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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
Divergences between Language Models and Human Brains
Yuchen Zhou, Emmy Liu, Graham Neubig, Michael J. Tarr, Leila Wehbe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners
Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
Jiawei Du, Xin Zhang, Juncheng Hu, Wenxing Huang, Joey Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors
Yazid Janati, Badr Moufad, Alain Durmus, Eric Moulines, Jimmy Olsson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
Eli Sennesh, Hao Wu, Tommaso Salvatori
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Do Finetti: On Causal Effects for Exchangeable Data
Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Zichao Li, Yanshuai Cao, Jackie C.K. Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Do causal predictors generalize better to new domains?
Vivian Y. Nastl, Moritz Hardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
Javier González, Aditya V. Nori
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
Qingsong Zhao, Yi Wang, Jilan Xu, Yinan He, Zifan Song, Limin Wang, Yu Qiao, Cairong Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Jie Hu, Yi-Ting Ma, Do Young Eun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Domain Adaptation for Large-Vocabulary Object Detectors
Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, Kirill Neklyudov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation
Yunlu Chen, Francisco Vicente Carrasco, Christian Häne, Giljoo Nam, Jean-Charles Bazin, Fernando De la Torre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Doubly Mild Generalization for Offline Reinforcement Learning
Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
Zhiqi Li, Yiming Chen, Peidong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli, David Schnurr, Noah Hollmann, Samuel Müller, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
Zhechao Wang, Peirui Cheng, Mingxin Chen, Pengju Tian, Zhirui Wang, Xinming Li, Xue Yang, Xian Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Sunghyeon Woo, Baesung Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Hui Zheng, Hai-Teng Wang, Wei-Bang Jiang, Zhong-Tao Chen, Li He, Pei-Yang Lin, Peng-Hu Wei, Guo-Guang Zhao, Yun-Zhe Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang, Dong-Young Lim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Critic Reinforcement Learning under Partial Observability
Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
Bahri Batuhan Bilecen, Ahmet Berke Gokmen, Aysegul Dundar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Lagrangian Learning for Conic Optimization
Mathieu Tanneau, Pascal Van Hentenryck
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual-Diffusion for Binocular 3D Human Pose Estimation
Xiaoyue Wan, Zhuo Chen, Bingzhi Duan, Xu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual-Personalizing Adapter for Federated Foundation Models
Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
Tian Qiu, Chenchao Gao, Zunlei Feng, Jie Lei, Bingde Hu, Xingen Wang, Yi Gao, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
Yifei Zhang, Huan-ang Gao, Zhou Jiang, Hao Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
Simina Brânzei, MohammadTaghi Hajiaghayi, Reed Phillips, Suho Shin, Kun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic 3D Gaussian Fields for Urban Areas
Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys, Peter Kontschieder
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
Arko Banerjee, Kia Rahmani, Joydeep Biswas, Isil Dillig
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
Vijaya Raghavan T Ramkumar, Elahe Arani, Bahram Zonooz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Rescaling for Training GNNs
Nimrah Mustafa, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
Rui Ai, David Simchi-Levi, Feng Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
Yanping Li, Jingshen Wang, Waverly Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
Christian Schmid, James M. Murray
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Déjà Vu Memorization in Vision–Language Models
Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
E-Motion: Future Motion Simulation via Event Sequence Diffusion
Song Wu, Zhiyu Zhu, Junhui Hou, Guangming Shi, Jinjian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Jiaqing Zhang, Mingxiang Cao, Weiying Xie, Jie Lei, Daixun Li, Wenbo Huang, Yunsong Li, Xue Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Ivan Nasonov, Daniil Orekhov, Vladislav Pekhotin, Ivan Makovetskiy, Mikhail Baklashkin, Vasily Lavrentyev, Akim Tsvigun, Denis Turdakov, Tatiana Shavrina, Andrey Savchenko, Ilya Makarov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
Haoyu Dong, Huiqiao Fu, Wentao Xu, Zhehao Zhou, Chunlin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
Yuezhu Xu, S. Sivaranjani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
Guagnyu Wang, Wenchao Liu, Yuhong He, Cong Xu, Lin Ma, Haifeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection
Sheng Wu, Hang Sheng, Hui Feng, Bo Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EM Distillation for One-step Diffusion Models
Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EMR-Merging: Tuning-Free High-Performance Model Merging
Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing
Qibo Qiu, Shun Zhang, Haiming Gao, Honghui Yang, Haochao Ying, Wenxiao Wang, Xiaofei He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
Jinhee Kim, Taesung Kim, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ESPACE: Dimensionality Reduction of Activations for Model Compression
Charbel Sakr, Brucek Khailany
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
Majdi Hassan, Nikhil Shenoy, Jungyoon Lee, Hannes Stärk, Stephan Thaler, Dominique Beaini
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni, Guofeng Zhang, Guanglin Li, Yijin Li, Xinyang Liu, Zhaoyang Huang, Hujun Bao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
Qinqian Lei, Bo Wang, Robby T. Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Easy Regional Contrastive Learning of Expressive Fashion Representations
Daiqing Qi, Handong Zhao, Sheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
Noah Golowich, Ankur Moitra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Effective Exploration Based on the Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficiency for Free: Ideal Data Are Transportable Representations
Peng Sun, Yi Jiang, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficiency of the First-Price Auction in the Autobidding World
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
Brian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
Wei Dong, Yuan Sun, Yiting Yang, Xing Zhang, Zhijun Lin, Qingsen Yan, Haokui Zhang, Peng Wang, Yang Yang, Hengtao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Adversarial Training in LLMs with Continuous Attacks
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Yihan Wang, Yifan Zhu, Xiao-Shan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Centroid-Linkage Clustering
MohammadHossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N. Gowda, D Ellis Hershkowitz, Rajesh Jayaram, Jakub Łącki
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Combinatorial Optimization via Heat Diffusion
Hengyuan Ma, Wenlian Lu, Jianfeng Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Discrepancy Testing for Learning with Distribution Shift
Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Konstantinos Stavropoulos, Arsen Vasilyan
Machine Learning
日本大学: 関与なし（対象大学）