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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
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Kamal, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari Morcos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Ziqiang Li, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Backpropagation with Variance Controlled Adaptive Sampling
Ziteng Wang, Jianfei Chen, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Continual Finite-Sum Minimization
Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Dadi, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient ConvBN Blocks for Transfer Learning and Beyond
Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
Arnab Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na, Yunkyeong Seo, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
Minh Hoang, Carl Kingsford
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey, Maja Rudolph, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Inverse Multiagent Learning
Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Modulation for Vision Networks
Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Multi-agent Reinforcement Learning by Planning
Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Planning with Latent Diffusion
Wenhao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Score Matching with Deep Equilibrium Layers
Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Streaming Language Models with Attention Sinks
Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Subgraph GNNs by Learning Effective Selection Policies
Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom, Bruno Ribeiro, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, anima anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient and Scalable Graph Generation through Iterative Local Expansion
Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient local linearity regularization to overcome catastrophic overfitting
Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Yifan Jiang, Hao Tang, Jen-Hao Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
YEFEI HE, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Efficiently Computing Similarities to Private Datasets
Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
Simone Magistri, Tomaso Trinci, Albin Soutif--Cormerais, Joost van de Weijer, Andrew Bagdanov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Elucidating the design space of classifier-guided diffusion generation
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Embarrassingly Simple Dataset Distillation
Yunzhen Feng, Shanmukha Ramakrishna Vedantam, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei XIE, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Emergent Communication with Conversational Repair
Mitja Nikolaus
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Schäfer, Georg Martius, Anna Levina
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Empirical Likelihood for Fair Classification
Pangpang Liu, Yichuan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Emu: Generative Pretraining in Multimodality
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
Shengjie Luo, Tianlang Chen, Aditi Krishnapriyan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Energy-based Automated Model Evaluation
Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram Deshpande
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Energy-guided Entropic Neural Optimal Transport
Petr Mokrov, Aleksandr Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhanced Face Recognition using Intra-class Incoherence Constraint
Yuanqing Huang, Yinggui Wang, Le Yang, Lei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
Jiyang Zheng, Yu Yao, Bo Han, Dadong Wang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Dubey, Amr Ahmed, Snigdha Chaturvedi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, QIANG FU, Yang Wei, Lanxiao Huang, Wei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang, Aly Khan, Yuxin Chen, Robert Grossman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Neural Training via a Correlated Dynamics Model
Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
xinlu zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Petzold
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Ensemble Distillation for Unsupervised Constituency Parsing
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Cheung, Lili Mou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati, Tal Daniel, Aviv Tamar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Entropy Coding of Unordered Data Structures
Julius Kunze, Daniel Severo, giulio zani, Jan-Willem van de Meent, James Townsend
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Entropy-MCMC: Sampling from Flat Basins with Ease
Bolian Li, Ruqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das, Tess Smidt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Equivariant Matrix Function Neural Networks
Ilyes Batatia, Lars Leon Schaaf, Gábor Csányi, Christoph Ortner, Felix Faber
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Bowen Jing, Tommi Jaakkola, Bonnie Berger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Peter Richtarik, Elnur Gasanov, Konstantin Burlachenko
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Xinglin Wang, Bin Sun, Heda Wang, Kan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Estimating Conditional Mutual Information for Dynamic Feature Selection
Soham Gadgil, Ian Covert, Su-In Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Estimating Shape Distances on Neural Representations with Limited Samples
Dean Pospisil, Brett Larsen, Sarah Harvey, Alex Williams
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Jim Fan, anima anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Evaluating Language Model Agency Through Negotiations
Tim R. Davidson, Veniamin Veselovsky, Michal Kosinski, Robert West
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Evaluating Representation Learning on the Protein Structure Universe
Arian Jamasb, Alex Morehead, Chaitanya Joshi, Zuobai Zhang, Kieran Didi, Simon Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom Blundell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models
Jiuding Sun, Chantal Shaib, Byron Wallace
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Expected flow networks in stochastic environments and two-player zero-sum games
Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Stefano Blumberg, Paddy Slator, Daniel Alexander
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Explaining Time Series via Contrastive and Locally Sparse Perturbations
Zichuan Liu, Yingying ZHANG, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric Chang, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses
Chuanqing Wang, Di Wu, Chaoming Fang, Jie Yang, Mohamad Sawan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploring Target Representations for Masked Autoencoders
xingbin liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa, Issei Sato [東京科学大学] [東京大学]
Machine Learning
日本大学: 東京科学大学 / 東京大学
2024 · ICLR
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
Hanyu Zhou, Yi Chang, Haoyue Liu, YAN WENDING, Yuxing Duan, Zhiwei Shi, Luxin Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploring the Promise and Limits of Real-Time Recurrent Learning
Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li, Rong Wang, Quanling Deng, Amanda Barnard
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Exposing Text-Image Inconsistency Using Diffusion Models
Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Expressive Losses for Verified Robustness via Convex Combinations
Alessandro De Palma, Rudy R Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Expressivity of ReLU-Networks under Convex Relaxations
Maximilian Baader, Mark N Müller, Yuhao Mao, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Ben Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FITS: Modeling Time Series with $10k$ Parameters
Zhijian Xu, Ailing Zeng, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Seonghyeon Ye, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Perez-Rua, Bodo Rosenhahn, Tao Xiang, Sen He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
Chenhao Li, Elijah Stanger-Jones, Steve Heim, Sang bae Kim
Machine Learning
日本大学: 関与なし（対象大学）