong Xu, Qian Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
Jiyao Zhang, Zhiyuan Ma, Tianhao Wu, Zeyuan Chen, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
Yiyi Liu, Chunyang Liu, Bohan Wang, Weiqin Jiao, Bojian Wu, Lubin Fan, Yuwei Chen, Fashuai Li, Biao Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
Jan Hagnberger, Daniel Musekamp, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CALM: Culturally Self-Aware Language Models
Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAMILA: Context-Aware Masking for Image Editing with Language Alignment
Hyunseung Kim, Chiho Choi, Srikanth Malla, Sai Padmanabhan, Saurabh Bagchi, Joon Hee Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
Rui Liu, Yu Shen, Peng Gao, Pratap Tokekar, Ming C. Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
WEI XING, Zhenjie Lu, Akeel Shah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Tsu-Jui Fu, Xinze Wang, Wei Liu, Yinfei Yang, Alex Schwing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention
Xiaomeng Hu, Fei Huang, Chenhan Yuan, Junyang Lin, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
Zhiyuan Ning, Jiawei Shao, Ruge Xu, Xinfei Guo, Jun Zhang, Chi Zhang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
Yoshihiro Yamada
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CAT: Content-Adaptive Image Tokenization
Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, LILI YU, Chunting Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
Irene Wang, Mostafa Elhoushi, H Ekin Sumbul, Samuel Hsia, Daniel Jiang, Newsha Ardalani, Divya Mahajan, Carole-Jean Wu, Bilge Acun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang, Taero Kim, Jihee Kim, Kyungwoo Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
Bowen Song, Zecheng Zhang, Zhaoxu Luo, Jason Hu, Wei Yuan, Jing Jia, Zhengxu Tang, Guanyang Wang, Liyue Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CF-VLM:CounterFactual Vision-Language Fine-tuning
jusheng zhang, Kaitong Cai, Yijia Fan, Jian Wang, Keze Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CG-SSL: Concept-Guided Self-Supervised Learning
Sara Atito, Josef Kittler, Imran Razzak, Muhammad Awais
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
Florian Barthel, Wieland Morgenstern, Paul Hinzer, Anna Hilsmann, Peter Eisert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning
ao zhou, Jiayi Guan, Li Shen, Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, Guang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh Manuvinakurike, Bodo Rosenhahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs
Bowen Gao, Yanwen Huang, Yiqiao Liu, Wenxuan Xie, Bowei He, Haichuan Tan, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
Keuntae Kim, Eunhye Jeong, Sehyeon Lee, Seohee Yoon, Yong Suk Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
Songhua Liu, Zhenxiong Tan, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Kornel Howil, Joanna Waczynska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemysław Spurek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
Marc Lafon, Gustavo Vargas Hakim, Clément Rambour, Christian Desrosiers, Nicolas THOME
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering
Zhengqing Wang, Yuefan Wu, Jiacheng Chen, Fuyang Zhang, Yasutaka Furukawa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
Jun Wang, Fuyuan CAO, Zhixin Xue, Xingwang Zhao, Jiye Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
Uliana Parkina, Maxim Rakhuba
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
Pengyi Li, Hongyao Tang, Yifu Yuan, Jianye Hao, Zibin Dong, YAN ZHENG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
COME: Adding Scene-Centric Forecasting Control to Occupancy World Model
Yining Shi, Kun Jiang, Qiang Meng, Ke Wang, JiaBao Wang, Wenchao Sun, Tuopu Wen, mengmeng yang, diange yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
COOPERA: Continual Open-Ended Human-Robot Assistance
Chenyang Ma, Kai Lu, Ruta Desai, Xavier Puig, Andrew Markham, Niki Trigoni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
Esther Rodriguez, Monica Welfert, Samuel McDowell, Nathan Stromberg, Julian Camarena, Lalitha Sankar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
Pengyi Li, Shixiong Kai, Jianye Hao, Ruizhe Zhong, Hongyao Tang, Zhentao Tang, Mingxuan Yuan, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
Gucongcong Fan, Chaoyue Niu, Chengfei Lyu, Fan Wu, Guihai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
