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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
Linearity of Relation Decoding in Transformer Language Models
Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts
Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LipSim: A Provably Robust Perceptual Similarity Metric
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
Giung Nam, Byeongho Heo, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Listen, Think, and Understand
Yuan Gong, Hongyin Luo, Alexander Liu, Leonid Karlinsky, James R Glass
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
Xin Liu, Muhammad Khalifa, Lu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Llemma: An Open Language Model for Mathematics
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Qiaochu Jiang, Jia Deng, Stella R Biderman, Sean Welleck
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
Jae-Woo Choi, Youngwoo Yoon, Hyobin Ong, Jaehong Kim, Minsu Jang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Local Composite Saddle Point Optimization
Cedar Site Bai, Brian Bullins
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Local Graph Clustering with Noisy Labels
Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Local Search GFlowNets
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Locality Sensitive Sparse Encoding for Learning World Models Online
Zichen Liu, Chao Du, Wee Sun Lee, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Locality-Aware Graph Rewiring in GNNs
Federico Barbero, Ameya Velingker, Amin Saberi, Michael Bronstein, Francesco Di Giovanni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Localizing and Editing Knowledge In Text-to-Image Generative Models
Samyadeep Basu, Nanxuan Zhao, Vlad Morariu, Soheil Feizi, Varun Manjunatha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Logical Languages Accepted by Transformer Encoders with Hard Attention
Pablo Barcelo, Alexander Kozachinskiy, Anthony W. Lin, Vladimir Podolskii
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Long-tailed Diffusion Models with Oriented Calibration
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert Nowak, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
Yuzhou Gu, Zhao Song, Junze Yin, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MAP IT to Visualize Representations
Robert Jenssen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh Chawla, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Mara Finkelstein, Markus Freitag
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou, Xiangchao Wang, Jie Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao MA, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, zili wang, Yike Guo, Jie Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park, Oleh Rybkin, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang XU, Yu-Hao Huang, Weiqing Liu, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese, Mustapha BOUNOUA, Pietro Michiardi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, jinyue Zhao, Wenrui Li, Yanting Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
Yan Sun, Jicong Fan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
Xiang Fu, Tian Xie, Andrew Rosen, Tommi Jaakkola, Jake Smith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MOFI: Learning Image Representations from Noisy Entity Annotated Images
Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
Ethan Steinberg, Jason Fries, Yizhe Xu, Nigam Shah
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Jihyun Ahn, Hanzi XU, Yu Su, Wenpeng Yin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, Xiao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
chenjie cao, xinlin ren, Yanwei Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MaGIC: Multi-modality Guided Image Completion
Hao Wang, Yongsheng Yu, Tiejian Luo, Heng Fan, Libo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Machine Unlearning for Image-to-Image Generative Models
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing HONG, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Magnushammer: A Transformer-Based Approach to Premise Selection
Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Qiaochu Jiang, Jin Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Making LLaMA SEE and Draw with SEED Tokenizer
Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li, Xintao WANG, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Making Pre-trained Language Models Great on Tabular Prediction
Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Chen, Jimeng Sun, Jian Wu, Jintai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Making RL with Preference-based Feedback Efficient via Randomization
Runzhe Wu, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Manifold Diffusion Fields
Ahmed Elhag, Yuyang Wang, Joshua Susskind, MIGUEL ANGEL BAUTISTA
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Manifold Preserving Guided Diffusion
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, WeiHsiang Liao, Yuki Mitsufuji, Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems
Jacob Prince, Gabriel Fajardo, George Alvarez, Talia Konkle
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mask-Based Modeling for Neural Radiance Fields
Ganlin Yang, Guoqiang Wei, Zhizheng Zhang, Yan Lu, Dong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Masked Audio Generation using a Single Non-Autoregressive Transformer
Alon Ziv, Itai Gat, Gael Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Yossi Adi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Masked Completion via Structured Diffusion with White-Box Transformers
Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Masked Distillation Advances Self-Supervised Transformer Architecture Search
Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Masked Structural Growth for 2x Faster Language Model Pre-training
Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Masks, Signs, And Learning Rate Rewinding
Advait Gadhikar, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Massive Editing for Large Language Models via Meta Learning
Chenmien Tan, Ge Zhang, Jie Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mastering Memory Tasks with World Models
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy, Nithya Kemp, Eliana Cohen, Lu Li, Howie Choset
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Matrix Manifold Neural Networks++
Xuan Son Nguyen, Yang, Aymeric Histace
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Matryoshka Diffusion Models
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua Susskind, Navdeep Jaitly
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, QIANG FU, Xiaojun Chang, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Maximum Entropy Model Correction in Reinforcement Learning
Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mayfly: a Neural Data Structure for Graph Stream Summarization
yuan feng, Yukun Cao, Hairu Wang, Xike Xie, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mean Field Theory in Deep Metric Learning
Takuya Furusawa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Meaning Representations from Trajectories in Autoregressive Models
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Measuring Vision-Language STEM Skills of Neural Models
Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert Dick, Hidenori Tanaka, Tim Rocktaeschel, Edward Grefenstette, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
Brian Zhang, Gabriele Farina, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun MA, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Memorization Capacity of Multi-Head Attention in Transformers
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
Yuxiang (YU-HSIANG) LAI, Yi Zhou, Xinghong Liu, Tao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Memory-Consistent Neural Networks for Imitation Learning
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
Shicheng Liu, Minghui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
Xingyu Liu, Deepak Pathak, DING ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Meta-Learning Priors Using Unrolled Proximal Networks
Yilang Zhang, Georgios B Giannakis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
Machine Learning
日本大学: 関与なし（対象大学）