ICLR

2022–2026 LIVE

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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
Orbit-Equivariant Graph Neural Networks
Matthew Morris, Bernardo Grau, Ian Horrocks
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Order-Preserving GFlowNets
Yihang Chen, Lukas Mauch
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Out-Of-Domain Unlabeled Data Improves Generalization
seyed amir hossein saberi, Amir Najafi, Alireza Heidari, Mohammad Hosein Movasaghinia, Abolfazl Motahari, Babak HosseinKhalaj
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Fran Jelenić, Josip Jukić, Martin Tutek, Mate Puljiz, Jan Snajder
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Out-of-Distribution Detection with Negative Prompts
Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Out-of-Variable Generalisation for Discriminative Models
Siyuan Guo, Jonas Wildberger, David Ha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
Elan Rosenfeld, Andrej Risteski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang, Hanlin Goh, Joshua Susskind, Chen Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Overthinking the Truth: Understanding how Language Models Process False Demonstrations
Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Chuyu Zhang, Hui Ren, Xuming He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
P2Seg: Pointly-supervised Segmentation via Mutual Distillation
Zipeng Wang, Xuehui Yu, Xumeng Han, Wenwen Yu, Zhixun Huang, Jianbin Jiao, Zhenjun Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PAC Prediction Sets Under Label Shift
Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
Zhe Wu, Haofei Lu, Junliang Xing, You Wu, Renye Yan, Yaozhong Gan, Yuanchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
Souradip Chakraborty, Amrit Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PB-LLM: Partially Binarized Large Language Models
Zhihang Yuan, Yuzhang Shang, Zhen Dong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
Zhongpai Gao, Huayi Zhou, Abhishek Sharma, Meng Zheng, Benjamin Planche, Terrence Chen, Ziyan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
Zhuqing Liu, Xin Zhang, Jia (Kevin) Liu, Zhengyuan Zhu, Songtao Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PINNACLE: PINN Adaptive ColLocation and Experimental points selection
Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION
Jia-Wang Bian, Wenjing Bian, Victor Prisacariu, Philip Torr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
Junwei Su, Difan Zou, Chuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PRIME: Prioritizing Interpretability in Failure Mode Extraction
Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
Haopeng Sun, Lumin Xu, Sheng Jin, Ping Luo, Chen Qian, Wentao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Parallelizing non-linear sequential models over the sequence length
Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J Black, Adrian Weller, David Ha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Parsing neural dynamics with infinite recurrent switching linear dynamical systems
Victor Geadah, International Brain Laboratory, Jonathan Pillow
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Partitioning Message Passing for Graph Fraud Detection
Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Path Choice Matters for Clear Attributions in Path Methods
Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
Peng Chen, Yingying ZHANG, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott, Hossein Zakerinia, Christoph Lampert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Hritik Bansal, John Dang, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
Zhiwei Deng, Ting Chen, Yang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Perceptual Scales Predicted by Fisher Information Metrics
Jonathan Vacher, Pascal Mamassian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
Hugo Lebeau, Mohamed El Amine Seddik, José Henrique Goulart
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Periodicity Decoupling Framework for Long-term Series Forecasting
Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Personalize Segment Anything Model with One Shot
Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Yu Qiao, Gao Peng, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PhyloGFN: Phylogenetic inference with generative flow networks
MING YANG ZHOU, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Maxime Wabartha, Joelle Pineau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Junsong Chen, Jincheng YU, Chongjian GE, Lewei Yao, Enze Xie, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena Hwang, Xiang Lorraine Li, Hirona Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
Machine Learning
日本大学: 東北大学
2024 · ICLR
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Murtaza Dalal, Tarun Chiruvolu, Devendra Chaplot, Ruslan Salakhutdinov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andres Almansa, Ulugbek Kamilov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, LU HOU, Carlo Vittorio Cannistraci
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Plugin estimators for selective classification with out-of-distribution detection
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
Jadie Adams, Shireen Elhabian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
Chengxing Jia, Chen-Xiao Gao, Hao Yin, Fuxiang Zhang, XiongHui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Poly-View Contrastive Learning
Amitis Shidani, R Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Jingyu Chen, Runlin Lei, Zhewei Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
PolyVoice: Language Models for Speech to Speech Translation
Qianqian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, yunlong zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun MA, Yuping Wang, Mingxuan Wang, Yuxuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng, Zichao Yue, Zhiru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pooling Image Datasets with Multiple Covariate Shift and Imbalance
Sotirios Panagiotis Chytas, Vishnu Lokhande, Vikas Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pose Modulated Avatars from Video
Chunjin Song, Bastian Wandt, Helge Rhodin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Post-hoc bias scoring is optimal for fair classification
Wenlong Chen, Yegor Klochkov, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pre-Training and Fine-Tuning Generative Flow Networks
Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pre-training LiDAR-based 3D Object Detectors through Colorization
Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Luo, Yurong You, Mark Campbell, Kilian Weinberger, Bharath Hariharan, Wei-Lun Chao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
Youhan Lee, Hasun Yu, Jaemyung Lee, Jaehoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pre-training with Random Orthogonal Projection Image Modeling
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Zecheng Wang, Che Wang, Zixuan Dong, Keith Ross
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Predicting Emergent Abilities with Infinite Resolution Evaluation
Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prediction Error-based Classification for Class-Incremental Learning
Michał Zając, Tinne Tuytelaars, Gido van de Ven
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prediction without Preclusion: Recourse Verification with Reachable Sets
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Predictive auxiliary objectives in deep RL mimic learning in the brain
Ching Fang, Kimberly Stachenfeld
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou, Robert Bamler, Charley Wu, Álvaro Tejero-Cantero
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Principled Architecture-aware Scaling of Hyperparameters
Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Privacy Amplification for Matrix Mechanisms
Christopher Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Privacy-Preserving In-Context Learning for Large Language Models
Tong Wu, Ashwinee Panda, Jiachen (Tianhao) Wang, Prateek Mittal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Niloofar Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang, Hoang Tran, Ashok Cutkosky
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Privileged Sensing Scaffolds Reinforcement Learning
Edward Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Probabilistic Adaptation of Black-Box Text-to-Video Models
Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B Tenenbaum, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
Amirhossein Vahidi, Simon Schosser, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Progressive Fourier Neural Representation for Sequential Video Compilation
Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, Yuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
Annie Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）