ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind Picard
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DIVA: Dataset Derivative of a Learning Task
Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron Courville, George Tucker, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E Gonzalez, Peter Vajda
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Data Poisoning Won’t Save You From Facial Recognition
Evani Radiya-Dixit, Sanghyun Hong, Nicholas Carlini, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Aviral Kumar, Amir Yazdanbakhsh, Milad Hashemi, Kevin Swersky, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Data-Efficient Graph Grammar Learning for Molecular Generation
Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
Minghao Han, Jacob Euler-Rolle, Robert Katzschmann
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi To Wai, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Declarative nets that are equilibrium models
Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver, Marc A Finzi, Samuel Stanton, Andrew Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang, baixu chen, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deep Attentive Variational Inference
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deep AutoAugment
Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Mocanu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang, Aleksandar Botev, James Martens
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deep Point Cloud Reconstruction
Jaesung Choe, ByeongIn Joung, Francois Rameau, Jaesik Park, In Kweon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Deep ReLU Networks Preserve Expected Length
Boris Hanin, Ryan Jeong, David Rolnick
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Defending Against Image Corruptions Through Adversarial Augmentations
Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andras Gyorgy, Timothy A Mann, Sven Gowal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Delaunay Component Analysis for Evaluation of Data Representations
Petra Poklukar, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M Pauly, Morteza Mardani, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
Hadi Abdullah, Aditya Karlekar, Vincent Bindschaedler, Patrick Traynor
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DictFormer: Tiny Transformer with Shared Dictionary
Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B Tenenbaum, David Held, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentiable DAG Sampling
Bertrand Charpentier, Simon Kibler, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentiable Expectation-Maximization for Set Representation Learning
Minyoung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image
Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, trevor darrell
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentiable Scaffolding Tree for Molecule Optimization
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor Coley, Jimeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentially Private Fine-tuning of Language Models
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
Lun Wang, Iosif Pinelis, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Pierre-Alexandre Kamienny, Jean Tarbouriech, sylvain lamprier, Alessandro Lazaric, Ludovic Denoyer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Discovering Invariant Rationales for Graph Neural Networks
Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Discovering Latent Concepts Learned in BERT
Fahim Dalvi, Abdul Khan, Firoj Alam, Nadir Durrani, Jia Xu, Hassan Sajjad
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Chengping Rao, Pu Ren, Yang Liu, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Discrepancy-Based Active Learning for Domain Adaptation
Antoine De mathelin, François Deheeger, Mathilde MOUGEOT, Nicolas Vayatis
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Discrete Representations Strengthen Vision Transformer Robustness
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Discriminative Similarity for Data Clustering
Yingzhen Yang, Ping Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Disentanglement Analysis with Partial Information Decomposition
Seiya Tokui, Issei Sato [東京科学大学] [東京大学]
Machine Learning
日本大学: 東京科学大学 / 東京大学
2022 · ICLR
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
Yaxing Wang, Joost van de Weijer, Lu Yu, SHANGLING JUI
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Distribution Compression in Near-Linear Time
Abhishek Shetty, Raaz Dwivedi, Lester Mackey
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Distributional Reinforcement Learning with Monotonic Splines
Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Distributionally Robust Fair Principal Components via Geodesic Descents
Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel, Tatsunori Hashimoto, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konečný, Andrew Hard, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Dive Deeper Into Integral Pose Regression
Kerui Gu, Linlin Yang, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Diverse Client Selection for Federated Learning via Submodular Maximization
Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff Bilmes
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
Michelle Miller, SueYeon Chung, Ken Miller
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Jaewoong Choi, Junho Lee, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Do We Need Anisotropic Graph Neural Networks?
Shyam Tailor, Felix Opolka, Pietro Lio, Nicholas Lane
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Do deep networks transfer invariances across classes?
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George Pappas, Hamed Hassani, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Domain Adversarial Training: A Game Perspective
David Acuna, Marc T Law, Guojun Zhang, Sanja Fidler
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Y Zou, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtarik, Michael W Mahoney, Martin Takac
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain, Alexandre Gramfort, Thomas Moreau
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto [東京科学大学] [東京大学], Takashi Onishi, Yoshimasa Tsuruoka
Machine Learning
日本大学: 東京科学大学 / 東京大学
2022 · ICLR
Dual Lottery Ticket Hypothesis
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Dynamic Token Normalization improves Vision Transformers
Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, XUYUAN XU, Xiaogang Wang, Ying Shan, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Dynamics-Aware Comparison of Learned Reward Functions
Blake W Wulfe, Logan Ellis, Jean Mercat, Rowan T McAllister, Adrien Gaidon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
EViT: Expediting Vision Transformers via Token Reorganizations
Youwei Liang, Chongjian GE, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Effect of scale on catastrophic forgetting in neural networks
Vinay Ramasesh, Aitor Lewkowycz, Ethan Dyer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong Dae Kwon, Kevin Tierney
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
Greg Yang, Michael Santacroce, Edward Hu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Quanyi Li, Zhenghao Peng, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Neural Causal Discovery without Acyclicity Constraints
Phillip Lippe, Taco Cohen, Efstratios Gavves
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey T Zhou, Liangli Zhen, Rick Goh, Vincent Tan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficient and Differentiable Conformal Prediction with General Function Classes
Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu, Karan Goel, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
EigenGame Unloaded: When playing games is better than optimizing
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
Rui Pan, Haishan Ye, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
Alex Rogozhnikov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
Xingyu Wang, Sewoong Oh, Chang-Han Rhee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Emergent Communication at Scale
Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Wang Ling, Wojciech Stokowiec, Domenic Donato, Chris Dyer, Lei Yu, Laurent Sartran, Austin Matthews
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
baeseong park, Se Jung Kwon, Daehwan Oh, Byeonguk Kim, Dongsoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
End-to-End Learning of Probabilistic Hierarchies on Graphs
Daniel Zügner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Energy-Inspired Molecular Conformation Optimization
Jiaqi Guan, Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Enhancing Cross-lingual Transfer by Manifold Mixup
Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
EntQA: Entity Linking as Question Answering
Wenzheng Zhang, Wenyue Hua, Karl Stratos
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Environment Predictive Coding for Visual Navigation
Santhosh Kumar Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Equivariant Graph Mechanics Networks with Constraints
Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Rumen R Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
Machine Learning
日本大学: 関与なし（対象大学）
2022 · ICLR
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, GOPINATH BALAMURUGAN, Michael Bronstein, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）