NeurIPS

2022–2026 LIVE

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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
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Zhiyuan Li, Tianhao Wang, Jason Lee, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Implicit Neural Representations with Levels-of-Experts
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
Courtney Paquette, Elliot Paquette, Ben Adlam, Jeffrey Pennington
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Implicit Warping for Animation with Image Sets
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Algorithms for Neural Active Learning
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D Rao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization
Yuri Kinoshita, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Improved Coresets for Euclidean $k$-Means
Vincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris Schwiegelshohn, Omar Ali Sheikh-Omar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
Sergey Denisov, H. Brendan McMahan, John Rush, Adam Smith, Abhradeep Guha Thakurta
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Feature Distillation via Projector Ensemble
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Imaging by Invex Regularizers with Global Optima Guarantees
Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved Utility Analysis of Private CountSketch
Rasmus Pagh, Mikkel Thorup
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improved techniques for deterministic l2 robustness
Sahil Singla, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator
Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Certified Robustness via Statistical Learning with Logical Reasoning
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlaš, Ji Liu, Heng Guo, Ce Zhang, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving GANs with A Dynamic Discriminator
Ceyuan Yang, Yujun Shen, Yinghao Xu, Deli Zhao, Bo Dai, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Intrinsic Exploration with Language Abstractions
Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah Goodman, Tim Rocktäschel, Edward Grefenstette
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Multi-Task Generalization via Regularizing Spurious Correlation
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed Chi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley Osher, Thieu Vo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Policy Learning via Language Dynamics Distillation
Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois, Stefano Ermon, Tatsunori B Hashimoto, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
Long-Kai Huang, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Transformer with an Admixture of Attention Heads
Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Khuong Duy Nguyen, Nhat Ho, Stanley Osher
Machine Learning
日本大学: 北陸先端科学技術大学院大学
2022 · NeurIPS
Improving Variational Autoencoders with Density Gap-based Regularization
Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan J Tompson
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan K Mudigonda
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
JIAQI WANG, Roei Schuster, I Shumailov, David Lie, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Tim Doster, Jesse Lew
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Incentivizing Combinatorial Bandit Exploration
Xinyan Hu, Dung Ngo, Aleksandrs Slivkins, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inception Transformer
Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Increasing Confidence in Adversarial Robustness Evaluations
Roland S. Zimmermann, Wieland Brendel, Florian Tramer, Nicholas Carlini
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Independence Testing for Bounded Degree Bayesian Networks
Arnab Bhattacharyya, Clément L Canonne, Qiping Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
Haoyue Dai, Peter Spirtes, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Nie, Zhaoran Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inductive Logical Query Answering in Knowledge Graphs
Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inference and Sampling for Archimax Copulas
Yuting Ng, Ali Hasan, Vahid Tarokh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva, Mehak Dhaliwal, Carole-Jean Wu, Julian J. Mcauley
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Infinite-Fidelity Coregionalization for Physical Simulation
Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P How
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
Vudtiwat Ngampruetikorn, David J Schwab
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Information-Theoretic GAN Compression with Variational Energy-based Model
Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong Euk Lee, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Information-Theoretic Safe Exploration with Gaussian Processes
Alessandro Bottero, Carlos Luis, Julia Vinogradska, Felix Berkenkamp, Jan R Peters
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inherently Explainable Reinforcement Learning in Natural Language
Xiangyu Peng, Mark Riedl, Prithviraj Ammanabrolu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui, Daniel Karls, Mingjian Wen, ilia Nikiforov, Ellad Tadmor, George Karypis
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model
Sidi Lu, Tao Meng, Nanyun Peng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
Fei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao, Kaiqi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Insights into Pre-training via Simpler Synthetic Tasks
Yuhuai Wu, Felix Li, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Instability and Local Minima in GAN Training with Kernel Discriminators
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy, Daniel Lowd
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker, Kevin G. Jamieson
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Instance-based Learning for Knowledge Base Completion
Wanyun Cui, Xingran Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Instance-optimal PAC Algorithms for Contextual Bandits
Zhaoqi Li, Lillian Ratliff, houssam nassif, Kevin G. Jamieson, Lalit Jain
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit, Baruch Epstein, Shay Moran, Ron Meir
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Interaction Modeling with Multiplex Attention
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J Kochenderfer, Jiajun Wu, Nick Haber
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Interaction-Grounded Learning with Action-Inclusive Feedback
Tengyang Xie, Akanksha Saran, Dylan J Foster, Lekan Molu, Ida Momennejad, Nan Jiang, Paul Mineiro, John Langford
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation
YUANWEI LIU, Nian Liu, Xiwen Yao, Junwei Han
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Interpolation and Regularization for Causal Learning
Leena Chennuru Vankadara, Luca Rendsburg, Ulrike V. Luxburg, Debarghya Ghoshdastidar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
Miao Zhang, Wei Huang, Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Interventions, Where and How? Experimental Design for Causal Models at Scale
Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Intra-agent speech permits zero-shot task acquisition
Chen Yan, Federico Carnevale, Petko I Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Joshua Abramson, Timothy Lillicrap, Gregory Wayne
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Intrinsic dimensionality estimation using Normalizing Flows
Christian Horvat, Jean-Pascal Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Introspective Learning : A Two-Stage approach for Inference in Neural Networks
Mohit Prabhushankar, Ghassan AlRegib
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Invariance Learning based on Label Hierarchy
Shoji Toyota, Kenji Fukumizu
Machine Learning
日本大学: 総合研究大学院大学
2022 · NeurIPS
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Alexander Immer, Tycho van der Ouderaa, Gunnar Rätsch, Vincent Fortuin, Mark van der Wilk
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang, Victor Veitch
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators
Kelsey Allen, Tatiana Lopez-Guevara, Kimberly L Stachenfeld, Alvaro Sanchez Gonzalez, Peter Battaglia, Jessica B Hamrick, Tobias Pfaff
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Invertible Monotone Operators for Normalizing Flows
Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J Kim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Iron: Private Inference on Transformers
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
Chuwei Wang, Shanda Li, Di He, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Is Integer Arithmetic Enough for Deep Learning Training?
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Is Out-of-Distribution Detection Learnable?
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Is Sortition Both Representative and Fair?
Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel D Procaccia, Nisarg Shah
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Is a Modular Architecture Enough?
Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
Minting Pan, Xiangming Zhu, Yunbo Wang, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Isometric 3D Adversarial Examples in the Physical World
yibo miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Iterative Scene Graph Generation
Siddhesh Khandelwal, Leonid Sigal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Iterative Structural Inference of Directed Graphs
Aoran Wang, Jun Pang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Drew Prinster, Anqi Liu, Suchi Saria
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Joint Entropy Search For Maximally-Informed Bayesian Optimization
Carl Hvarfner, Frank Hutter, Luigi Nardi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Joint Entropy Search for Multi-Objective Bayesian Optimization
Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation
Hyeokjun Kweon, Kuk-Jin Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Jump Self-attention: Capturing High-order Statistics in Transformers
Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
K-LITE: Learning Transferable Visual Models with External Knowledge
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge, Alexander Rudnicky
Machine Learning
日本大学: 関与なし（対象大学）