ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2024 · 2,260 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 · ICLR
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
Yulu Gan, Sung Woo Park, Alexander Schubert, Anthony Philippakis, Ahmed Alaa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
InstructDET: Diversifying Referring Object Detection with Generalized Instructions
Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian GE, Lin Song, Lijun GONG, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, Yibing Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
Chenguo Lin, Yadong MU
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
Taehyeon Kim, JOONKEE KIM, Gihun Lee, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Intelligent Switching for Reset-Free RL
Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, Ping Luo, Ziwei Liu, Yali Wang, Limin Wang, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan JIANG, Edith Ngai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
Jiawei Sun, Kailai Li, Ruoxin Chen, Jie LI, Chentao Wu, Yue Ding, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Interpretable Diffusion via Information Decomposition
Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, marc lelarge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
Liu Xiaoyi, Duxin Chen, Wenjia Wei, Xia Zhu, Wenwu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Interpreting CLIP's Image Representation via Text-Based Decomposition
Yossi Gandelsman, Alexei Efros, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, yiqing li, Susan Wei, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Intriguing Properties of Generative Classifiers
Priyank Jaini, Kevin Clark, Robert Geirhos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Invariance-based Learning of Latent Dynamics
Kai Lagemann, Christian Lagemann, Sach Mukherjee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang, Zhong Li, Qianxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Shashank Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira, Yuki Asano, Yannis Avrithis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Aleksandar Makelov, Georg Lange, Atticus Geiger, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
CHEN CHEN, Ruizhe Li, Yuchen Hu, Sabato Siniscalchi, Pin-Yu Chen, Ensiong Chng, Chao-Han Huck Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
Aleksei Ustimenko, Aleksandr Beznosikov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, Yao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Jointly Training Large Autoregressive Multimodal Models
Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Jointly-Learned Exit and Inference for a Dynamic Neural Network
Florence Regol, Joud Chataoui, Mark Coates
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clem Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries Smit, Nathan Grinsztajn, Raphael Boige, Cemlyn Waters, Mohamed Ali Mimouni, Ulrich Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Peshawaria, Ranjita Naik, Besmira Nushi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Kalman Filter for Online Classification of Non-Stationary Data
Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Kernelised Normalising Flows
Eshant English, Matthias Kirchler, Christoph Lippert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Knowledge Distillation Based on Transformed Teacher Matching
Kaixiang Zheng, EN-HUI YANG
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Knowledge Fusion of Large Language Models
Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei BI, Shuming Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, Juanzi Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2024 · ICLR
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
L2P-MIP: Learning to Presolve for Mixed Integer Programming
Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LCOT: Linear Circular Optimal Transport
ROCIO DIAZ MARTIN, Ivan Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo Rohde, Soheil Kolouri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang, Ricardo Campello, Sarah Erfani, Xingjun Ma, Michael E. Houle, James Bailey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LEAP: Liberate Sparse-View 3D Modeling from Camera Poses
Hanwen Jiang, Zhenyu Jiang, Yue Zhao, Qixing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LILO: Learning Interpretable Libraries by Compressing and Documenting Code
Gabriel Grand, Lio Wong, Maddy Bowers, Theo X. Olausson, Muxin Liu, Joshua B Tenenbaum, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Hanan Gani, Shariq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E Gonzalez, Koushik Sen, Ion Stoica
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLM-grounded Video Diffusion Models
Long Lian, Baifeng Shi, Adam Yala, trevor darrell, Boyi Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, Fan Chen, Lei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
Sheng JIn, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Gao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric Xing, Joseph E Gonzalez, Ion Stoica, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Zeyu Liu, Gourav Datta, Anni Li, Peter Beerel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LOQA: Learning with Opponent Q-Learning Awareness
Milad Aghajohari, Juan Duque, Timotheus Cooijmans, Aaron Courville
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo, Philip Greengard, Eric Xing, Yoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LRM: Large Reconstruction Model for Single Image to 3D
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao
Machine Learning
日本大学: 九州大学
2024 · ICLR
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
Lingfeng Liu, Dong Ni, Hangjie Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Gunho Park, baeseong park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Label-Focused Inductive Bias over Latent Object Features in Visual Classification
Ilmin Kang, HyounYoung Bae, Kangil Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Label-Noise Robust Diffusion Models
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Label-free Node Classification on Graphs with Large Language Models (LLMs)
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LabelDP-Pro: Learning with Label Differential Privacy via Projections
Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Lagrangian Flow Networks for Conservation Laws
Fabricio Arend Torres, Marcello Negri, Marco Inversi, Jonathan Aellen, Volker Roth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
LU YU, Avetik Karagulyan, Arnak Dalalyan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
David Bell, Yujie Lu, Shinda Huang, William Wang, Amy Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Model Beats Diffusion - Tokenizer is key to visual generation
Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David Ross, Lu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Model Cascades: Token-Level Uncertainty And Beyond
Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Model Detectors Are Easily Optimized Against
Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher Manning, Chelsea Finn, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Model Inversion
John X. Morris, Wenting Zhao, Justin Chiu, Vitaly Shmatikov, Alexander Rush
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Model Self-improvement by Reinforcement Learning Contemplation
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, XiongHui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Modeling Is Compression
Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language-Informed Visual Concept Learning
Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Bin Zhu, Bin Lin, Munan Ning, YANG YAN, Jiaxi Cui, WANG HongFa, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Cai Zhang, Zhifeng Li, Wei Liu, Yuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Wei-Bang Jiang, Liming Zhao, Bao-liang Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning
Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models Are Not Robust Multiple Choice Selectors
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models Cannot Self-Correct Reasoning Yet
Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Yu, Xinying Song, Denny Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Yuchen Hu, CHEN CHEN, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Ensiong Chng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models as Analogical Reasoners
Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji, Chongjian GE, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）