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
Counterfactual Temporal Point Processes
Kimia Noorbakhsh, Manuel Rodriguez
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Counterfactual harm
Jonathan Richens, Rory Beard, Daniel H. Thompson
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain BRÉGIER, Yohann Cabon, Vaibhav ARORA, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, Jerome Revaud
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Cross Aggregation Transformer for Image Restoration
Zheng Chen, Yulun Zhang, Jinjin Gu, yongbing zhang, Linghe Kong, Xin Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Cross-Image Context for Single Image Inpainting
Tingliang Feng, Wei Feng, Weiqi Li, Di Lin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Cross-Linked Unified Embedding for cross-modality representation learning
Xinming Tu, Zhi-Jie Cao, xia chenrui, Sara Mostafavi, Ge Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Cross-modal Learning for Image-Guided Point Cloud Shape Completion
Emanuele Aiello, Diego Valsesia, Enrico Magli
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Cryptographic Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Cansu Sancaktar, Sebastian Blaes, Georg Martius
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, DING ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan Rossi, Vishwa Vinay, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello, Bryon Aragam, Pradeep K. Ravikumar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DARE: Disentanglement-Augmented Rationale Extraction
Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DENSE: Data-Free One-Shot Federated Learning
Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros, Gesualdo Scutari
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu, Zhiqing Sun, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho, Nuno Vasconcelos
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DNA: Proximal Policy Optimization with a Dual Network Architecture
Matthew Aitchison, Penny Sweetser
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-Francois Chamberland
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan LI, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
Gang Li, Xiang Li, Yujie Wang, Wu Yichao, Ding Liang, Shanshan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Oztireli
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
Sujin Jang, Joohan Na, Dokwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju, Jordan Awan, Ruobin Gong, Vinayak Rao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
Elliott Gordon-Rodriguez, Thomas Quinn, John P. Cunningham
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James L. McClelland, Felix Hill
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data augmentation for efficient learning from parametric experts
Alexandre Galashov, Josh S Merel, Nicolas Heess
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data-Driven Conditional Robust Optimization
Abhilash Reddy Chenreddy, Nymisha Bandi, Erick Delage
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data-Driven Offline Decision-Making via Invariant Representation Learning
Han Qi, Yi Su, Aviral Kumar, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu, Baharan Mirzasoleiman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
Allen Nie, Yannis Flet-Berliac, Deon Jordan, William Steenbergen, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi, Suraj Srinivas, Simon Lacoste-Julien
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DataMUX: Data Multiplexing for Neural Networks
Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Karthik Narasimhan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Dataset Distillation using Neural Feature Regression
Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Dataset Distillation via Factorization
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Dataset Inference for Self-Supervised Models
Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes
Jia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang, Jussi Keppo, Ying Shan, Xiaohu Qie, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen, Vasilis Syrgkanis, Morgane Austern
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
Hongda Sun, Shufang Xie, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
Ruofan Liu, Yun Lin, XIANGLIN YANG, Jin Song Dong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov, Pavel Dvurechenskii, Anastasiia Koloskova, Valentin Samokhin, Sebastian U Stich, Alexander Gasnikov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decentralized Training of Foundation Models in Heterogeneous Environments
Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam, Benjamin Van Roy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, Ferdinando Cicalese, Eduardo Laber, Marco Molinaro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Donghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decoupled Context Processing for Context Augmented Language Modeling
Zonglin Li, Ruiqi Guo, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decoupled Self-supervised Learning for Graphs
Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, GUANNAN JIANG, Xi Wang, Chengjie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
Zongxin Yang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy Liang, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Combinatorial Aggregation
Yuesong Shen, Daniel Cremers
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Compression of Pre-trained Transformer Models
Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi (Viji) Srinivasan, Leland Chang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Counterfactual Estimation with Categorical Background Variables
Edward De Brouwer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Differentiable Logic Gate Networks
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Ensembles Work, But Are They Necessary?
Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, Richard S. Zemel, John P. Cunningham
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle, Zhengyang Geng, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Fourier Up-Sampling
man zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, Chongyi Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Generalized Schrödinger Bridge
Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos Theodorou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Generative Model for Periodic Graphs
Shiyu Wang, Xiaojie Guo, Liang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Hierarchical Planning from Pixels
Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa, David Bellamy, Tom Kolokotrones, james m robins, Andrew Beam
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Model Reassembly
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep Surrogate Assisted Generation of Environments
Varun Bhatt, Bryon Tjanaka, Matthew Fontaine, Stefanos Nikolaidis
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deep invariant networks with differentiable augmentation layers
Cédric ROMMEL, Thomas Moreau, Alexandre Gramfort
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning
Yuko Ishiwaka, Xiao Zeng, Shun Ogawa, Donovan Westwater, Tadayuki Tone, Masaki Nakada
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DeepInteraction: 3D Object Detection via Modality Interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu, Lin Liu, Zhonghua Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs
Khaled Nakhleh, I-Hong Hou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Defending Against Adversarial Attacks via Neural Dynamic System
Xiyuan Li, Zou Xin, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Defining and Characterizing Reward Gaming
Joar Skalse, Nikolaus Howe, Dmitrii Krasheninnikov, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc V Gool
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Lin Chen, Zhixiang Wei, Xin Jin, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Delving into Sequential Patches for Deepfake Detection
Jiazhi Guan, Hang Zhou, Zhibin Hong, Errui Ding, Jingdong Wang, Chengbin Quan, Youjian Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
Machine Learning
日本大学: 関与なし（対象大学）