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2022–2026 LIVE

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Machine Learning

2023 · 3,218 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。

2023 · NeurIPS
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
Yuhang Zhang, Yaqi Li, lixiong Qin, Xuannan Liu, Weihong Deng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lending Interaction Wings to Recommender Systems with Conversational Agents
Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
Dinghuai Zhang, Hanjun Dai, Esmeralda S. Whitammer, Aaron C. Courville, Yoshua Bengio, Ling Pan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, jae-joon kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
Robert Allison, Anthony Stephenson, Samuel F, Edward O Pyzer-Knapp
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leveraging sparse and shared feature activations for disentangled representation learning
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Leveraging the two-timescale regime to demonstrate convergence of neural networks
Pierre Marion, Raphaël Berthier
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lexinvariant Language Models
Qian Huang, Eric Zelikman, Sarah Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
Aarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, László Jeni
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lightweight Vision Transformer with Bidirectional Interaction
Qihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Likelihood Ratio Confidence Sets for Sequential Decision Making
Nicolas Emmenegger, Mojmir Mutny, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani, Tatsunori B Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
Thien Le, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Linear Time Algorithms for k-means with Multi-Swap Local Search
Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
Jiaqi Guan, Xingang Peng, PeiQi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
List and Certificate Complexities in Replicable Learning
Peter Dixon, A. Pavan, Jason Vander Woude, N. V. Vinodchandran
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
Machine Learning
日本大学: 東京理科大学 / 東京大学
2023 · NeurIPS
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
Guillaume Wang, Lénaïc Chizat
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee, Chiheon Kim, Minsu Cho, WOOK SHIN HAN
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Fatih Ilhan, Selim Tekin, Ling Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
Shangyuan LIU, Linglingzhi Zhu, Anthony Man-Cho So
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
Minbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang
Machine Learning
日本大学: 名古屋大学
2023 · NeurIPS
Long Sequence Hopfield Memory
Hamza Chaudhry, Jacob Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Long-Term Fairness with Unknown Dynamics
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng, Xianyuan Zhan, zhihao wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang, Li Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Matthew Chang, Aditya Prakash, Saurabh Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lookaround Optimizer: $k$ steps around, 1 step average
Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
Feng Zhang, Ming Tian, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao, Nong Sang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Loss Decoupling for Task-Agnostic Continual Learning
Yan-Shuo Liang, Wu-Jun Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Loss Dynamics of Temporal Difference Reinforcement Learning
Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lovász Principle for Unsupervised Graph Representation Learning
Ziheng Sun, Chris Ding, Jicong Fan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Low Tensor Rank Learning of Neural Dynamics
Arthur Pellegrino, N Alex Cayco Gajic, Angus Chadwick
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Lower Bounds on Adaptive Sensing for Matrix Recovery
Praneeth Kacham, David Woodruff
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation
Jiajun Tang, Haofeng Zhong, Shuchen Weng, Boxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MADG: Margin-based Adversarial Learning for Domain Generalization
Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Mohan, Abhinav Kumar, Vineeth N Balasubramanian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MAViL: Masked Audio-Video Learners
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, haoqi fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory
Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
LILI YU, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MGDD: A Meta Generator for Fast Dataset Distillation
Songhua Liu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MIM4DD: Mutual Information Maximization for Dataset Distillation
Yuzhang Shang, Zhihang Yuan, Yan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MIMEx: Intrinsic Rewards from Masked Input Modeling
Toru Lin, Allan Jabri
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs, Antonin Schrab, Arthur Gretton
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
Fabien Casenave, Brian Staber, Xavier Roynard
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Machine learning detects terminal singularities
Tom Coates, Alexander Kasprzyk, Sara Veneziale
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Macro Placement by Wire-Mask-Guided Black-Box Optimization
Yunqi Shi, Ke Xue, Song Lei, Chao Qian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Baohao Liao, Shaomu Tan, Christof Monz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
Zhongqi Yue, QIANRU SUN, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Making Scalable Meta Learning Practical
Sang Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Zichen (Vincent) Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Many-body Approximation for Non-negative Tensors
KAZU GHALAMKARI, Mahito Sugiyama, Yoshinobu Kawahara
Machine Learning
日本大学: 大阪大学
2023 · NeurIPS
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
Pratik Karmakar, Debabrota Basu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
Shyam Sudhakaran, Miguel González-Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, Sebastian Risi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Khai Nguyen, Tongzheng Ren, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mask Propagation for Efficient Video Semantic Segmentation
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Guoxi Huang, Hongtao Fu, Adrian G. Bors
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
Feng Wang, Zilong Chen, Guokang Wang, Yafei Song, Huaping Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mass-Producing Failures of Multimodal Systems with Language Models
Shengbang Tong, Erik Jones, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MathNAS: If Blocks Have a Role in Mathematical Architecture Design
Qinsi Wang, Jinghan Ke, Zhi Liang, Sihai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Matrix Compression via Randomized Low Rank and Low Precision Factorization
Rajarshi Saha, Varun Srivastava, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Max-Margin Token Selection in Attention Mechanism
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Max-Sliced Mutual Information
Dor Tsur, Ziv Goldfeld, Kristjan Greenewald
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
Gang Li, Wei Tong, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration
Zhihan Liu, Miao Lu, WEI XIONG, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits
Masoud Moravej Khorasani, Erik Weyer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Maximum Independent Set: Self-Training through Dynamic Programming
Lorenzo Brusca, Lars C.P.M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Maximum State Entropy Exploration using Predecessor and Successor Representations
Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation
Tangyu Jiang, Haodi Wang, Rongfang Bie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J Maddison, Lei Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mechanic: A Learning Rate Tuner
Ashok Cutkosky, Aaron Defazio, Harsh Mehta
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Mechanism Design for Collaborative Normal Mean Estimation
Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, Rossella Arcucci
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meek Separators and Their Applications in Targeted Causal Discovery
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meet in the Middle: A New Pre-training Paradigm
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Memory Efficient Optimizers with 4-bit States
Bingrui Li, Jianfei Chen, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Memory-Constrained Algorithms for Convex Optimization
Moise Blanchard, Junhui Zhang, Patrick Jaillet
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
Siyuan Sun, Hongyang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
cheng cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meta-Learning Adversarial Bandit Algorithms
Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina F Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Meta-Learning with Neural Bandit Scheduler
Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）