NeurIPS

2022–2026 LIVE

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
DINTR: Tracking via Diffusion-based Interpolation
Pha Nguyen, Ngan Le, Jackson Cothren, Alper Yilmaz, Khoa Luu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DMesh: A Differentiable Mesh Representation
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Tianzhu Zhang, Xu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DOFEN: Deep Oblivious Forest ENsemble
Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Chih-Sheng Chen, Darby Tien-Hao Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
Yu Chen, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Xiuwei Shang, Weiming Zhang, Nenghai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
Yingjun Shen, Haizhao Dai, Qihe Chen, Yan Zeng, Jiakai Zhang, Yuan Pei, Jingyi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting
Xiaodi Li, Zongxin Yang, Ruijie Quan, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono, Patrick Loiseau, Vianney Perchet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DarkSAM: Fooling Segment Anything Model to Segment Nothing
Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data Acquisition via Experimental Design for Data Markets
Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
Seonghyun Ban, Heesan Kong, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data Distribution Valuation
Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low, Giulia Fanti
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data Free Backdoor Attacks
Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions
Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data subsampling for Poisson regression with pth-root-link
Han Cheng Lie, Alexander Munteanu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models
Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data-Efficient Learning with Neural Programs
Alaia Solko-Breslin, Seewon Choi, Ziyang Li, Neelay Velingker, Rajeev Alur, Mayur Naik, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
Qiheng Sun, Haocheng Xia, Jinfei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans
Yuan Gan, Jiaxu Miao, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeBaRA: Denoising-Based 3D Room Arrangement Generation
Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Bozhou Zhang, Nan Song, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeNetDM: Debiasing by Network Depth Modulation
Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Abhra Chaudhuri, Anjan Dutta
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DePLM: Denoising Protein Language Models for Property Optimization
Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
Oryan Yehezkel, Alon Zolfi, Amit Baras, Yuval Elovici, Asaf Shabtai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
Xun Guo, Shan Zhang, Yongxin He, Ting Zhang, Wanquan Feng, Haibin Huang, Chongyang Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
Xinyu Zhou, Jinglun Li, Lingyi Hong, Kaixun Jiang, Pinxue Guo, Weifeng Ge, Wenqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dealing with Synthetic Data Contamination in Online Continual Learning
Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Debiasing Synthetic Data Generated by Deep Generative Models
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Thomas Demeester, Stijn Vansteelandt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
Wenjing Yan, Xuanyu Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decision-Focused Learning with Directional Gradients
Vishal Gupta, Michael Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
Jingru Jia, Zehua Yuan, Junhao Pan, Paul E. McNamara, Deming Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decoding-Time Language Model Alignment with Multiple Objectives
Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decomposable Transformer Point Processes
Aristeidis Panos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin lin, Yuting Ning, Binbin Jin, Xin Li, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decoupled Kullback-Leibler Divergence Loss
Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
Tassilo Wald, Constantin Ulrich, Gregor Köhler, David Zimmerer, Stefan Denner, Michael Baumgartner, Fabian Isensee, Priyank Jain, Klaus H. Maier-Hein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano C. Melo, Panagiotis Tigas, Alessandro Abate, Yarin Gal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Correlated Prompting for Visual Recognition with Missing Modalities
Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Equilibrium Algorithmic Reasoning
Dobrik Georgiev, JJ Wilson, Davide Buffelli, Pietro Liò
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Graph Mating
Yongcheng Jing, Seok-Hee Hong, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Homomorphism Networks
Takanori Maehara, Hoang NT
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
Alan Jeffares, Alicia Curth, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu, Jose Blanchet, Peter Glynn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Learning in Medical Image Registration: Magic or Mirage?
Rohit Jena, Deeksha Sethi, Pratik Chaudhari, James C. Gee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shariar, Colin Bellinger, Martha White, A. Rupam Mahmood
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Submodular Peripteral Networks
Gantavya Bhatt, Arnav M. Das, Jeffrey A. Bilmes
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep Support Vectors
Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deep linear networks for regression are implicitly regularized towards flat minima
Pierre Marion, Lénaïc Chizat
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
Hongyu Shen, Yici Yan, Zhizhen Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
Hongyuan Tao, Hang Yu, Jianguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
Qilong Ma, Haixu Wu, Lanxiang Xing, Shangchen Miao, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
Donghao Luo, Xue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeiSAM: Segment Anything with Deictic Prompting
Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
Zuowen Wang, Longbiao Cheng, Pehuen Moure, Niklas Hahn, Shih-Chii Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Kai Zhang, Jianfeng Pei, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Demystify Mamba in Vision: A Linear Attention Perspective
Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
Chongming Liu, Jingyang Ma, Songting Li, Douglas Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DenoiseRep: Denoising Model for Representation Learning
Zhengrui Xu, Guan'an Wang, Xiaowen Huang, Jitao Sang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
Yiming Lei, Zilong Li, Junping Zhang, Hongming Shan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dense Associative Memory Through the Lens of Random Features
Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dense Connector for MLLMs
Huanjin Yao, Wenhao Wu, Taojiannan Yang, Yuxin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
Ning-Hsu Wang, Yu-Lun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Derandomizing Multi-Distribution Learning
Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Derivative-enhanced Deep Operator Network
Yuan Qiu, Nolan Bridges, Peng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Derivatives of Stochastic Gradient Descent in parametric optimization
Franck Iutzeler, Edouard Pauwels, Samuel Vaiter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
Aniketh Janardhan Reddy, Xinyang Geng, Michael H. Herschl, Sathvik Kolli, Aviral Kumar, Patrick D. Hsu, Sergey Levine, Nilah M. Ioannidis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan Paleja, Michael Munje, Kimberlee Chestnut Chang, Reed Jensen, Mathew Gombolay
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
Brian Zhang, Zhuo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Detecting and Measuring Confounding Using Causal Mechanism Shifts
Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
Jeremy McMahan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgül, Manuel Haußmann, Melih Kandemir
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Krishna Sri Ipsit Mantri, Xinzhi (Aurora) Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
Hao Phung, Quan Dao, Trung Dao, Hoang Phan, Dimitris N. Metaxas, Anh Tran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Junhai Yong, Bin Wang, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DiTFastAttn: Attention Compression for Diffusion Transformer Models
Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）