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

2024 · 2,260 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。

2024 · ICLR
Large Language Models as Generalizable Policies for Embodied Tasks
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Katherine Metcalf, Walter Talbott, Natalie Mackraz, R Devon Hjelm, Alexander Toshev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models as Optimizers
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, Xinyun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models to Enhance Bayesian Optimization
Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
Jinyi Hu, Yuan Yao, Chongyi Wang, SHAN WANG, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, dahai li, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large-Vocabulary 3D Diffusion Model with Transformer
Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large-scale Training of Foundation Models for Wearable Biosignals
Salar Abbaspourazad, Oussama Elachqar, Andrew Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Latent 3D Graph Diffusion
Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forré, Ryota Tomioka, Bas Veeling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Layer-wise linear mode connectivity
Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning 3D Particle-based Simulators from RGB-D Videos
William Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly Stachenfeld, Kelsey Allen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Conditional Invariances through Non-Commutativity
Abhra Chaudhuri, Serban Georgescu, Anjan Dutta
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings
Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Energy Decompositions for Partial Inference in GFlowNets
Hyosoon Jang, Minsu Kim, Sungsoo Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
yaxuan zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, ILHO KIM, SeokWoo Lee, Joon Young Yang, SOOYOUNG YOON, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Florian Frantzen, Michael Schaub
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Grounded Action Abstractions from Language
Lio Wong, Jiayuan Mao, Pratyusha Sharma, Zachary Siegel, Jiahai Feng, Noa Korneev, Joshua B Tenenbaum, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Hierarchical Image Segmentation For Recognition and By Recognition
Tsung-Wei Ke, Sangwoo Mo, Stella Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Hierarchical Polynomials with Three-Layer Neural Networks
Zihao Wang, Eshaan Nichani, Jason Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Implicit Representation for Reconstructing Articulated Objects
Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Seyed Ghasemipour, Jonathan Tompson, Leslie Kaelbling, Dale Schuurmans, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
Jonas Seng, Matej Zečević, Devendra Singh Dhami, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
Christian Fabian, Kai Cui, Heinz Koeppl
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Multi-Agent Communication from Graph Modeling Perspective
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Multi-Agent Communication with Contrastive Learning
Yat Long (Richie) Lo, Biswa Sengupta, Jakob Foerster, Michael Noukhovitch
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Multi-Faceted Prototypical User Interests
Nhu-Thuat Tran, Hady W. Lauw
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Nash Equilibria in Rank-1 Games
Nikolas Patris, Ioannis Panageas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Optimal Contracts: How to Exploit Small Action Spaces
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor Coley, Yizhou Sun, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Performance-Improving Code Edits
Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Xueyang Tang, Song Guo, Jie ZHANG, Jingcai Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Planning Abstractions from Language
Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
Hannah Lawrence, Mitchell Harris
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
Jiaxu Wang, Ziyi Zhang, Renjing Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Li Ren, Chen Chen, Liqiang Wang, Kien Hua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning Thresholds with Latent Values and Censored Feedback
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning dynamic representations of the functional connectome in neurobiological networks
Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley, Eviatar Yemini, Steven Zucker
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning from Sparse Offline Datasets via Conservative Density Estimation
Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, DING ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning in reverse causal strategic environments with ramifications on two sided markets
Seamus Somerstep, Yuekai Sun, Yaacov Ritov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning interpretable control inputs and dynamics underlying animal locomotion
Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin, Christian Machens, Michael B. Orger, Adrien Jouary
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning invariant representations of time-homogeneous stochastic dynamical systems
Vladimir Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, massimiliano pontil
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning model uncertainty as variance-minimizing instance weights
Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
Ashutosh Singh, Ricardo Borsoi, Deniz Erdogmus, Tales Imbiriba
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning the greatest common divisor: explaining transformer predictions
François Charton
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Act from Actionless Videos through Dense Correspondences
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B Tenenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Act without Actions
Dominik Schmidt, Minqi Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Embed Time Series Patches Independently
Seunghan Lee, Taeyoung Park, Kibok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Jointly Understand Visual and Tactile Signals
Yichen Li, Yilun Du, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B Tenenbaum, Antonio Torralba, Wojciech Matusik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Make Adherence-aware Advice
Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Reject Meets Long-tail Learning
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Reject with a Fixed Predictor: Application to Decontextualization
Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
Mikhail Khodak, Edmond Chow, Nina Balcan, Ameet Talwalkar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to Solve Bilevel Programs with Binary Tender
Bo Zhou, Ruiwei Jiang, Siqian Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to design protein-protein interactions with enhanced generalization
Anton Bushuiev, Roman Bushuiev, Petr Kouba, Anatolii Filkin, Markéta Gabrielová, Michal Gabriel, Jiri Sedlar, Tomas Pluskal, Jiri Damborsky, Stanislav Mazurenko, Josef Sivic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
Hanni Cheng, Ya Cong, Weihao Jiang, Shiliang Pu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning with Language-Guided State Abstractions
Andi Peng, Ilia Sucholutsky, Belinda Li, Theodore Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction
Guillaume Bono, Leonid Antsfeld, Assem Sadek, Gianluca Monaci, Christian Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leave-one-out Distinguishability in Machine Learning
Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark Riedl
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lemur: Harmonizing Natural Language and Code for Language Agents
Yiheng Xu, Hongjin SU, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, FAN ZHOU, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lemur: Integrating Large Language Models in Automated Program Verification
Haoze Wu, Clark Barrett, Nina Narodytska
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Less is More: Fewer Interpretable Region via Submodular Subset Selection
Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
(Andrew) Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Inès Hyeonsu Kim, Jaehoon Ko, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Let Models Speak Ciphers: Multiagent Debate through Embeddings
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan Plummer, Zhaoran Wang, Hongxia Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Let's do the time-warp-attend: Learning topological invariants of dynamical systems
Noa Moriel, Matthew Ricci, Mor Nitzan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
Ayesha Vermani, Il Memming Park, Josue Nassar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Heng Dong, Junyu Zhang, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging Optimization for Adaptive Attacks on Image Watermarks
Nils Lukas, Abdelrahman Ahmed, Lucas Fenaux, Florian Kerschbaum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
Antoine Bambade, Fabian Schramm, Adrien Taylor, Justin Carpentier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Ryo Ueda, TADAHIRO TANIGUCHI
Machine Learning
日本大学: 京都大学 / 東京大学
2024 · ICLR
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua Susskind, Etai Littwin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lie Group Decompositions for Equivariant Neural Networks
Mircea Mironenco, Patrick Forré
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lifting Architectural Constraints of Injective Flows
Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Koethe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Light Schrödinger Bridge
Aleksandr Korotin, Nikita Gushchin, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
Huigen Ye, Hua Xu, Hongyan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li, Ronen Basri, Yuval Kluger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Linear Log-Normal Attention with Unbiased Concentration
Yury Nahshan, Joseph Kampeas, Emir Haleva
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Linear attention is (maybe) all you need (to understand Transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Ali Jadbabaie, Suvrit Sra
Machine Learning
日本大学: 関与なし（対象大学）