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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
Information-theoretic Limits of Online Classification with Noisy Labels
Changlong Wu, Ananth Grama, Wojciech Szpankowski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
Zhongwang Zhang, Pengxiao Lin, Zhiwei Wang, Yaoyu Zhang, Zhi-Qin John Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
Maximilian Stölzle, Cosimo Della Santina
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Instance-Optimal Private Density Estimation in the Wasserstein Distance
Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Instance-Specific Asymmetric Sensitivity in Differential Privacy
David Durfee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Instruction Tuning With Loss Over Instructions
Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Instruction-Guided Visual Masking
Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Arvind Murari Vepa, Zukang Yang, Andrew Choi, Jungseock Joo, Fabien Scalzo, Yizhou Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
Masahito Uwamichi, Simon K. Schnyder [東京科学大学] [東京大学], Tetsuya J. Kobayashi, Satoshi Sawai
Machine Learning
日本大学: 東京科学大学 / 東京大学
2024 · NeurIPS
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
Dingbang Liu, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan, Guoxin Su
Machine Learning
日本大学: 北陸先端科学技術大学院大学 / 名古屋工業大学
2024 · NeurIPS
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
Zhenzhi Wang, Jingbo Wang, Yixuan Li, Dahua Lin, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interaction-Force Transport Gradient Flows
Egor Gladin, Pavel Dvurechensky, Alexander Mielke, Jia-Jie Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interactive Deep Clustering via Value Mining
Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interfacing Foundation Models' Embeddings
Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Junyi Wei, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpolating Item and User Fairness in Multi-Sided Recommendations
Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpretable Concept-Based Memory Reasoning
David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpretable Generalized Additive Models for Datasets with Missing Values
Hayden McTavish, Jon Donnelly, Margo Seltzer, Cynthia Rudin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
Tam Thuc Do, Parham Eftekhar, Seyed Alireza Hosseini, Gene Cheung, Philip A. Chou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpretable Mesomorphic Networks for Tabular Data
Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio P. Calmon, Himabindu Lakkaraju
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpreting Learned Feedback Patterns in Large Language Models
Luke Marks, Amir Abdullah, Clement Neo, Rauno Arike, David Krueger, Philip Torr, Fazl Barez
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Fawaz Sammani, Nikos Deligiannis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Intervention and Conditioning in Causal Bayesian Networks
Sainyam Galhotra, Joseph Y. Halpern
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interventional Causal Discovery in a Mixture of DAGs
Burak Varıcı, Dmitriy A. Katz, Dennis Wei, Prasanna Sattigeri, Ali Tajer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Interventionally Consistent Surrogates for Complex Simulation Models
Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael Wooldridge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng, Hongzhi Wang, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
Wei Tang, Haifeng Xu, Ruimin Zhang, Derek Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
Bong Gyun Kang, Dongjun Lee, HyunGi Kim, DoHyun Chung, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Invariant subspaces and PCA in nearly matrix multiplication time
Aleksandros Sobczyk, Marko Mladenović, Mathieu Luisier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
Hideaki Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Inversion-based Latent Bayesian Optimization
Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao, Kexun Zhang, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?
Garud Iyengar, Henry Lam, Tianyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Multiple Object Tracking a Matter of Specialization?
Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL
Enoch H. Kang, P. R. Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Programming by Example Solved by LLMs?
Wen-Ding Li, Kevin Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Score Matching Suitable for Estimating Point Processes?
Haoqun Cao, Zizhuo Meng, Tianjun Ke, Feng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Value Learning Really the Main Bottleneck in Offline RL?
Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is Your LiDAR Placement Optimized for 3D Scene Understanding?
Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Iteration Head: A Mechanistic Study of Chain-of-Thought
Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, Francois Charton, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Iterative Methods via Locally Evolving Set Process
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Iterative Reasoning Preference Optimization
Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
Ashwin Ramachandran, Vaibhav Raj, Indrayumna Roy, Soumen Chakrabarti, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
John Ellipsoids via Lazy Updates
David P. Woodruff, Taisuke Yasuda
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
Mincheol Chang, Siyeong Lee, Jinkyu Kim, Namil Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Xiong-Hui Chen, Nan Tang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KFNN: K-Free Nearest Neighbor For Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Josh Susskind
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
Xinran Li, Ling Pan, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kermut: Composite kernel regression for protein variant effects
Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kernel PCA for Out-of-Distribution Detection
Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
Sattar Vakili, Julia Olkhovskaya
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KnowGPT: Knowledge Graph based Prompting for Large Language Models
Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Knowledge Circuits in Pretrained Transformers
Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Knowledge Graph Completion by Intermediate Variables Regularization
Changyi Xiao, Yixin Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
Yicheng Luo, Zhen Liu, Linghao Wang, Junhao Zheng, Binquan Wu, Qianli Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
Jie Yang, Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Ruimao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
Felix Dangel, Johannes Müller, Marius Zeinhofer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
Jin Shin, Hyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
L4GM: Large 4D Gaussian Reconstruction Model
Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
Elias Stengel-Eskin, Peter Hase, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）