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2022–2026 LIVE

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Machine Learning

2024 · 4,034 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。

2024 · NeurIPS
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
Zhiwei Lin, Yongtao Wang, Zhi Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks
Pengfei Yao, Yinglong Zhu, Huikun Bi, Tianlu Mao, Zhaoqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability
Volodymyr Tkachuk, Gellért Weisz, Csaba Szepesvári
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Trajectory Diffusion for ObjectGoal Navigation
Xinyao Yu, Sixian Zhang, Xinhang Song, Xiaorong Qin, Shuqiang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Trajectory Flow Matching with Applications to Clinical Time Series Modelling
Xi Zhang, Yuan Pu, Yuki Kawamura, Andrew Loza, Yoshua Bengio, Dennis L. Shung, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
Yiwei Guo, Shaobin Zhuang, Kunchang Li, Yu Qiao, Yali Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transcendence: Generative Models Can Outperform The Experts That Train Them
Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham Kakade, Eran Malach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transcoders find interpretable LLM feature circuits
Jacob Dunefsky, Philippe Chlenski, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transductive Active Learning: Theory and Applications
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transductive Learning is Compact
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transfer Learning for Diffusion Models
Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transfer Learning for Latent Variable Network Models
Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transfer Q-star : Principled Decoding for LLM Alignment
Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, Lingyu Duan, Xudong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transferable Boltzmann Generators
Leon Klein, Frank Noé
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transferring disentangled representations: bridging the gap between synthetic and real images
Jacopo Dapueto, Nicoletta Noceti, Francesca Odone
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Omar Montasser, Han Shao, Emmanuel Abbe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformer Doctor: Diagnosing and Treating Vision Transformers
Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers Can Do Arithmetic with the Right Embeddings
Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers Represent Belief State Geometry in their Residual Stream
Adam S. Shai, Sarah E. Marzen, Lucas Teixeira, Alexander Gietelink Oldenziel, Paul M. Riechers
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers are Minimax Optimal Nonparametric In-Context Learners
Juno Kim, Tai Nakamaki, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers need glasses! Information over-squashing in language tasks
Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G.M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers on Markov data: Constant depth suffices
Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch, Calvin Tsay, Robert M Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
Zhen-Ting Liu, Shang-Tse Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Václav Voráček
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
Junxi Xiao, Qinliang Su
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees
Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David Blei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Chengtao Jian, Kai Yang, Yang Jiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Truncated Variance Reduced Value Iteration
Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Truthful High Dimensional Sparse Linear Regression
Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Truthfulness of Calibration Measures
Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Typicalness-Aware Learning for Failure Detection
Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UDON: Universal Dynamic Online distillatioN for generic image representations
Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araujo, Ondřej Chum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UDPM: Upsampling Diffusion Probabilistic Models
Shady Abu-Hussein, Raja Giryes
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UGC: Universal Graph Coarsening
Mohit Kataria, Sandeep Kumar, Jayadeva
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UMB: Understanding Model Behavior for Open-World Object Detection
Xing Xi, Yangyang Huang, Zhijie Zhong, Ronghua Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang, Ruibing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
Ted Lentsch, Holger Caesar, Dariu M. Gavrila
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UNIT: Unifying Image and Text Recognition in One Vision Encoder
Yi Zhu, Yanpeng Zhou, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond
Kun Zhou, Xinyu Lin, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UQ-Guided Hyperparameter Optimization for Iterative Learners
Jiesong Liu, Feng Zhang, Jiawei Guan, Xipeng Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UQE: A Query Engine for Unstructured Databases
Hanjun Dai, Bethany Yixin Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion
Simone Foti, Stefanos Zafeiriou, Tolga Birdal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction
Sebastian Prillo, Wilson Wu, Yun S. Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Rui Yang, Jie Wang, Guoping Wu, Bin Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Unconditional stability of a recurrent neural circuit implementing divisive normalization
Shivang Rawat, David J. Heeger, Stefano Martiniani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uncovering Safety Risks of Large Language Models through Concept Activation Vector
Zhihao Xu, Ruixuan Huang, Changyu Chen, Xiting Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uncovering the Redundancy in Graph Self-supervised Learning Models
Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Bias in Large-Scale Visual Datasets
Boya Zeng, Yida Yin, Zhuang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
Xiang Li, Yixiang Dai, Qing Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Information Storage and Transfer in Multi-Modal Large Language Models
Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
Akiyoshi Tomihari, Issei Sato
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Understanding Model Selection for Learning in Strategic Environments
Tinashe Handina, Eric Mazumdar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
Haixiang Sun, Ye Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Alex Havrilla, Wenjing Liao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Transformer Reasoning Capabilities via Graph Algorithms
Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Transformers via N-Gram Statistics
Timothy Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding Visual Feature Reliance through the Lens of Complexity
Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine Hermann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding and Minimising Outlier Features in Transformer Training
Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
Mingze Wang, Weinan E
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Understanding the Gains from Repeated Self-Distillation
Divyansh Pareek, Simon S. Du, Sewoong Oh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor Webb
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Understanding the Transferability of Representations via Task-Relatedness
Akshay Mehra, Yunbei Zhang, Jihun Hamm
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Unelicitable Backdoors via Cryptographic Transformer Circuits
Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani, Christian Schroeder de Witt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UniAR: A Unified model for predicting human Attention and Responses on visual content
Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J Kohlhoff, Vidhya Navalpakkam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
Dongchao Yang, Haohan Guo, Yuanyuan Wang, Rongjie Huang, Xiang Li, Xu Tan, Xixin Wu, Helen Meng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
Yao Wu, Mingwei Xing, Yachao Zhang, Xiaotong Luo, Yuan Xie, Yanyun Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning
Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li
Machine Learning
日本大学: 関与なし（対象大学）