ICLR

2022–2026 LIVE

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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
FOSI: Hybrid First and Second Order Optimization
Hadar Sivan, Moshe Gabel, Assaf Schuster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition
Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fair Classifiers that Abstain without Harm
Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fair and Efficient Contribution Valuation for Vertical Federated Learning
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
Raman Dutt, Ondrej Bohdal, Sotirios Tsaftaris, Timothy Hospedales
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
Sepehr Dehdashtian, Lan Wang, Vishnu Boddeti
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
Yair Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Faithful Rule Extraction for Differentiable Rule Learning Models
Xiaxia Wang, David Jaime Tena Cucala, Bernardo Grau, Ian Horrocks
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Faithful Vision-Language Interpretation via Concept Bottleneck Models
Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand Sarwate, Tony Chiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier Henaff, Zeynep Akata
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fantastic Generalization Measures are Nowhere to be Found
Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast Ensembling with Diffusion Schrödinger Bridge
Hyunsu Kim, Jongmin Yoon, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast Equilibrium of SGD in Generic Situations
Zhiyuan Li, Yi Wang, Zhiren Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast Hyperboloid Decision Tree Algorithms
Philippe Chlenski, Ethan Turok, Antonio Moretti, Itsik Pe'er
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast Imitation via Behavior Foundation Models
Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast Value Tracking for Deep Reinforcement Learning
Frank Shih, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast and unified path gradient estimators for normalizing flows
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik Bekkers, Sharvaree Vadgama, Rob Hesselink, Putri van der Linden, David Wilson Romero
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fast-ELECTRA for Efficient Pre-training
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Faster Approximation of Probabilistic and Distributional Values via Least Squares
Weida Li, Yaoliang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
Oren Mangoubi, Nisheeth Vishnoi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William Freeman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Feature Collapse
Thomas Laurent, James von Brecht, Xavier Bresson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Feature emergence via margin maximization: case studies in algebraic tasks
Depen Morwani, Benjamin Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham Kakade
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Feature-aligned N-BEATS with Sinkhorn divergence
Joonhun Lee, Myeongho Jeon, Myungjoo Kang, Kyunghyun Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr Kindratenko, Eliu Huerta, Kibaek Kim, Ravi Madduri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
Junyi Li, Feihu Huang, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
Ziyao Wang, Jianyu Wang, Ang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedInverse: Evaluating Privacy Leakage in Federated Learning
DI WU, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
Zikai Xiao, Zihan Chen, Liyinglan Liu, YANG FENG, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Yang, Zuozhu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
Kai Yi, Nidham Gazagnadou, Peter Richtarik, Lingjuan Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
Weiming Zhuang, Lingjuan Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Federated Causal Discovery from Heterogeneous Data
Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya Ezzeldin, Salman Avestimehr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Federated Recommendation with Additive Personalization
Zhiwei Li, Guodong Long, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Federated Text-driven Prompt Generation for Vision-Language Models
Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi, Madan Ganesh, Zhenzhen Li, Lu Peng, Wan-Yi Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Federated Wasserstein Distance
alain rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Ferret: Refer and Ground Anything Anywhere at Any Granularity
Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Rivera Soto, Kailin Koch, Aleem Khan, Barry Chen, Marcus Bishop, Nicholas Andrews
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Few-shot Hybrid Domain Adaptation of Image Generator
Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Wenxiao Wang, Tu Zheng, Zheng Yang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fiber Monte Carlo
Nick Richardson, Deniz Oktay, Yaniv Ovadia, James Bowden, Ryan P Adams
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, Larry Zitnick, Zachary Ulissi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Nikhil Prakash, Tamar Shaham, Tal Haklay, Yonatan Belinkov, David Bau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fine-Tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher Manning, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Finetuning Text-to-Image Diffusion Models for Fairness
Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan Kankanhalli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Finite Scalar Quantization: VQ-VAE Made Simple
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
First-order ANIL provably learns representations despite overparametrisation
Oğuz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
Hoyong Kim, Kangil Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fixed-Budget Differentially Private Best Arm Identification
Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Tri Dao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Dan Fu, Hermann Kumbong, Eric Nguyen, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
Simon Segert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Flow Matching on General Geometries
Ricky T. Q. Chen, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Reza Esfandiarpoor, Stephen Bach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Forward $\chi^2$ Divergence Based Variational Importance Sampling
Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Forward Learning of Graph Neural Networks
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan Rossi, Puja Trivedi, Nesreen Ahmed
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
Ravi Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Haojie Huang, Owen Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
Yuxing Tian, Yiyan Qi, Fan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
Haonan Qiu, Menghan Xia, Yong Zhang, Yingqing He, Xintao WANG, Ying Shan, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Haiping Wang, Yuan Liu, Bing WANG, YUJING SUN, Zhen Dong, Wenping Wang, Bisheng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Frequency-Aware Transformer for Learned Image Compression
Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
Yanbang Wang, Jon Kleinberg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Claudio Battiloro, Indro Spinelli, Lev Telyatinkov, Michael Bronstein, Simone Scardapane, Paolo Di Lorenzo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
Nima Shoghi, Adeesh Kolluru, John Kitchin, Zachary Ulissi, Larry Zitnick, Brandon Wood
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Posterior Sampling to Meaningful Diversity in Image Restoration
Noa Cohen, Hila Manor, Yuval Bahat, Tomer Michaeli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Sparse to Soft Mixtures of Experts
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Neil Houlsby
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fully Hyperbolic Convolutional Neural Networks for Computer Vision
Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Function Vectors in Large Language Models
Eric Todd, Millicent Li, Arnab Sen Sharma, Aaron Mueller, Byron Wallace, David Bau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Function-space Parameterization of Neural Networks for Sequential Learning
Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Functional Interpolation for Relative Positions improves Long Context Transformers
Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontanon, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fusing Models with Complementary Expertise
Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric Xing, Mikhail Yurochkin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Future Language Modeling from Temporal Document History
Changmao Li, Jeffrey Flanigan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
G$^2$N$^2$ : Weisfeiler and Lehman go grammatical
Jason Piquenot, Aldo Moscatelli, Maxime Berar, Pierre Héroux, Romain Raveaux, Jean-Yves RAMEL, Sébastien Adam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Jingyun Xiao, Ran Liu, Eva Dyer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, jialiang zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, sheng zhao, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）