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
MambaTree: Tree Topology is All You Need in State Space ModelYicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, Ying Shan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose EstimationCédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Many-shot JailbreakingCem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Fracesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan J Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanhan, Karina Nguyen, Tomasz Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger Baker Grosse, David Duvenaud
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Marginal Causal Flows for Validation and InferenceDaniel de Vassimon Manela, Laura Battaglia, Robin J. Evans
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Markov Equivalence and Consistency in Differentiable Structure LearningChang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing FlowsAlberto Cabezas, Louis Sharrock, Christopher Nemeth
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Marrying Causal Representation Learning with Dynamical Systems for ScienceDingling Yao, Caroline Muller, Francesco Locatello
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image SegmentationHaotian Qian, YD Chen, Shengtao Lou, Fahad Shahbaz Khan, Xiaogang Jin, Deng-Ping Fan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MaskLLM: Learnable Semi-Structured Sparsity for Large Language ModelsGongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Masked Hard-Attention Transformers Recognize Exactly the Star-Free LanguagesAndy Yang, David Chiang, Dana Angluin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Masked Pre-training Enables Universal Zero-shot DenoiserXiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MatFormer: Nested Transformer for Elastic InferenceDevvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient DescentYiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral MethodsYihan Zhang, Marco Mondelli
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MatrixNet: Learning over symmetry groups using learned group representationsLucas Laird, Circe Hsu, Asilata Bapat, Robin Walters
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Matryoshka Query Transformer for Large Vision-Language ModelsWenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Maximizing utility in multi-agent environments by anticipating the behavior of other learnersAngelos Assos, Yuval Dagan, Constantinos Daskalakis
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based ModelsSangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing FlowChen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MeLLoC: Lossless Compression with High-order Mechanism LearningXinyue Luo, Jin Cheng, Yu Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MeMo: Meaningful, Modular Controllers via Noise InjectionMegan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian InputZiang Chen, Rong Ge
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel ApproachGuillaume Wang, Alireza Mousavi-Hosseini, Lénaïc Chizat
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact GuidanceKai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Measuring Dejavu Memorization EfficientlyNarine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Measuring Goal-DirectednessMatt MacDermott, James Fox, Francesco Belardinelli, Tom Everitt
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Measuring Mutual Policy Divergence for Multi-Agent Sequential ExplorationHaowen Dou, Lujuan Dang, Zhirong Luan, Badong Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Measuring Per-Unit Interpretability at Scale Without HumansRoland S. Zimmermann, David Klindt, Wieland Brendel
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game ModelsAdam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mechanism design augmented with output adviceGeorge Christodoulou, Alkmini Sgouritsa, Ioannis Vlachos
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised LearningKeying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series ClassificationYihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningShuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan S. Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context LengthXuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MemVLT: Vision-Language Tracking with Adaptive Memory-based PromptsXiaokun Feng, Xuchen Li, Shiyu Hu, Dailing Zhang, Meiqi Wu, Jing Zhang, Xiaotang Chen, Kaiqi Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt CalibrationWenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Membership Inference Attacks against Large Vision-Language ModelsZhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elias Abad Rocamora, Volkan Cevher
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood DiscrepancyShengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Memorize What Matters: Emergent Scene Decomposition from MultitraverseYiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationQianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Memory-Efficient LLM Training with Online Subspace DescentKaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected LayersNing Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMsXin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction ModelMinghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MeshXL: Neural Coordinate Field for Generative 3D Foundation ModelsSijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Zhibin Wang, Jingyi Yu, Gang Yu, Bin Fu, Tao Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR MaterialsYawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous ControlSeongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementZhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-ExplorationYun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Chen-Sheng Gu, Ling Zhen Li, Ray-I Chang, Hung-yi Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot LearningFei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta-Learning Universal Priors Using Non-Injective Change of VariablesYilang Zhang, Alireza Sadeghi, Georgios B. Giannakis
