NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2023 · 3,218 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。

2023 · NeurIPS
Intervention Generalization: A View from Factor Graph Models
Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
Qi Qian, Yuanhong Xu, Juhua Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Intriguing Properties of Quantization at Scale
Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Zhen Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M Buhmann
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Invariant Learning via Probability of Sufficient and Necessary Causes
Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener, Ofir Nachum, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Inverse Preference Learning: Preference-based RL without a Reward Function
Joey Hejna, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Inverse Reinforcement Learning with the Average Reward Criterion
Feiyang Wu, Jingyang Ke, Anqi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Investigating how ReLU-networks encode symmetries
Georg Bökman, Fredrik Kahl
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Is Distance Matrix Enough for Geometric Deep Learning?
Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Is Learning in Games Good for the Learners?
William Brown, Jon Schneider, Kiran Vodrahalli
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Is RLHF More Difficult than Standard RL? A Theoretical Perspective
Yuanhao Wang, Qinghua Liu, Chi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, LINGMING ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
In Huh, changwook jeong, Jae Myung Choe, YOUNGGU KIM, Daesin Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Iterative Reachability Estimation for Safe Reinforcement Learning
Milan Ganai, Zheng Gong, Chenning Yu, Sylvia Herbert, Sicun Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Iteratively Learn Diverse Strategies with State Distance Information
Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, YI WU
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang, Xuefei Ning, Matthew Blaschko
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Jailbroken: How Does LLM Safety Training Fail?
Alexander Wei, Nika Haghtalab, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Jigsaw: Learning to Assemble Multiple Fractured Objects
Jiaxin Lu, Yifan Sun, Qixing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Esmeralda S. Whitammer, Laurent Charlin, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Data-Task Generation for Auxiliary Learning
Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Joint processing of linguistic properties in brains and language models
SUBBAREDDY OOTA, Manish Gupta, Mariya Toneva
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
Chao Li, Chen GONG, Qiang He, Xinwen Hou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kernel Quadrature with Randomly Pivoted Cholesky
Ethan Epperly, Elvira Moreno
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Clement Benard, Brian Staber, Sébastien Da Veiga
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Patrik Robert Gerber, Tianze Jiang, Yury Polyanskiy, Rui Sun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kernelized Cumulants: Beyond Kernel Mean Embeddings
Patric Bonnier, Harald Oberhauser, Zoltan Szabo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
Sattar Vakili, Julia Olkhovskaya
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kiki or Bouba? Sound Symbolism in Vision-and-Language Models
Morris Alper, Hadar Averbuch-Elor
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Knowledge Diffusion for Distillation
Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Knowledge Distillation Performs Partial Variance Reduction
Mher Safaryan, Alexandra Peste, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Knowledge Distillation for High Dimensional Search Index
Zepu Lu, Jin Chen, Defu Lian, ZAIXI ZHANG, Yong Ge, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Koopman Kernel Regression
Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
Runa Eschenhagen, Alexander Immer, Richard Turner, Frank Schneider, Philipp Hennig
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
Hao Qin, Kwang-Sung Jun, Chicheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
Julia Linhart, Alexandre Gramfort, Pedro Rodrigues
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
zheng chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
L2T-DLN: Learning to Teach with Dynamic Loss Network
Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
Haoyu Chen, Hao Tang, Radu Timofte, Luc V Gool, Guoying Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LEACE: Perfect linear concept erasure in closed form
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction
Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris Metaxas
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LICO: Explainable Models with Language-Image COnsistency
Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, LILI YU, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LLM-Pruner: On the Structural Pruning of Large Language Models
Xinyin Ma, Gongfan Fang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
Haoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan Ngoc Pham, Tri Cao, Binh Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogerio Feris, Horst Bischof
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model
Hui GUO, Boyu Wang, Grace Yi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Label Poisoning is All You Need
Rishi Jha, Jonathan Hayase, Sewoong Oh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Label-Only Model Inversion Attacks via Knowledge Transfer
Bao-Ngoc Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man (Man) Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Label-efficient Segmentation via Affinity Propagation
Wentong Li, Yuqian Yuan, Song Wang, Wenyu Liu, Dongqi Tang, Jian liu, Jianke Zhu, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Labeling Neural Representations with Inverse Recognition
Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina Höhne
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles A. Sutton
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Langevin Quasi-Monte Carlo
Sifan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Bjorck, Vishrav Chaudhary, Subhojit Som, XIA SONG, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Model Alignment with Elastic Reset
Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Model Tokenizers Introduce Unfairness Between Languages
Aleksandar Petrov, Emanuele La Malfa, Philip Torr, Adel Bibi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Miles Turpin, Julian Michael, Ethan Perez, Samuel Bowman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Models Meet World Models: Embodied Experiences Enhance Language Models
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Models are Weak Learners
Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Models can Solve Computer Tasks
Geunwoo Kim, Pierre Baldi, Stephen McAleer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment
Hao Liu, Wilson Yan, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma, Shuang Li, lincan Cai, Jingxuan Kang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Kanchana Ranasinghe, Michael S Ryoo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
An Dinh Vuong, Minh Nhat VU, Toan Nguyen, Baoru Huang, Dzung Nguyen, Thieu Vo, Anh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
George Ma, Yifei Wang, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models Are Semi-Parametric Reinforcement Learning Agents
Danyang Zhang, Lu Chen, Situo Zhang, Hongshen Xu, Zihan Zhao, Kai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models Are Zero-Shot Time Series Forecasters
Nate Gruver, Marc Finzi, Shikai Qiu, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models can Implement Policy Iteration
Ethan Brooks, Logan Walls, Richard L Lewis, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann, Samuel Müller, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large Language Models of Code Fail at Completing Code with Potential Bugs
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.
Eghbal Hosseini, Evelina Fedorenko
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows
David Skrill, Samuel Norman-Haignere
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Large-Scale Distributed Learning via Private On-Device LSH
Tahseen Rabbani, Marco Bornstein, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
Machine Learning
日本大学: 関与なし（対象大学）