COS3D: Collaborative Open-Vocabulary 3D Segmentation
Runsong Zhu, Ka-Hei Hui, Zhengzhe Liu, Qianyi Wu, Weiliang Tang, Shi Qiu, Pheng-Ann Heng, Chi-Wing Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CPO: Condition Preference Optimization for Controllable Image Generation
Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
Zhihang Lin, Mingbao Lin, Yuan Xie, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
YUXUAN SUN, Yixuan Si, Chenglu Zhu, Kai Zhang, Zhongyi Shui, Bowen Ding, Tao Lin, Lin F. Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
Zhichao Sun, Huazhang Hu, Yidong Ma, Gang Liu, Yibo Chen, Xu Tang, Yao Hu, Yongchao Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
Kavana Venkatesh, Connor Dunlop, Pinar Yanardag
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
Xianhan Tan, Binli Luo, Yu Qi, Yueming Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
Ke Niu, Zhuofan Chen, Haiyang Yu, Yuwen Chen, Teng Fu, Mengyang Zhao, Bin Li, Xiangyang Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
Yuchen Zhou, Jiamin Wu, Zichen Ren, Zhouheng Yao, Weiheng Lu, Kunyu Peng, Qihao Zheng, Chunfeng Song, Wanli Ouyang, Chao Gou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CSGO: Content-Style Composition in Text-to-Image Generation
Peng Xing, Haofan Wang, Yanpeng Sun, wangqixun, Baixu, Hao Ai, Jen-Yuan Huang, Zechao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
Mingyuan Li, Tong Jia, Hao Wang, Bowen Ma, Luhui, Shiyi Guo, Da Cai, Dongyue Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
Francis Ward, Teun van der Weij, Hanna Gábor, Sam Martin, Raja Moreno, Harel Lidar, Louis Makower, Thomas Jodrell, Lauren Robson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
Seewon Choi, Alaia Solko-Breslin, Rajeev Alur, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
Shristi Das Biswas, Arani Roy, Kaushik Roy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
Ziao Wang, Sixing Yan, Kejing Yin, Xiaofeng Zhang, William K. Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CVGL: Causal Learning and Geometric Topology
Songsong Ouyang, Yingying Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
Yuena Lin, Hao Wei, Hai-Chun Cai, Bohang Sun, Tao Yang, Zhen Yang, Gengyu Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu, Yibin Lei, Christof Monz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing
Xinran Qin, Zhixin Wang, Fan Li, Haoyu Chen, Renjing Pei, Wenbo Li, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CamSAM2: Segment Anything Accurately in Camouflaged Videos
Yuli Zhou, Yawei Li, Yuqian Fu, Luca Benini, Ender Konukoglu, Guolei Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cameras as Relative Positional Encoding
Ruilong Li, Brent Yi, Junchen Liu, Hang Gao, Yi Ma, Angjoo Kanazawa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Agent Fix Agent Issues?
Alfin Wijaya Rahardja, Junwei Liu, Weitong Chen, Zhenpeng Chen, Yiling Lou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu, Ning Xu, Jie Wang, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can DPO Learn Diverse Human Values? A Theoretical Scaling Law
Shawn Im, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
Yu Yao, Yiliao (Lia) Song, Yian Xie, Mengdan Fan, Mingyu Guo, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Diffusion Models Disentangle? A Theoretical Perspective
Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong, Yuan Gong, Jiaqi Zhang, Brian Tracey, Katerina Placek, Marco Vilela, Jim Glass
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
Junchi Yu, Yujie Liu, Jindong Gu, Philip H.S. Torr, Dongzhan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
Tianle Zhang, Wanlong Fang, Jonathan Woo, Paridhi Latawa, Deepak Subramanian, Alvin Chan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Large Language Models Master Complex Card Games?
Wei Wang, Fuqing Bie, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
Yijie Hu, Zihao Zhou, Kaizhu Huang, Xiaowei Huang, Qiufeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh, Reza Pourreza, Litian Liu, Sunny Panchal, Leonid Sigal, Roland Memisevic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can NeRFs "See" without Cameras?
Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu, Zhijian Yang, Mehmet Ergezer, Romit Roy Choudhury
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Can We Infer Confidential Properties of Training Data from LLMs?
Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri, Ruihan Wu
Machine Learning
日本大学: 関与なし（対象大学）