NeurIPS

2022–2026 LIVE

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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
Adversarial Attacks on Online Learning to Rank with Click Feedback
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Counterfactual Environment Model Learning
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, ZhiHua Yu, Chen Zhenjun, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Huang Fangsheng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Examples Are Not Real Features
Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Odelia Melamed, Gilad Yehudai, Gal Vardi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Ambar Pal, Jeremias Sulam, Rene Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Learning for Feature Shift Detection and Correction
Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander Ioannidis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Model for Offline Reinforcement Learning
Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Resilience in Sequential Prediction via Abstention
Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Robustness through Random Weight Sampling
Yanxiang Ma, Minjing Dong, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
Lianghe Shi, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarial Training from Mean Field Perspective
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Machine Learning
日本大学: 千葉大学 / 東京大学
2023 · NeurIPS
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
Zhongzheng Xiong, Xiaoyi Zhu, zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Adversarially Robust Learning with Uncertain Perturbation Sets
Tosca Lechner, Vinayak Pathak, Ruth Urner
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Advice Querying under Budget Constraint for Online Algorithms
Ziyad Benomar, Vianney Perchet
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Affinity-Aware Graph Networks
Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Kilian Pfeiffer, Ramin Khalili, Joerg Henkel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Agnostic Multi-Group Active Learning
Nicholas Rittler, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Agnostically Learning Single-Index Models using Omnipredictors
Aravind Gollakota, Parikshit Gopalan, Adam Klivans, Konstantinos Stavropoulos
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
AiluRus: A Scalable ViT Framework for Dense Prediction
Jin Li, Yaoming Wang, XIAOPENG ZHANG, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
Chaoyue Liu, Dmitriy Drusvyatskiy, Misha Belkin, Damek Davis, Yian Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Hao Wang, Luxi He, Rui Gao, Flavio Calmon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert Nowak
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
Jameel Abdul Samadh, Mohammad Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muhammad Muzammal Naseer, Fahad Shahbaz Khan, Salman H Khan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aligning Gradient and Hessian for Neural Signed Distance Function
Ruian Wang, Zixiong Wang, Yunxiao Zhang, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aligning Language Models with Human Preferences via a Bayesian Approach
Jiashuo WANG, Haozhao Wang, Shichao Sun, Wenjie Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Shenghuan Sun, Greg Goldgof, Atul Butte, Ahmed M. Alaa
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky, Tom Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
Tao Fang, Qian Zheng, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Alternating Updates for Efficient Transformers
Cenk Baykal, Dylan Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Alternation makes the adversary weaker in two-player games
Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
AmadeusGPT: a natural language interface for interactive animal behavioral analysis
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie Mathis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam Klivans
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
Kevin Course, Prasanth Nair
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
Marc Jourdan, Rémy Degenne, Emilie Kaufmann
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Adaptive Algorithm for Learning with Unknown Distribution Drift
Alessio Mazzetto, Eli Upfal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
Quan Xiao, Songtao Lu, Tianyi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Diego Martinez Taboada, Aaditya Ramdas, Edward Kennedy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination
Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
Mengzhao Wang, Lingwei Lv, Xiaoliang Xu, Yuxiang Wang, Qiang Yue, Jiongkang Ni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits
Shinji Ito, Kei Takemura
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Inductive Bias for Tabular Deep Learning
Ege Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal Fadlallah
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
Mohammad Jalali, Cheuk Ting Li, Farzan Farnia
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Inverse Scaling Law for CLIP Training
Xianhang Li, Zeyu Wang, Cihang Xie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Iterative Self-Learning Framework for Medical Domain Generalization
Zhenbang Wu, Huaxiu Yao, David Liebovitz, Jimeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
Michael Scholkemper, Michael T Schaub
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An active learning framework for multi-group mean estimation
Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
An information-theoretic quantification of the content of communication between brain regions
Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana Hanganu-Opatz, Tobias Donner, Andrea Brovelli, Stefano Panzeri
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Analysis of Variance of Multiple Causal Networks
Zhongli Jiang, Dabao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Analyzing Generalization of Neural Networks through Loss Path Kernels
Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam Nguyen, Lily Weng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Analyzing Vision Transformers for Image Classification in Class Embedding Space
Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug, Dogukan Atik, Reinhard Heckel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Anchor Data Augmentation
Nora Schneider, Shirin Goshtasbpour, Fernando Perez-Cruz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie, Shuang Li, Qingju Guo, Chi Liu, Xinjing Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
Adel Javanmard, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Anonymous and Copy-Robust Delegations for Liquid Democracy
Markus Utke, Ulrike Schmidt-Kraepelin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
Kruno Lehman, Alain Durmus, Umut Simsekli
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Approximate inference of marginals using the IBIA framework
Shivani Bathla, Vinita Vasudevan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Approximately Equivariant Graph Networks
Ningyuan Huang, Ron Levie, Soledad Villar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Mircea Petrache, Shubhendu Trivedi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Yulun Zhang, Matthew Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Are GATs Out of Balance?
Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
Lalit Pandey, Samantha Wood, Justin Wood
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Are aligned neural networks adversarially aligned?
Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Pang Wei W Koh, Daphne Ippolito, Florian Tramer, Ludwig Schmidt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
Tianhe Wu, Shuwei Shi, Haoming Cai, Mingdeng Cao, Jing Xiao, Yinqiang Zheng, Yujiu Yang
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Assumption violations in causal discovery and the robustness of score matching
Francesco Montagna, Atalanti Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Samuel Pfrommer, Brendon Anderson, Julien Piet, Somayeh Sojoudi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
Evelyn Xiao-Yue Gong, Mark Sellke
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling
Yoav Kolumbus, Menahem Levy, Noam Nisan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Attacks on Online Learners: a Teacher-Student Analysis
Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Attention as Implicit Structural Inference
Ryan Singh, Christopher L Buckley
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
Xiaolei Ru, XINYA ZHANG, Zijia Liu, Jack Murdoch Moore, Gang Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
Chaofan Ma, Yang Yuhuan, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Auditing Fairness by Betting
Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Auditing for Human Expertise
Rohan Alur, Loren Laine, Darrick Li, Manish Raghavan, Devavrat Shah, Dennis Shung
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）