ICLR

2022–2026 LIVE

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Machine Learning

2022 · 1,095 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 · ICLR
Granger causal inference on DAGs identifies genomic loci regulating transcription
Alexander Wu, Rohit Singh, Bonnie Berger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction
Mingyue Tang, Pan Li, Carl Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph Condensation for Graph Neural Networks
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Enyan Dai, Jie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning
Jiarui Jin, Sijin Zhou, Weinan Zhang, Tong He, Yong Yu, Rasool Fakoor
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph-Relational Domain Adaptation
Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
Joonhyung Park, Jaeyun Song, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Graphon based Clustering and Testing of Networks: Algorithms and Theory
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
GreaseLM: Graph REASoning Enhanced Language Models
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher Manning, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Group equivariant neural posterior estimation
Maximilian Dax, Stephen Green, Jonathan Gair, Michael Deistler, Bernhard Schoelkopf, Jakob Macke
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training
PengCheng Yang, Xiaoming Zhang, Wenpeng Zhang, Ming Yang, Hong Wei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Half-Inverse Gradients for Physical Deep Learning
Patrick Schnell, Philipp Holl, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitan Wu, Hengrui Zhang, Junchi Yan, David Wipf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M Marlin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M Pauly, Morteza Mardani, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hierarchical Few-Shot Imitation with Skill Transition Models
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du, Xiantong Zhen, Ling Shao, Cees G Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
Ali Kavis, Kfir Y Levy, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
High Probability Generalization Bounds with Fast Rates for Minimax Problems
Shaojie Li, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Michael Wan, Jian Peng, Tanmay Gangwani
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
Yurong You, Katie Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
Ashwin Paranjape, Omar Khattab, Christopher Potts, Peter Bailis, Christopher Manning
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval
Binjie Zhang, Yixiao Ge, Yantao Shen, Yu Li, Chun Yuan, XUYUAN XU, Yexin Wang, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Attentive are Graph Attention Networks?
Shaked Brody, Uri Alon, Eran Yahav
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Lingjiao Chen, Peter Bailis, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Do Vision Transformers Work?
Namuk Park, Songkuk Kim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang Yoo, In Kweon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Low Can We Go: Trading Memory for Error in Low-Precision Training
Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing HONG, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How many degrees of freedom do we need to train deep networks: a loss landscape perspective
Brett Larsen, Stanislav Fort, Nic Becker, Surya Ganguli
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How to Train Your MAML to Excel in Few-Shot Classification
Han-Jia Ye, Wei-Lun Chao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How to deal with missing data in supervised deep learning?
Niels Ipsen, Pierre-Alexandre Mattei, Jes Frellsen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
shuai ZHANG, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Huber Additive Models for Non-stationary Time Series Analysis
Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Boyan Li, Hongyao Tang, YAN ZHENG, Jianye HAO, Pengyi Li, Zhen Wang, Zhaopeng Meng, LI Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
Yuanxiong Guo, Ying Sun, Rui Hu, Yanmin Gong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Tuan Anh Le, Katherine Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel Gershman, Joshua B Tenenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hybrid Random Features
Krzysztof Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
Ziniu Li, Yingru Li, Yushun Zhang, Tong Zhang, Zhi-Quan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot, Thomas Steinke
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
QI LI, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas Guibas
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
IGLU: Efficient GCN Training via Lazy Updates
S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, SUNDARARAJAN SELLAMANICKAM
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Illiterate DALL-E Learns to Compose
Gautam Singh, Fei Deng, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Image BERT Pre-training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Imbedding Deep Neural Networks
Andrew Corbett, Dmitry Kangin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Imitation Learning by Reinforcement Learning
Kamil Ciosek
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Imitation Learning from Observations under Transition Model Disparity
Tanmay Gangwani, Yuan Zhou, Jian Peng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Implicit Bias of Adversarial Training for Deep Neural Networks
Bochen Lyu, Zhanxing Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks
Benjamin Bowman, Guido Montufar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
Paris Giampouras, Benjamin Haeffele, Rene Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla, Surbhi Singla, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Rob Brekelmans, Sicong(Sheldon) Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Grosse, Alireza Makhzani
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Improving Non-Autoregressive Translation Models Without Distillation
Xiao Shi (Gary) Huang, Felipe Perez, Maksims Volkovs
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Improving the Accuracy of Learning Example Weights for Imbalance Classification
Yuqi Liu, Bin Cao, JING FAN
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon, Murray Shanahan, Francesco Belardinelli
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Adam Dziedzic, Muhammad Ahmad Kaleem, Yu Shen Lu, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Octavian Ganea, xinyuan huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi Jaakkola, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Inductive Relation Prediction Using Analogy Subgraph Embeddings
Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
InfinityGAN: Towards Infinite-Pixel Image Synthesis
Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Stephan Lorenzen, Christian Igel, Mads Nielsen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels
Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin CUI
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Information Prioritization through Empowerment in Visual Model-based RL
Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Information-theoretic Online Memory Selection for Continual Learning
Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Interacting Contour Stochastic Gradient Langevin Dynamics
Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Invariant Causal Representation Learning for Out-of-Distribution Generalization
Chaochao Lu, Yuhuai Wu, José Miguel Hernández Lobato, Bernhard Schoelkopf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Alex Chan, Alicia Curth, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck, Carla Gomes, Kilian Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Wang, Niladri Chatterji, Saminul Haque, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation
Yuqing Du, Pieter Abbeel, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, laurent amsaleg, Konstantinos Karantzalos, Yannis Avrithis
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Sachin Konan, Esmaeil Seraj, Matthew Gombolay
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Joint Shapley values: a measure of joint feature importance
Chris Harris, Richard Pymar, Colin Rowat
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
KL Guided Domain Adaptation
A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip Torr, Atilim Gunes Baydin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
Edward Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Know Your Action Set: Learning Action Relations for Reinforcement Learning
Ayush Jain, Norio Kosaka, Kyung-Min Kim, Joseph Lim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Knowledge Infused Decoding
Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, CHONGYANG GAO, Soroush Vosoughi, Milad Shokouhi, Ahmed H Awadallah
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Knowledge Removal in Sampling-based Bayesian Inference
Shaopeng Fu, Fengxiang He, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
L0-Sparse Canonical Correlation Analysis
Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL
Wei Lu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Oliver Slumbers, Feifei Tong, Jiangcheng Zhu, Yaodong Yang, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations
Jaehoon Lee, Jeon Jinsung, Sheo yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）