NeurIPS

2022–2026 LIVE

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Machine Learning

2023 · 3,218 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。

2023 · NeurIPS
Unsupervised Anomaly Detection with Rejection
Lorenzo Perini, Jesse Davis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Behavior Extraction via Random Intent Priors
Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Image Denoising with Score Function
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Learning for Solving the Travelling Salesman Problem
Yimeng Min, Yiwei Bai, Carla P. Gomes
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Wengong Jin, Siranush Sarkizova, Xun Chen, Nir HaCohen, Caroline Uhler
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Semantic Correspondence Using Stable Diffusion
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Use perturbations when learning from explanations
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
User-Level Differential Privacy With Few Examples Per User
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Naoki Egami, Musashi Hinck, Brandon Stewart, Hanying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Utilitarian Algorithm Configuration
Devon Graham, Kevin Leyton-Brown, Tim Roughgarden
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Sihan Chen, Handong Li, Qunbo Wang, Zijia Zhao, Mingzhen Sun, Xinxin Zhu, Jing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, ao zhou, Zhijun Li, changjun jiang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VPGTrans: Transfer Visual Prompt Generator across LLMs
Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VRA: Variational Rectified Activation for Out-of-distribution Detection
Mingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VaRT: Variational Regression Trees
Sebastian Salazar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Annealing on Graphs for Combinatorial Optimization
Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Gaussian Processes with Decoupled Conditionals
Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Gaussian processes for linear inverse problems
Thibault RANDRIANARISOA, Botond Szabo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Ziyan Wang, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Inference with Gaussian Score Matching
Chirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
Michael Scherbela, Leon Gerard, Philipp Grohs
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Variational Weighting for Kernel Density Ratios
Sangwoong Yoon, Frank Park, Gunsu YUN, Iljung Kim, Yung-Kyun Noh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VeriX: Towards Verified Explainability of Deep Neural Networks
Min Wu, Haoze Wu, Clark Barrett
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Versatile Energy-Based Probabilistic Models for High Energy Physics
Taoli Cheng, Aaron C. Courville
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
Jiahua Dong, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ViSt3D: Video Stylization with 3D CNN
Ayush Pande, Gaurav Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Video Prediction Models as Rewards for Reinforcement Learning
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay N. Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VideoComposer: Compositional Video Synthesis with Motion Controllability
Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
Ying Wang, Tim G. J. Rudner, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Visual Instruction Inversion: Image Editing via Image Prompting
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation
Jaemin Cho, Abhay Zala, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Vocabulary-free Image Classification
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
Kang Han, Wei Xiang, Lu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
VoxDet: Voxel Learning for Novel Instance Detection
Bowen Li, Jiashun Wang, Yaoyu Hu, Chen Wang, Sebastian Scherer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
Aoxiang Zhang, Yu Ran, Weixuan Tang, Yuan-Gen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding
Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Hanna Ziesche, Leonel Rozo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Wasserstein distributional robustness of neural networks
Xingjian Bai, Guangyi He, Yifan Jiang, Jan Obloj
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Weakly Coupled Deep Q-Networks
Ibrahim El Shar, Daniel Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Weakly Supervised 3D Open-vocabulary Segmentation
Kunhao Liu, Fangneng Zhan, Jiahui Zhang, MUYU XU, Yingchen Yu, Abdulmotaleb El Saddik, Christian Theobalt, Eric P. Xing, Shijian Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Weakly-Supervised Audio-Visual Segmentation
Shentong Mo, Bhiksha Raj
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
HuiYang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Weitzman's Rule for Pandora's Box with Correlations
Evangelia Gergatsouli, Christos Tzamos
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Can We Learn from Unlearnable Datasets?
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Do Deep Saliency Models Learn about Visual Attention?
Shi Chen, Ming Jiang, Qi Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Knowledge Gets Distilled in Knowledge Distillation?
Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
‪Yotam Alexander‬‏, Nimrod De La Vega, Noam Razin, Nadav Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Makes Good Examples for Visual In-Context Learning?
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Planning Problems Can A Relational Neural Network Solve?
Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What Truly Matters in Trajectory Prediction for Autonomous Driving?
Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What You See is What You Read? Improving Text-Image Alignment Evaluation
Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What can a Single Attention Layer Learn? A Study Through the Random Features Lens
Hengyu Fu, Tianyu Guo, Yu Bai, Song Mei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven, Samuel Vaiter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma, Sashank Reddi, Stefanie Jegelka, Ching-Yao Chuang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
What’s Left? Concept Grounding with Logic-Enhanced Foundation Models
Joy Hsu, Jiayuan Mao, Josh Tenenbaum, Jiajun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Can We Track Significant Preference Shifts in Dueling Bandits?
Joe Suk, Arpit Agarwal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Does Confidence-Based Cascade Deferral Suffice?
Wittawat Jitkrittum, Neha Gupta, Aditya K Menon, Harikrishna Narasimhan, Ankit Rawat, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Does Optimizing a Proper Loss Yield Calibration?
Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation
Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When are ensembles really effective?
Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
Jose Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
When is Agnostic Reinforcement Learning Statistically Tractable?
Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Where Did I Come From? Origin Attribution of AI-Generated Images
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
White-Box Transformers via Sparse Rate Reduction
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin Haeffele, Yi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models
Chirag Raman, Alec Nonnemaker, Amelia Villegas-Morcillo, Hayley Hung, Marco Loog
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Why think step by step? Reasoning emerges from the locality of experience
Ben Prystawski, Michael Li, Noah Goodman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Window-Based Distribution Shift Detection for Deep Neural Networks
Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng (Stephen) Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations
Piotr Indyk, Haike Xu
Machine Learning
日本大学: 関与なし（対象大学）