NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

NeurIPS 公式サイト ↗

Machine Learning

2024 · 4,034 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 · NeurIPS
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
Chu Zhou, Yixing Liu, Chao Xu, Boxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljačić
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
Letian Peng, Jingbo Shang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantitative Convergences of Lie Group Momentum Optimizers
Lingkai Kong, Molei Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantum Algorithms for Non-smooth Non-convex Optimization
Chengchang Liu, Chaowen Guan, Jianhao He, John C.S. Lui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantum Deep Equilibrium Models
Philipp Schleich, Marta Skreta, Lasse B. Kristensen, Rodrigo A. Vargas-Hernández, Alán Aspuru-Guzik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quantum algorithm for large-scale market equilibrium computation
Po-Wei Huang, Patrick Rebentrost
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Quasi-Bayes meets Vines
David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Query-Based Adversarial Prompt Generation
Jonathan Hayase, Ema Borevkovic, Nicholas Carlini, Florian Tramèr, Milad Nasr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Questioning the Survey Responses of Large Language Models
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Queueing Matching Bandits with Preference Feedback
Jung-hun Kim, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
Ruyi Zha, Tao Jun Lin, Yuanhao Cai, Jiwen Cao, Yanhao Zhang, Hongdong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu, Huazheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RAGraph: A General Retrieval-Augmented Graph Learning Framework
Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
Enyi Jiang, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
Tianhang Wang, Fan Lu, Zehan Zheng, Guang Chen, Changjun Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
REBEL: Reinforcement Learning via Regressing Relative Rewards
Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
Liang-Hsuan Tseng, En-Pei Hu, Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-shan Lee, Shao-Hua Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
REDUCR: Robust Data Downsampling using Class Priority Reweighting
William Bankes, George Hughes, Ilija Bogunovic, Zi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RETR: Multi-View Radar Detection Transformer for Indoor Perception
Ryoma Yataka, Adriano Cardace, Pu (Perry) Wang, Petros Boufounos, Ryuhei Takahashi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
Peihua Mai, Ran Yan, Yan Pang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation
Changli Wu, Qi Chen, Jiayi Ji, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RGFN: Synthesizable Molecular Generation Using GFlowNets
Michał Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gaiński, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina Adam, Nathaniel D. Bastian, Tian Lan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Setlur, Saurabh Garg, Xinyang (Young) Geng, Naman Garg, Virginia Smith, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
Lei, Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RMLR: Extending Multinomial Logistic Regression into General Geometries
Ziheng Chen, Yue Song, Rui Wang, Xiao-Jun Wu, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
Huayang Huang, Yu Wu, Qian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
Woosung Kim, Hayeong Lee, Jongmin Lee, Byung-Jun Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
Yu-Ang Cheng, Ivan Felipe Rodriguez, Sixuan Chen, Kohitij Kar, Takeo Watanabe, Thomas Serre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
Maya Varma, Jean-Benoit Delbrouck, Zhihong Chen, Akshay Chaudhari, Curtis Langlotz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Foerster, Tim Rocktäschel, Roberta Raileanu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RanDumb: Random Representations Outperform Online Continually Learned Representations
Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S. Torr, Ozan Sener, Puneet K. Dokania
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
Daniel Severo, Ashish Khisti, Alireza Makhzani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Random Function Descent
Felix Benning, Leif Döring
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
Shima Adeli, Mojtaba Tefagh, Gourav Jhanwar, Masoud Zarepisheh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Randomized Strategic Facility Location with Predictions
Eric Balkanski, Vasilis Gkatzelis, Golnoosh Shahkarami
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Randomized Truthful Auctions with Learning Agents
Gagan Aggarwal, Anupam Gupta, Andres Perlroth, Grigoris Velegkas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang, Szu-Wei Fu, Yu Tsao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rapid Plug-in Defenders
Kai Wu, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lecue, Chun-Fu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
Chi-Wei Hsiao, Yu-Lun Liu, Cheng-Kun Yang, Sheng-Po Kuo, Yucheun Kevin Jou, Chia-Ping Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting
Yiqun Mei, Jiacong Xu, Vishal M. Patel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
Sharmita Dey, Sarath Ravindran Nair
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReVideo: Remake a Video with Motion and Content Control
Chong Mou, Mingdeng Cao, Xintao Wang, Zhaoyang Zhang, Ying Shan, Jian Zhang
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Esraa Elelimy, Adam White, Michael Bowling, Martha White
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Real-Time Selection Under General Constraints via Predictive Inference
Yuyang Huo, Lin Lu, Haojie Ren, Changliang Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Real-time Stereo-based 3D Object Detection for Streaming Perception
Changcai Li, Zonghua Gu, Gang Chen, Libo Huang, Wei Zhang, Huihui Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
Chengyu Fang, Chunming He, Fengyang Xiao, Yulun Zhang, Longxiang Tang, Yuelin Zhang, Kai Li, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Haochen Liu, Li Chen, Yu Qiao, Chen Lv, Hongyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reasons and Solutions for the Decline in Model Performance after Editing
Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Kang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reciprocal Learning
Julian Rodemann, Christoph Jansen, Georg Schollmeyer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
John L. Zhou, Weizhe Hong, Jonathan C. Kao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recognize Any Regions
Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity
Chaoqi Chen, Luyao Tang, Hui Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
Ziqi Xie, Weidong Zhao, Xianhui Liu, Jian Zhao, Ning Jia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
Martin Bertran, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reconstruction of Manipulated Garment with Guided Deformation Prior
Ren Li, Corentin Dumery, Zhantao Deng, Pascal Fua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
Hanchao Liu, Yujiang Li, Tai-Jiang Mu, Shi-Min Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
Anand Gopalakrishnan, Aleksandar Stanić, Jürgen Schmidhuber, Michael Curtis Mozer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recurrent Reinforcement Learning with Memoroids
Steven Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob Foerster, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recurrent neural network dynamical systems for biological vision
Wayne W.M. Soo, Aldo Battista, Puria Radmard, Xiao-Jing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recurrent neural networks: vanishing and exploding gradients are not the end of the story
Nicolas Zucchet, Antonio Orvieto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
Luohe Shi, Yao Yao, Zuchao Li, Lefei Zhang, Hai Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Referencing Where to Focus: Improving Visual Grounding with Referential Query
Yabing Wang, Zhuotao Tian, Qingpei Guo, Zheng Qin, Sanping Zhou, Ming Yang, Le Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Referring Human Pose and Mask Estimation In the Wild
Bo Miao, Mingtao Feng, Zijie Wu, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reflective Multi-Agent Collaboration based on Large Language Models
Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Refusal in Language Models Is Mediated by a Single Direction
Andy Arditi, Oscar Obeso, Aaquib Syed, Daniel Paleka, Nina Panickssery, Wes Gurnee, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei
Machine Learning
日本大学: 関与なし（対象大学）