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
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Nan Duan, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu, YIFEI LI, Jie Fu, Junxian He, Bryan Hooi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng LYU, spencer poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, David Ha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
Vaidehi Ramesh Patil, Peter Hase, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can Transformers Capture Spatial Relations between Objects?
Chuan Wen, Dinesh Jayaraman, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
JIANFEI YANG, Hanjie Qian, Yuecong Xu, Kai Wang, Lihua Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Beerel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Cascading Reinforcement Learning
Yihan Du, R. Srikant, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, Jose Principe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña-Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel Castro, Daniel Alexander
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
Xiuchuan Li, Kun Zhang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
Yaxin Fang, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CausalLM is not optimal for in-context learning
Nan Ding, Tomer Levinboim, Jialin Wu, Sebastian Goodman, Radu Soricut
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
Kesen Zhao, Liang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Causally Aligned Curriculum Learning
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CellPLM: Pre-training of Cell Language Model Beyond Single Cells
Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chain of Hindsight aligns Language Models with Feedback
Hao Liu, Carmelo Sferrazza, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chain of Log-Concave Markov Chains
Saeed Saremi, Ji Won Park, Francis Bach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Zilong (Ryan) Wang, Hao Zhang, Chun-Liang Li, Julian M Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan Ullman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
Yujia Bao, Srinivasan Sivanandan, THEOFANIS KARALETSOS
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Circuit Component Reuse Across Tasks in Transformer Language Models
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
Xun Jiang, zhuomin chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, Ru Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Circumventing Concept Erasure Methods For Text-To-Image Generative Models
Minh Pham, Kelly Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, pring wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Yaodong Yang, Song-Chun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Class Probability Matching with Calibrated Networks for Label Shift Adaption
Hongwei Wen, Annika Betken, Hanyuan Hang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Classification with Conceptual Safeguards
Hailey Joren, Charles Marx, Berk Ustun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontanon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Clifford Group Equivariant Simplicial Message Passing Networks
Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Yogesh Verma, Markus Heinonen, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Closing the Curious Case of Neural Text Degeneration
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CoBIT: A Contrastive Bi-directional Image-Text Generation Model
Haoxuan You, Xiaoyue Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CoLiDE: Concomitant Linear DAG Estimation
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Florian Grötschla, Joël Mathys, Róbert Veres, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Eslam Abdelrahman, Mohamed Ayman Mohamed, Mahmoud Ahmed, Habib, Mohamed Elhoseiny
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Junyan Li, Delin Chen, Yining Hong, Zhenfang Chen, Peihao Chen, Yikang Shen, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
Jiayi Wei, Greg Durrett, Isil Dillig
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
Yiliu Wang, Wei Chen, Milan Vojnovic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
Venkata Sai Surya Subramanyam Duvvuri, Fnu Devvrit, Rohan Anil, Cho-Jui Hsieh, Inderjit Dhillon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Communication-Efficient Federated Non-Linear Bandit Optimization
Chuanhao Li, Chong Liu, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Siqi Zhang, Sayantan Choudhury, Sebastian Stich, Nicolas Loizou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Evuru, Ramaneswaran S, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
Benjamin Lyo, Cristina Savin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee, Hansam Cho, YoungJoon Yoo, Seoung Bum Kim, Yonghyun Jeong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
Yeda Song, Dongwook Lee, Gunhee Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compositional Generative Inverse Design
Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compositional Preference Models for Aligning LMs
DONGYOUNG GO, Tomek Korbak, Germàn Kruszewski, Jos Rozen, Marc Dymetman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compressed Context Memory for Online Language Model Interaction
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compressing LLMs: The Truth is Rarely Pure and Never Simple
AJAY JAISWAL, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Compressing Latent Space via Least Volume
Qiuyi Chen, Mark Fuge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Mahsa Keramati, Lili Meng, R. Evans
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Concept Bottleneck Generative Models
Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo, Stephen Ra, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conditional Information Bottleneck Approach for Time Series Imputation
MinGyu Choi, Changhee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Le
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conditional Variational Diffusion Models
Gabriel della Maggiora, Luis A. Croquevielle, Nikita Deshpande, Harry Horsley, Thomas Heinis, Artur Yakimovich
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Confidential-DPproof: Confidential Proof of Differentially Private Training
Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conformal Inductive Graph Neural Networks
Soroush H. Zargarbashi, Aleksandar Bojchevski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conformal Language Modeling
Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi Jaakkola, Regina Barzilay
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conformal Prediction via Regression-as-Classification
Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conformal Risk Control
Anastasios Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz, Aaditya Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen McAleer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang, Elaine Sui, Serena Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Mingde Zhao, Safa Alver, Harm Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda, Bahram Zonooz, Elahe Arani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
Zihan Ding, Chi Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, WeiHsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistency-guided Prompt Learning for Vision-Language Models
Shuvendu Roy, Ali Etemad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistent Video-to-Video Transfer Using Synthetic Dataset
Jiaxin Cheng, Tianjun Xiao, Tong He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
Yanqin Jiang, Li Zhang, Jin Gao, Weiming Hu, Yao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Constrained Decoding for Cross-lingual Label Projection
Duong Le, Yang Chen, Alan Ritter, Wei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Constraint-Free Structure Learning with Smooth Acyclic Orientations
Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Duanyi YAO, Songze Li, Ye XUE, Jin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Context is Environment
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Context-Aware Meta-Learning
Christopher Fifty, Dennis Duan, Ronald Junkins, Ehsan Amid, Jure Leskovec, Christopher Re, Sebastian Thrun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ContextRef: Evaluating Referenceless Metrics for Image Description Generation
Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
Machine Learning
日本大学: 関与なし（対象大学）