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
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging Geometric States via Geometric Diffusion Bridge
Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gokcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang, Yixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Shen Yuan, Haotian Liu, Hongteng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging semantics and pragmatics in information-theoretic emergent communication
Eleonora Gualdoni, Mycal Tucker, Roger P. Levy, Noga Zaslavsky
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Bridging the Divide: Reconsidering Softmax and Linear Attention
Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Building a stable classifier with the inflated argmax
Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
Grigory Malinovsky, Peter Richtárik, Samuel Horváth, Eduard Gorbunov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
Yen-Ju Lu, Jing Liu, Thomas Thebaud, Laureano Moro-Velazquez, Ariya Rastrow, Najim Dehak, Jesus Villalba
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition
Jaegyun Park, Dae-Won Kim, Jaesung Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CALVIN: Improved Contextual Video Captioning via Instruction Tuning
Gowthami Somepalli, Arkabandhu Chowdhury, Ronen Basri, Jonas Geiping, Tom Goldstein, David Jacobs
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
Ruiqi Gao, Aleksander Hołyński, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron, Ben Poole
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CIFD: Controlled Information Flow to Enhance Knowledge Distillation
Yashas Malur Saidutta, Rakshith S Srinivasa, Jaejin Cho, Ching-Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha, Dong Gong, Lina Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CLIP in Mirror: Disentangling text from visual images through reflection
Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
Yiğit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar, Aykut Erdem, Erkut Erdem, Aysegul Dundar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
Xi Yu, Shinjae Yoo, Yuewei Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Bofan Chen, Nicholas D. Lane
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
Linye Lyu, Jiawei Zhou, Daojing He, Yu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts
Ziquan OU, Zijun ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
Junho Kim, Hyun Jun Kim, Yeon Ju Kim, Yong Man Ro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
COLD: Causal reasOning in cLosed Daily activities
Abhinav Joshi, Areeb Ahmad, Ashutosh Modi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CRAYM: Neural Field Optimization via Camera RAY Matching
Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
Miria Feng, Zachary Frangella, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
Jisong Kim, Minjae Seong, Jun Won Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search
Ming Yang, Yuzheng Cai, Weiguo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Sijie Zhao, Yong Zhang, Xiaodong Cun, Shaoshu Yang, Muyao Niu, Xiaoyu Li, Wenbo Hu, Ying Shan
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
Trong-Thuan Nguyen, Pha Nguyen, Xin Li, Jackson Cothren, Alper Yilmaz, Khoa Luu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G Honavar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Calibrated Self-Rewarding Vision Language Models
Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen, Chenhang Cui, Xiyao Wang, Yun Li, Linjun Zhang, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Calibrating Reasoning in Language Models with Internal Consistency
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Graph Learning Improve Planning in LLM-based Agents?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
Yinlin Deng, Chunqiu Steven Xia, Zhezhen Cao, Meiziniu Li, Lingming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Language Models Learn to Skip Steps?
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Large Language Model Agents Simulate Human Trust Behavior?
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip H.S. Torr, Bernard Ghanem, Guohao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander D. Goldie, Chris Lu, Matthew T. Jackson, Shimon Whiteson, Jakob N. Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Models Learn Skill Composition from Examples?
Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Simple Averaging Defeat Modern Watermarks?
Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can Transformers Smell Like Humans?
Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
Jikang Cheng, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang, Chen Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
Frédéric Berdoz, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can large language models explore in-context?
Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Can neural operators always be continuously discretized?
Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas
Machine Learning
日本大学: 島根大学
2024 · NeurIPS
Capturing the denoising effect of PCA via compression ratio
Chandra Sekhar Mukherjee, Nikhil Deorkar, Jiapeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cardinality-Aware Set Prediction and Top-$k$ Classification
Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Carrot and Stick: Eliciting Comparison Data and Beyond
Yiling Chen, Shi Feng, Fang-Yi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cascade Speculative Drafting for Even Faster LLM Inference
Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cascade of phase transitions in the training of energy-based models
Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
Thomas Kwa, Drake Thomas, Adrià Garriga-Alonso
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Context Adjustment Loss for Learned Image Compression
Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
Yifan Duan, Jian Zhao, pengcheng, Junyuan Mao, Hao Wu, Jingyu Xu, Shilong Wang, Caoyuan Ma, Kai Wang, Kun Wang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Dependence Plots
Joshua R. Loftus, Lucius E. J. Bynum, Sakina Hansen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Discovery from Event Sequences by Local Cause-Effect Attribution
Joscha Cüppers, Sascha Xu, Ahmed Musa, Jilles Vreeken
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Effect Identification in a Sub-Population with Latent Variables
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Imitation for Markov Decision Processes: a Partial Identification Approach
Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
Alexander W. Levis, Gabriel Loewinger, Francisco Pereira
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal Temporal Representation Learning with Nonstationary Sparse Transition
Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal discovery with endogenous context variables
Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Causal vs. Anticausal merging of predictors
Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cell ontology guided transcriptome foundation model
Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
Zhonglin Sun, Siyang Song, Ioannis Patras, Georgios Tzimiropoulos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
Aref Miri Rekavandi, Farhad Farokhi, Olga Ohrimenko, Benjamin I.P. Rubinstein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arık
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Chain of Thoughtlessness? An Analysis of CoT in Planning
Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang, Denny Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Challenges of Generating Structurally Diverse Graphs
Fedor Velikonivtsev, Mikhail Mironov, Liudmila Prokhorenkova
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
Tuan Hai Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers
Haifeng Huang, Yilun Chen, Zehan Wang, Rongjie Huang, Runsen Xu, Tai Wang, Luping Liu, Xize Cheng, Yang Zhao, Jiangmiao Pang, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ChatCam: Empowering Camera Control through Conversational AI
Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
Yiming Sun, Fan Yu, Shaoxiang Chen, Yu Zhang, Junwei Huang, Yang Li, Chenhui Li, Changbo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
Wanyun Cui, Qianle Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz, Michele Santacatterina, Ramin Zabih
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions
Etienne Vareille, Michele Linardi, Ioannis Tsamardinos, Vassilis Christophides
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
CigTime: Corrective Instruction Generation Through Inverse Motion Editing
Qihang Fang, Chengcheng Tang, Bugra Tekin, Yanchao Yang
Machine Learning
日本大学: 関与なし（対象大学）