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
Equivariant Single View Pose Prediction Via Induced and Restriction Representations
Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equivariant flow matching
Leon Klein, Andreas Krämer, Frank Noe
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Error Bounds for Learning with Vector-Valued Random Features
Samuel Lanthaler, Nicholas H. Nelsen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Error Discovery By Clustering Influence Embeddings
Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation
Dogyoon Song, Kyunghee Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations
Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments
Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Amin Nejatbakhsh, Isabel Garon, Alex Williams
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating Propensity for Causality-based Recommendation without Exposure Data
Zhongzhou Liu, Yuan Fang, Min Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
Jiaming Qiu, Xiongtao Dai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
Beepul Bharti, Paul Yi, Jeremias Sulam
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Ness, Jonathan Larson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating Neuron Interpretation Methods of NLP Models
Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating and Inducing Personality in Pre-trained Language Models
Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating the Moral Beliefs Encoded in LLMs
Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
Jonathan Crabbé, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
Mohammad Mahdi Rahimi, Hasnain Irshad Bhatti, Younghyun Park, Humaira Kousar, Jaekyun Moon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EvoPrompting: Language Models for Code-Level Neural Architecture Search
Angelica Chen, David Dohan, David So
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evolving Connectivity for Recurrent Spiking Neural Networks
Guan Wang, Yuhao Sun, Sijie Cheng, Sen Song
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Evolving Standardization for Continual Domain Generalization over Temporal Drift
Mixue Xie, Shuang Li, Longhui Yuan, Chi Liu, Zehui Dai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen, Sudhanshu Agrawal, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
Fabian Zaiser, Andrzej Murawski, Chih-Hao Luke Ong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
Sudhanshu Chanpuriya, Ryan Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exact Verification of ReLU Neural Control Barrier Functions
Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
Maximilien Dreveton, Felipe Fernandes, Daniel Figueiredo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Experiment Planning with Function Approximation
Aldo Pacchiano, Jonathan Lee, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Experimental Designs for Heteroskedastic Variance
Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, houssam nassif, Lalit Jain
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Expert load matters: operating networks at high accuracy and low manual effort
Sara Sangalli, Ertunc Erdil, Ender Konukoglu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explain Any Concept: Segment Anything Meets Concept-Based Explanation
Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explainable Brain Age Prediction using coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explainable and Efficient Randomized Voting Rules
Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian, Nisarg Shah
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
David Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
Galen Pogoncheff, Jacob Granley, Michael Beyeler
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploiting Contextual Objects and Relations for 3D Visual Grounding
Li Yang, chunfeng yuan, Ziqi Zhang, Zhongang Qi, Yan Xu, Wei Liu, Ying Shan, Bing Li, Weiping Yang, Peng Li, Yan Wang, Weiming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits
Arun Verma, Zhongxiang Dai, YAO SHU, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explore In-Context Learning for 3D Point Cloud Understanding
Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M Buhmann, Chen Change Loy, Mengyuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Explore to Generalize in Zero-Shot RL
Ev Zisselman, Itai Lavie, Daniel Soudry, Aviv Tamar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploring Diverse In-Context Configurations for Image Captioning
Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploring Geometry of Blind Spots in Vision models
Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks
Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploring Question Decomposition for Zero-Shot VQA
Zaid Khan, Vijay Kumar B G, Samuel Schulter, Manmohan Chandraker, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
Chudi Zhong, Zhi Chen, Jiachang Liu, Margo Seltzer, Cynthia Rudin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Yu Cao, Jingrun Chen, Yixin Luo, Xiang ZHOU
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exponential Lower Bounds for Fictitious Play in Potential Games
Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Joowon Lee, Hanbaek Lyu, Weixin Yao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
George Stein, Jesse Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L Caterini, Eric Taylor, Gabriel Loaiza-Ganem
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim, Joshua W. Robinson, Stefanie Jegelka, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Expressive probabilistic sampling in recurrent neural networks
Shirui Chen, Linxing Jiang, Rajesh PN Rao, Eric Shea-Brown
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Expressivity-Preserving GNN Simulation
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Extensible Prompts for Language Models on Zero-shot Language Style Customization
Tao Ge, Hu Jing, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Extracting Reward Functions from Diffusion Models
Felipe Nuti, Tim Franzmeyer, João F. Henriques
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Extremal Domain Translation with Neural Optimal Transport
Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
Zuhao Yang, Yingfang Yuan, Yang Xu, SHUO ZHAN, Huajun Bai, Kefan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FAMO: Fast Adaptive Multitask Optimization
Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas Li, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
Youguang Chen, George Biros
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FLSL: Feature-level Self-supervised Learning
Qing Su, Anton Netchaev, Hai Li, Shihao Ji
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Irene Wang, Prashant Nair, Divya Mahajan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas Diggavi, Mani Srivastava, Tarek Abdelzaher
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network
Hatef Otroshi Shahreza, Sébastien Marcel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FaceComposer: A Unified Model for Versatile Facial Content Creation
Jiayu Wang, Kang Zhao, Yifeng Ma, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Hao ZHANG, Tianyuan DAI, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
Cai Zhou, Xiyuan Wang, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Facing Off World Model Backbones: RNNs, Transformers, and S4
Fei Deng, Junyeong Park, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang, Zihao Deng, Martin Q. Ma, James Y Zou, Louis-Philippe Morency, Ruslan Salakhutdinov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Failure-Aware Gaussian Process Optimization with Regret Bounds
Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fair Adaptive Experiments
Waverly Wei, Xinwei Ma, Jingshen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fair Allocation of Indivisible Chores: Beyond Additive Costs
Bo Li, Fangxiao Wang, Yu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fair Canonical Correlation Analysis
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fair Graph Distillation
Qizhang Feng, Zhimeng (Stephen) Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering
Marina Knittel, Max Springer, John Dickerson, MohammadTaghi Hajiaghayi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
zheng zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fairness Aware Counterfactuals for Subgroups
Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Emiris
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fairness-guided Few-shot Prompting for Large Language Models
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang (Lorraine) Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
False Discovery Proportion control for aggregated Knockoffs
Alexandre Blain, Bertrand Thirion, Olivier Grisel, Pierre Neuvial
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fantastic Robustness Measures: The Secrets of Robust Generalization
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
Machine Learning
日本大学: 関与なし（対象大学）