NeurIPS

2022–2026 LIVE

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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
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
Qijun Luo, Hengxu Yu, Xiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BERTs are Generative In-Context Learners
David Samuel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright, Christian Igel, Raghavendra Selvan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Back to the Continuous Attractor
Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół, Il Memming Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Banded Square Root Matrix Factorization for Differentially Private Model Training
Nikita Kalinin, Christoph Lampert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay Moran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bandits with Abstention under Expert Advice
Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bandits with Preference Feedback: A Stackelberg Game Perspective
Barna Pásztor, Parnian Kassraie, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bandits with Ranking Feedback
Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti, Marcello Restelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Barely Random Algorithms and Collective Metrical Task Systems
Romain Cosson, Laurent Massoulié
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Base of RoPE Bounds Context Length
Mingyu Xu, Xin Men, Bingning Wang, Qingyu Zhang, Hongyu Lin, Yaojie Lu, Xianpei Han, Weipeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Batched Energy-Entropy acquisition for Bayesian Optimization
Felix Teufel, Carsten Stahlhut, Jesper Ferkinghoff-Borg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
Antoine Maillard, Emanuele Troiani, Simon Martin, Lenka Zdeborová, Florent Krzakala
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
Yanfang Ling, Jiyong Li, Lingbo Li, Shangsong Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Online Natural Gradient (BONG)
Matt Jones, Peter Chang, Kevin Murphy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang, Xingchen Wan, Xiaowen Dong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian Strategic Classification
Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stang1, Ali Vakilian, Juba Ziani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
Deep Shankar Pandey, Spandan Pyakurel, Qi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
Zikang Zhou, Haibo Hu, Xinhong Chen, Jianping Wang, Nan Guan, Kui Wu, Yung-Hui Li, Yu-Kai Huang, Chun Jason Xue
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Belief-State Query Policies for User-Aligned POMDPs
Daniel Bramblett, Siddharth Srivastava
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Benign overfitting in leaky ReLU networks with moderate input dimension
Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data
David Holzmüller, Léo Grinsztajn, Ingo Steinwart
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
Tang Li, Mengmeng Ma, Xi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Accuracy: Tracking more like Human via Visual Search
Dailing Zhang, Shiyu Hu, Xiaokun Feng, Xuchen Li, Meiqi Wu, Jing Zhang, Kaiqi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna, Ričards Marcinkevičs, Moritz Vandenhirtz, Julia E. Vogt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
Jiaxu Leng, Zhanjie Wu, Mingpi Tan, Yiran Liu, Ji Gan, Haosheng Chen, Xinbo Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Optimism: Exploration With Partially Observable Rewards
Simone Parisi, Alireza Kazemipour, Michael Bowling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
Zhixiang Shen, Shuo Wang, Zhao Kang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators
Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond Slow Signs in High-fidelity Model Extraction
Hanna Foerster, Robert Mullins, Ilia Shumailov, Jamie Hayes
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond task diversity: provable representation transfer for sequential multitask linear bandits
Thang Duong, Zhi Wang, Chicheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BiDM: Pushing the Limit of Quantization for Diffusion Models
Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Kaiyuan Zhang, Guanhong Tao, Guangyu Shen, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bias Detection via Signaling
Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
Jiewen Yang, Yiqun Lin, Bin Pu, Xiaomeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control
Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Miłoś, Marek Cygan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Binarized Diffusion Model for Image Super-Resolution
Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Binary Search with Distributional Predictions
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Aidin Niaparast, Sergei Vassilvitskii
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, E. Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Biologically Inspired Learning Model for Instructed Vision
Roy Abel, Shimon Ullman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BitDelta: Your Fine-Tune May Only Be Worth One Bit
James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Black-Box Forgetting
Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie
Machine Learning
日本大学: 東京理科大学
2024 · NeurIPS
Blind Image Restoration via Fast Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Block Sparse Bayesian Learning: A Diversified Scheme
Yanhao Zhang, Zhihan Zhu, Yong Xia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Lin Gui, Cristina Gârbacea, Victor Veitch
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosted Conformal Prediction Intervals
Ran Xie, Rina Foygel Barber, Emmanuel J. Candès
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Graph Pooling with Persistent Homology
Chaolong Ying, Xinjian Zhao, Tianshu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing
Yadong Qu, Yuxin Wang, Bangbang Zhou, Zixiao Wang, Hongtao Xie, Yongdong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Text-to-Video Generative Model with MLLMs Feedback
Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Transferability and Discriminability for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Vision-Language Models with Transduction
Maxime Zanella, Benoît Gérin, Ismail Ben Ayed
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension
Zaiquan Yang, Yuhao Liu, Jiaying Lin, Gerhard Hancke, Rynson W.H. Lau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Yujia Zhou, Zheng Liu, Zhicheng Dou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
Di Ming, Peng Ren, Yunlong Wang, Xin Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bootstrapping Top-down Information for Self-modulating Slot Attention
Dongwon Kim, Seoyeon Kim, Suha Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boundary Decomposition for Nadir Objective Vector Estimation
Ruihao Zheng, Zhenkun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Boundary Matters: A Bi-Level Active Finetuning Method
Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
Kedar Karhadkar, Michael Murray, Guido Montúfar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
Zijian Dong, Ruilin Li, Yilei Wu, Thuan Tinh Nguyen, Joanna Su Xian Chong, Fang Ji, Nathanael Ren Jie Tong, Christopher Li Hsian Chen, Juan Helen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
David Mayo, Christopher Wang, Asa Harbin, Abdulrahman Alabdulkareem, Albert Shaw, Boris Katz, Andrei Barbu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
Chende Zheng, Chenhao Lin, Zhengyu Zhao, Hang Wang, Xu Guo, Shuai Liu, Chao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
Mingli Zhu, Siyuan Liang, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Breaking the curse of dimensionality in structured density estimation
Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
Chao Yi, Yu-Hang He, De-Chuan Zhan, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）