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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
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Frequency Domain-Based Dataset Distillation
Donghyeok Shin, Seungjae Shin, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Defossez
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina N Toutanova
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
From Tempered to Benign Overfitting in ReLU Neural Networks
Guy Kornowski, Gilad Yehudai, Ohad Shamir
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
From Trainable Negative Depth to Edge Heterophily in Graphs
Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
Roy Uziel, Or Dinari, Oren Freifeld
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Full-Atom Protein Pocket Design via Iterative Refinement
ZAIXI ZHANG, Zepu Lu, Hao Zhongkai, Marinka Zitnik, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim, Hyungi Lee, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks
Matthew Farrugia-Roberts
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Functional Renyi Differential Privacy for Generative Modeling
Dihong Jiang, Sun Sun, Yaoliang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen, Junjie Li, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Jing Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GALOPA: Graph Transport Learning with Optimal Plan Alignment
Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
Ziang Li, Mengda Yang, Yaxin Liu, Juan Wang, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GEQ: Gaussian Kernel Inspired Equilibrium Models
Mingjie Li, Yisen Wang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GEX: A flexible method for approximating influence via Geometric Ensemble
SungYub Kim, Kyungsu Kim, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GLIME: General, Stable and Local LIME Explanation
Zeren Tan, Yang Tian, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
Mingzhen Sun, Weining Wang, Zihan Qin, Jiahui Sun, Sihan Chen, Jing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GMSF: Global Matching Scene Flow
Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssen, Maria Magnusson, Michael Felsberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GNeSF: Generalizable Neural Semantic Fields
Hanlin Chen, Chen Li, Mengqi Guo, Zhiwen Yan, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GPEX, A Framework For Interpreting Artificial Neural Networks
Amir Hossein Hosseini Akbarnejad, Gilbert Bigras, Nilanjan Ray
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
Shibal Ibrahim, Gabriel Afriat, Kayhan Behdin, Rahul Mazumder
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence
Hao Zheng, Hui Lin, Rong Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gacs-Korner Common Information Variational Autoencoder
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan Kao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Game Solving with Online Fine-Tuning
Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gaussian Differential Privacy on Riemannian Manifolds
Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gaussian Membership Inference Privacy
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gaussian Mixture Solvers for Diffusion Models
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan LI
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina Ramirez, Greggory Heller, Severine Durand, Shawn Olsen, Stefan Mihalas
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
Zi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths, Been Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
Rui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, Ronggang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
Machine Learning
日本大学: 大阪大学
2023 · NeurIPS
Generalised f-Mean Aggregation for Graph Neural Networks
Ryan Kortvelesy, Steven Morad, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalizable One-shot 3D Neural Head Avatar
Xueting Li, Shalini De Mello, Sifei Liu, Koki Nagano, Umar Iqbal, Jan Kautz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalization bounds for neural ordinary differential equations and deep residual networks
Pierre Marion
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalization in the Face of Adaptivity: A Bayesian Perspective
Moshe Shenfeld, Katrina Ligett
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Richard Gao, Michael Deistler, Jakob H Macke
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized Belief Transport
Junqi Wang, PEI WANG, Patrick Shafto
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized Information-theoretic Multi-view Clustering
Weitian Huang, Sirui Yang, Hongmin Cai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu, Kaihua Tang, QIANRU SUN, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang, RuiBing Hou, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized Weighted Path Consistency for Mastering Atari Games
Dengwei Zhao, Shikui Tu, Lei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized equivalences between subsampling and ridge regularization
Pratik Patil, Jin-Hong Du
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof J. Dembczynski
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Generalizing Nonlinear ICA Beyond Structural Sparsity
Yujia Zheng, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Shashank Hegde, Sumeet Batra, K.R. Zentner, Gaurav Sukhatme
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generating Images with Multimodal Language Models
Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generative Category-level Object Pose Estimation via Diffusion Models
Jiyao Zhang, Mingdong Wu, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi, Jaewoong Choi, Myungjoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Changyu CHEN, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha, Pradeep Varakantham
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generative Neural Fields by Mixtures of Neural Implicit Functions
Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generator Born from Classifier
Runpeng Yu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Generator Identification for Linear SDEs with Additive and Multiplicative Noise
Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
Takahiro Mimori, Michiaki Hamada
Machine Learning
日本大学: 早稲田大学
2023 · NeurIPS
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
Hyeonsu Kim, Jeheon Woo, SEONGHWAN KIM, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geometric Algebra Transformer
Johann Brehmer, Pim de Haan, Sönke Behrends, Taco S Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geometric Analysis of Matrix Sensing over Graphs
Haixiang Zhang, Ying Chen, Javad Lavaei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geometric Neural Diffusion Processes
Emile Mathieu, Vincent Dutordoir, Michael Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard Turner
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geometric Transformer with Interatomic Positional Encoding
Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geometry-Aware Adaptation for Pretrained Models
Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zongyi Li, Nikola Kovachki, Chris Choy, Boyi Li, Jean Kossaifi, Shourya Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Ibrahim M Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
Ziyi Bai, Ruiping Wang, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
Yajie Bao, Amarda Shehu, Mingrui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Global Identifiability of $\ell_1$-based Dictionary Learning via Matrix Volume Optimization
Jingzhou Hu, Kejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Global Optimality in Bivariate Gradient-based DAG Learning
Chang Deng, Kevin Bello, Pradeep K. Ravikumar, Bryon Aragam
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Global Structure-Aware Diffusion Process for Low-light Image Enhancement
Jinhui HOU, Zhiyu Zhu, Junhui Hou, Hui LIU, Huanqiang Zeng, Hui Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Globally injective and bijective neural operators
Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
Machine Learning
日本大学: 島根大学
2023 · NeurIPS
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
Martin Ryner, Jan Kronqvist, Johan Karlsson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GloptiNets: Scalable Non-Convex Optimization with Certificates
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng, Tianhao Wang, David Evans
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, YUHUI YUAN, Weicong Liang, Haisong Ding, Han Hu, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
Zilai Zeng, Ce Zhang, Shijie Wang, Chen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Goal-conditioned Offline Planning from Curious Exploration
Marco Bagatella, Georg Martius
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Going beyond persistent homology using persistent homology
Johanna Immonen, Amauri Souza, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
Anastasiia Koloskova, Ryan McKenna, Zachary Charles, John Rush, H. Brendan McMahan
Machine Learning
日本大学: 関与なし（対象大学）