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
KSD Aggregated Goodness-of-fit Test
Antonin Schrab, Benjamin Guedj, Arthur Gretton
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Kernel Interpolation with Sparse Grids
Mohit Yadav, Daniel R. Sheldon, Cameron Musco
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Kernel Memory Networks: A Unifying Framework for Memory Modeling
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Kernel Multimodal Continuous Attention
Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter Dempsey, James M. Rehg
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Kernel similarity matching with Hebbian networks
Kyle Luther, Sebastian Seung
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Knowledge Distillation from A Stronger Teacher
Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Knowledge Distillation: Bad Models Can Be Good Role Models
Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang, Yi.shi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunovic, Dimitar Dimitrov, Nikola Jovanović, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank
Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Daejin Jo, Sungwoong Kim, Daniel Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LGDN: Language-Guided Denoising Network for Video-Language Modeling
Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LION: Latent Point Diffusion Models for 3D Shape Generation
xiaohui zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LISA: Learning Interpretable Skill Abstractions from Language
Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
Jie-Jing Shao, Lan-Zhe Guo, Xiao-wen Yang, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
Xiaojun Xu, Linyi Li, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
SIQI WANG, Tee Hiang Cheng, Meng-Hiot Lim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong, Liyuan Liu, Jingbo Shang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels
Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Langevin Autoencoders for Learning Deep Latent Variable Models
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Laplacian Autoencoders for Learning Stochastic Representations
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte, Søren Hauberg
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Large-Scale Differentiable Causal Discovery of Factor Graphs
Romain Lopez, Jan-Christian Huetter, Jonathan Pritchard, Aviv Regev
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Large-Scale Retrieval for Reinforcement Learning
Peter Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Theophane Weber, Timothy Lillicrap
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao, Qihang Lin, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
Eduard Gorbunov, Adrien Taylor, Gauthier Gidel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Latent Hierarchical Causal Structure Discovery with Rank Constraints
Biwei Huang, Charles Jia Han Low, Feng Xie, Clark Glymour, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Latent Planning via Expansive Tree Search
Robert Gieselmann, Florian T. Pokorny
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue, Kaito Fujii, Satoru Iwata
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Tim Franzmeyer, Philip Torr, João F. Henriques
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez, Teck-Yian Lim, Alex Schwing, Minh Do, Raymond A. Yeh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning (Very) Simple Generative Models Is Hard
Sitan Chen, Jerry Li, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Active Camera for Multi-Object Navigation
Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas Li, Mingkui Tan, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Best Combination for Efficient N:M Sparsity
Yuxin Zhang, Mingbao Lin, ZhiHang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Bipartite Graphs: Heavy Tails and Multiple Components
José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Palomar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, MA Kaili, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Chaotic Dynamics in Dissipative Systems
Zongyi Li, Miguel Liu-Schiaffini, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Concept Credible Models for Mitigating Shortcuts
Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael Sjoding, Jenna Wiens
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Contrastive Embedding in Low-Dimensional Space
Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Learning Debiased Classifier with Biased Committee
Nayeong Kim, SEHYUN HWANG, Sungsoo Ahn, Jaesik Park, Suha Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Deep Input-Output Stable Dynamics
Ryosuke Kojima [東京科学大学] [京都大学], Yuji Okamoto
Machine Learning
日本大学: 東京科学大学 / 京都大学
2022 · NeurIPS
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Distinct and Representative Modes for Image Captioning
Qi Chen, Chaorui Deng, Qi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao, Zihan Ding
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
Saikiran Bulusu, Geethu Joseph, M. Cenk Gursoy, Pramod Varshney
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Energy Networks with Generalized Fenchel-Young Losses
Mathieu Blondel, Felipe Llinares-Lopez, Robert Dadashi, Leonard Hussenot, Matthieu Geist
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P Wipf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Equivariant Segmentation with Instance-Unique Querying
Wenguan Wang, James Liang, Dongfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
Qi Wang, Herke van Hoof
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Fractional White Noises in Neural Stochastic Differential Equations
Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip Ball, Oleh Rybkin, S Roberts, Tim Rocktäschel, Edward Grefenstette
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Generalizable Part-based Feature Representation for 3D Point Clouds
Xin Wei, Xiang Gu, Jian Sun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
Zhiyu Zhu, Junhui Hou, Xianqiang Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion
Haixu Ma, Donglin Zeng, Yufeng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness
GUOJUN XIONG, Shufan Wang, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Interface Conditions in Domain Decomposition Solvers
Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott MacLachlan, Luke Olson, Matthew West
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Invariant Graph Representations for Out-of-Distribution Generalization
Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Manifold Dimensions with Conditional Variational Autoencoders
Yijia Zheng, Tong He, Yixuan Qiu, David P Wipf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Mixed Multinomial Logits with Provable Guarantees
Yiqun Hu, David Simchi-Levi, Zhenzhen Yan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Modular Simulations for Homogeneous Systems
Jayesh Gupta, Sai Vemprala, Ashish Kapoor
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li, Nicolas Donati, Maks Ovsjanikov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
HYUNWOOK KANG, Taehwan Kwon, Jinkyoo Park, James R. Morrison
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Neural Acoustic Fields
Andrew Luo, Yilun Du, Michael Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Optical Flow from Continuous Spike Streams
Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Optimal Flows for Non-Equilibrium Importance Sampling
Yu Cao, Eric Vanden-Eijnden
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Options via Compression
Yiding Jiang, Evan Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Partial Equivariances From Data
David W. Romero, Suhas Lohit
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang, Justinian P. Rosca, Karthik Narasimhan, Peter J Ramadge
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Predictions for Algorithms with Predictions
Misha Khodak, Maria-Florina F Balcan, Ameet Talwalkar, Sergei Vassilvitskii
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Recourse on Instance Environment to Enhance Prediction Accuracy
Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
Jianda Chen, Sinno Pan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Robust Dynamics through Variational Sparse Gating
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences
Wenbo Zhang, likai tang, Site Mo, Xianggen Liu, Sen Song
Machine Learning
日本大学: 関与なし（対象大学）