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

2022 · 2,671 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。

2022 · NeurIPS
Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
Artyom Sorokin, Nazar Buzun, Leonid Pugachev, Mikhail Burtsev
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Explainability Via Causal Self-Talk
Nicholas A. Roy, Junkyung Kim, Neil Rabinowitz
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein, Nitsan levy, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S Rosenschein, Sarah Keren
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Explaining Preferences with Shapley Values
Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Explicable Policy Search
Ze Gong, Yu ("Tony") Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploitability Minimization in Games and Beyond
Denizalp Goktas, Amy Greenwald
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploiting Semantic Relations for Glass Surface Detection
Jiaying Lin, Yuen-Hei Yeung, Rynson Lau
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Fan Wang, Adams Wai Kin Kong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploration via Elliptical Episodic Bonuses
Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark Boyer, Stefano Ermon, Jeff G. Schneider, Willie Neiswanger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring Example Influence in Continual Learning
Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring Figure-Ground Assignment Mechanism in Perceptual Organization
Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring Length Generalization in Large Language Models
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring evolution-aware & -free protein language models as protein function predictors
Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring the Latent Space of Autoencoders with Interventional Assays
Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring the Whole Rashomon Set of Sparse Decision Trees
Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exploring through Random Curiosity with General Value Functions
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exponential Family Model-Based Reinforcement Learning via Score Matching
Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exponential Separations in Symmetric Neural Networks
Aaron Zweig, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand, Justin Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
Peng Jiang, Lihan Hu, Shihui Song
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Extracting computational mechanisms from neural data using low-rank RNNs
Adrian Valente, Jonathan W Pillow, Srdjan Ostojic
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FIRE: Semantic Field of Words Represented as Non-Linear Functions
Xin Du, Kumiko Tanaka-Ishii
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
FNeVR: Neural Volume Rendering for Face Animation
Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
Qiao Feng, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FP8 Quantization: The Power of the Exponent
Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FR: Folded Rationalization with a Unified Encoder
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, YuanKai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Tong Mu, Yash Chandak, Tatsunori B Hashimoto, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching
Wonyong Jeong, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Factuality Enhanced Language Models for Open-Ended Text Generation
Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale N Fung, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair Bayes-Optimal Classifiers Under Predictive Parity
Xianli Zeng, Edgar Dobriban, Guang Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre Dognin, Kush R Varshney
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair Rank Aggregation
Diptarka Chakraborty, Syamantak Das, Arindam Khan, Aditya Subramanian
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra, Nisheeth Vishnoi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair Wrapping for Black-box Predictions
Alexander Soen, Ibrahim M Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair and Efficient Allocations Without Obvious Manipulations
Alexandros Psomas, Paritosh Verma
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fair and Optimal Decision Trees: A Dynamic Programming Approach
Jacobus van der Linden, Mathijs de Weerdt, Emir Demirović
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fairness Reprogramming
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fairness in Federated Learning via Core-Stability
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fairness without Demographics through Knowledge Distillation
Junyi Chai, Taeuk Jang, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search
Ninh Pham, Tao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Falsification before Extrapolation in Causal Effect Estimation
Zeshan M Hussain, Michael Oberst, Ming-Chieh Shih, David Sontag
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Algorithms for Packing Proportional Fairness and its Dual
Francisco Criado, David Martinez-Rubio, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
Cian Naik, Judith Rousseau, Trevor Campbell
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
Hideaki Kim, Taichi Asami, Hiroyuki Toda
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A Osborne
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Distance Oracles for Any Symmetric Norm
Yichuan Deng, Zhao Song, OMRI WEINSTEIN, Ruizhe Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Instrument Learning with Faster Rates
Ziyu Wang, Yuhao Zhou, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
Zhiyuan Li, Tianhao Wang, Dingli Yu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Neural Kernel Embeddings for General Activations
Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien Taylor
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fast Vision Transformers with HiLo Attention
Zizheng Pan, Jianfei Cai, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Faster Deep Reinforcement Learning with Slower Online Network
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J Smola
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Faster Linear Algebra for Distance Matrices
Piotr Indyk, Sandeep Silwal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Lesi Chen, Boyuan Yao, Luo Luo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Elfarouk Harb, Kent Quanrud, Chandra Chekuri
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FasterRisk: Fast and Accurate Interpretable Risk Scores
Jiachang Liu, Chudi Zhong, Boxuan Li, Margo Seltzer, Cynthia Rudin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fault-Aware Neural Code Rankers
Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madanlal Musuvathi, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FeLMi : Few shot Learning with hard Mixup
Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot, Eugene Golikov, Clement Hongler, Franck Gabriel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Feature-Proxy Transformer for Few-Shot Segmentation
Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning
A. Tuan Nguyen, Philip Torr, Ser Nam Lim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan, Guodong Long, Jie Ma, LU LIU, Tianyi Zhou, Jing Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Federated Submodel Optimization for Hot and Cold Data Features
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, yanghe feng, Guihai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-Shot Audio-Visual Learning of Environment Acoustics
Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-Shot Continual Active Learning by a Robot
Ali Ayub, Carter Fendley
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-Shot Fast-Adaptive Anomaly Detection
Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser Nam Lim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin A Raffel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man (Man) Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang, Hongyu Ren, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Dongkuan (DK) Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Wegner, Konrad Schindler
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou, Ziqing MA, xue wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach
Ziyi Chen, Shaocong Ma, Yi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz, Sarah Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt, Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo, Yujun Li, Cheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Finding and Listing Front-door Adjustment Sets
Hyunchai Jeong, Jin Tian, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Jiechao Guan, Yong Liu, Zhiwu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Juncheng Li, XIN HE, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, YUQI ZHU, Zhi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
Jue WANG, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Fine-tuning language models to find agreement among humans with diverse preferences
Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Finite Sample Analysis Of Dynamic Regression Parameter Learning
Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer
Machine Learning
日本大学: 関与なし（対象大学）