ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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
Stabilizing Backpropagation Through Time to Learn Complex Physics
Patrick Schnell, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stable Anisotropic Regularization
William Rudman, Carsten Eickhoff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh, Dongyoung Lim, Sungil Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
Brian DuSell, David Chiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
State Representation Learning Using an Unbalanced Atlas
Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
Huy Nguyen, Pedram Akbarian Saravi, Fanqi Yan, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter Liu, Jialu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Sipeng Zheng, jiazheng liu, Yicheng Feng, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stochastic Gradient Descent for Gaussian Processes Done Right
Jihao Andreas Lin, Shreyas Padhy, Javier Antorán, Austin Tripp, Alexander Terenin, Csaba Szepesvari, José Miguel Hernández Lobato, David Janz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stochastic Modified Equations and Dynamics of Dropout Algorithm
Zhongwang Zhang, Yuqing Li, Tao Luo, Zhiqin Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
Jiarui Lu, Bozitao Zhong, Zuobai Zhang, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, zhenhua guo, Xiu Li, Martin Danelljan, Fisher Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Structural Fairness-aware Active Learning for Graph Neural Networks
Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
Machine Learning
日本大学: 沖縄科学技術大学院大学
2024 · ICLR
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Submodular Reinforcement Learning
Manish Prajapat, Mojmir Mutny, Melanie Zeilinger, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Subtractive Mixture Models via Squaring: Representation and Learning
Lorenzo Loconte, Aleksanteri Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Successor Heads: Recurring, Interpretable Attention Heads In The Wild
Rhys Gould, Euan Ong, George Ogden, Arthur Conmy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew Leavitt, Naomi Saphra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake A Richards, Guillaume Lajoie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Milan Papez, Martin Rektoris, Vaclav Smidl, Tomáš Pevný
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D
Weiyu LI, Rui Chen, Xuelin Chen, Ping Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Wenlong Liu, Tianyu Yang, Yuhan Wang, Qizhi Yu, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
Rene Winchenbach, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2024 · ICLR
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Symmetric Single Index Learning
Aaron Zweig, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
Ameya Daigavane, Song Eun Kim, Mario Geiger, Tess Smidt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Synaptic Weight Distributions Depend on the Geometry of Plasticity
Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A Richards
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, Wenping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
Yuyao Zhang, Lan Wei, Nikolaos Freris
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini, Sachin Goyal, Zachary Lipton, Zico Kolter, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
T-Rep: Representation Learning for Time Series using Time-Embeddings
Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi, Bin Gu, Huan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, DING ZHAO, Shoham Sabach, Rasool Fakoor
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nick Hansen, Hao Su, Xiaolong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TEDDY: Trimming Edges with Degree-based Discrimination Strategy
Hyunjin Seo, Jihun Yun, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao, Furong Jia, Sercan Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
Hyunwook Lee, Sungahn Ko
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
Junchi Yu, Ran He, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image
Yukai Shi, Jianan Wang, He CAO, Boshi Tang, Xianbiao Qi, Tianyu Yang, Yukun Huang, Shilong Liu, Lei Zhang, Heung-Yeung Shum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TRAM: Bridging Trust Regions and Sharpness Aware Minimization
Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TUVF: Learning Generalizable Texture UV Radiance Fields
An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TabR: Tabular Deep Learning Meets Nearest Neighbors
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tag2Text: Guiding Vision-Language Model via Image Tagging
Xinyu Huang, Youcai Zhang, Jinyu Ma, Weiwei Tian, Rui Feng, Yuejie Zhang, Yaqian Li, Yandong Guo, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tailoring Self-Rationalizers with Multi-Reward Distillation
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V Le, Denny Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Talk like a Graph: Encoding Graphs for Large Language Models
Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tangent Transformers for Composition,Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang, Shaoli Huang, Zhigang Tu, Xin Chen, Xiaohang Zhan, Gang Yu, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
Yucheng Yang, Tianyi Zhou, Qiang HE, Lei Han, Mykola Pechenizkiy, Meng Fang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Task Planning for Visual Room Rearrangement under Partial Observability
Karan Mirakhor, Sourav Ghosh, DIPANJAN DAS, Brojeshwar Bhowmick
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Task structure and nonlinearity jointly determine learned representational geometry
Matteo Alleman, Jack Lindsey, Stefano Fusi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Teach LLMs to Phish: Stealing Private Information from Language Models
Ashwinee Panda, Christopher Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Teaching Arithmetic to Small Transformers
Nayoung Lee, Kartik Sreenivasan, Jason Lee, Kangwook Lee, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Erik Jones, Hamid Palangi, Clarisse Ribeiro, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed H Awadallah, Ece Kamar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Teaching Large Language Models to Self-Debug
Xinyun Chen, Maxwell Lin, Nathanael Schaerli, Denny Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Temporal Generalization Estimation in Evolving Graphs
Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
Sam Toyer, Olivia Watkins, Ethan Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, trevor darrell, Alan Ritter, Stuart Russell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Test-Time Training on Nearest Neighbors for Large Language Models
Moritz Hardt, Yu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Test-time Adaptation against Multi-modal Reliability Bias
Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Text-to-3D with Classifier Score Distillation
Xin Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Song-Hai Zhang, XIAOJUAN QI
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie, Siheng Zhao, Chen Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
Tianyu Huang, Yihan Zeng, Bowen Dong, Hang Xu, Songcen Xu, Rynson W Lau, Wangmeng Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Alignment Problem from a Deep Learning Perspective
Richard Ngo, Lawrence Chan, Sören Mindermann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang, Linjie Xing, Zhe Chen, Hao Li, Xizhou Zhu, Zhiguo Cao, Yushi Chen, Tong Lu, Jifeng Dai, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Shen Nie, Hanzhong Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Consensus Game: Language Model Generation via Equilibrium Search
Athul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Curse of Diversity in Ensemble-Based Exploration
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron Courville
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models
cheng shi, Sibei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz, Maciej Mazurowski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Effective Horizon Explains Deep RL Performance in Stochastic Environments
Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca Dragan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Effectiveness of Random Forgetting for Robust Generalization
Vijaya Raghavan T Ramkumar, Bahram Zonooz, Elahe Arani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Aaron Spieler, Nasim Rahaman, Georg Martius, David Ha, Anna Levina
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Expressive Power of Low-Rank Adaptation
Yuchen Zeng, Kangwook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Expressive Power of Transformers with Chain of Thought
William Merrill, Ashish Sabharwal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The False Promise of Imitating Proprietary Language Models
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Generative AI Paradox: “What It Can Create, It May Not Understand”
Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Hidden Language of Diffusion Models
Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, michal Irani, Inbar Mosseri, Lior Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Human-AI Substitution game: active learning from a strategic labeler
Tom Yan, Chicheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）