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum ComparatorSiyuan Xu, Minghui Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language ModelsKailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Tianlin Zhang, Sophia Ananiadou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MetaCURL: Non-stationary Concave Utility Reinforcement LearningBianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MetaLA: Unified Optimal Linear Approximation to Softmax Attention MapYuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Ruijie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-LearningBin-Bin Gao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingAniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy Lillicrap, Danilo Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision ModelsByung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Metric Flow Matching for Smooth Interpolations on the Data ManifoldKacper Kapuśniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Metric Space Magnitude for Evaluating the Diversity of Latent RepresentationsKatharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Metric Transforms and Low Rank Representations of Kernels for Fast AttentionTimothy Chu, Josh Alman, Gary Miller, Shyam Narayanan, Mark Sellke, Zhao Song
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time AdaptationYizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MiSO: Optimizing brain stimulation to create neural population activity statesYuki Minai, Joana Soldado-Magraner, Matthew A. Smith, Byron M. Yu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable ConvergenceIonut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, Dan Alistarh
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Microstructures and Accuracy of Graph Recall by Large Language ModelsYanbang Wang, Hejie Cui, Jon Kleinberg
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutesZhenhui Ye, Tianyun Zhong, Yi Ren, Ziyue Jiang, Jiawei Huang, Rongjie Huang, Jinglin liu, Jinzheng He, Chen Zhang, Zehan Wang, Xize Chen, Xiang Yin, Zhou Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent GamesThe Viet Bui, Tien Mai, Thanh Hong Nguyen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mind the Gap Between Prototypes and Images in Cross-domain FinetuningHongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-MakingDrago Plecko, Elias Bareinboim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mind the Graph When Balancing Data for Fairness or RobustnessJessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language ModelsWenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MindMerger: Efficiently Boosting LLM Reasoning in non-English LanguagesZixian Huang, Wenhao Zhu, Gong Cheng, Lei Li, Fei Yuan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences TrainingCheng Luo, Jiawei Zhao, Zhuoming Chen, Beidi Chen, Anima Anandkumar
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MiniCache: KV Cache Compression in Depth Dimension for Large Language ModelsAkide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement LearningZhishuai Liu, Pan Xu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Minimizing UCB: a Better Local Search Strategy in Local Bayesian OptimizationZheyi Fan, Wenyu Wang, Szu Hui Ng, Qingpei Hu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Minimum Entropy Coupling with BottleneckM.Reza Ebrahimi, Jun Chen, Ashish Khisti
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud RegistrationKezheng Xiong, Haoen Xiang, Qingshan Xu, Chenglu Wen, Siqi Shen, Jonathan Li, Cheng Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mirror and Preconditioned Gradient Descent in Wasserstein SpaceClément Bonet, Théo Uscidda, Adam David, Pierre-Cyril Aubin-Frankowski, Anna Korba
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mission Impossible: A Statistical Perspective on Jailbreaking LLMsJingtong Su, Julia Kempe, Karen Ullrich
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Backdoor Attack by Injecting Proactive Defensive BackdoorShaokui Wei, Hongyuan Zha, Baoyuan Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Biases in Blackbox Feature Extractors for Image Classification TasksAbhipsa Basu, Saswat Subhajyoti Mallick, R. Venkatesh Babu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution CorrectionSeokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Object Hallucination via Concentric Causal AttentionYun Xing, Yiheng Li, Ivan Laptev, Shijian Lu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Partial Observability in Sequential Decision Processes via the Lambda DiscrepancyCameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Reward Overoptimization via Lightweight Uncertainty EstimationXiaoying Zhang, Jean-François Ton, Wei Shen, Hongning Wang, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mitigating Spurious Correlations via Disagreement ProbabilityHyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark MixturesJinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active RegimesZhenfeng Tu, Santiago Aranguri, Arthur Jacot
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-TuningXu Yang, Chen Liu, Ying Wei
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Demonstrations for In-Context LearningSong Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Experts Meets Prompt-Based Continual LearningMinh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of In-Context Experts Enhance LLMs' Long Context AwarenessHongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Link Predictors on GraphsLi Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Nested Experts: Adaptive Processing of Visual TokensGagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language ModelsDongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of Tokens: Continuous MoE through Cross-Example AggregationSzymon Antoniak, Michał Krutul, Maciej Pióro, Jakub Krajewski, Jan Ludziejewski, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Marek Cygan, Sebastian Jaszczur
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixture of neural fields for heterogeneous reconstruction in cryo-EMAxel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mixtures of Experts for Audio-Visual LearningYing Cheng, Yang Li, Junjie He, Rui Feng
Machine Learning
日本大学: 関与なし(対象大学)