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
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The LLM Surgeon
Tycho van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Marginal Value of Momentum for Small Learning Rate SGD
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Need for Speed: Pruning Transformers with One Recipe
Samir Khaki, Konstantinos Plataniotis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Reasonableness Behind Unreasonable Translation Capability of Large Language Model
Tingchen Fu, lemao liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Stickland, Tomek Korbak, Owain Evans
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Trickle-down Impact of Reward Inconsistency on RLHF
Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma, Jordan Ash, Dipendra Kumar Misra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
Daniel Severo, Lucas Theis, Johannes Ballé
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Update-Equivalence Framework for Decision-Time Planning
Samuel Sokota, Gabriele Farina, David Wu, Hengyuan Hu, Kevin A. Wang, Zico Kolter, Noam Brown
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Raphael Avalos, Florent Delgrange, Ann Nowe, Guillermo Perez, Diederik M. Roijers
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The importance of feature preprocessing for differentially private linear optimization
Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
Gautam Reddy Nallamala
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
The optimality of kernel classifiers in Sobolev space
Jianfa Lai, zhifan Li, Dongming Huang, Qian Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
Shaopeng Fu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Machine Learning
日本大学: 千葉大学 / 東京大学
2024 · ICLR
Thin-Shell Object Manipulations With Differentiable Physics Simulations
Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel Ni, Heung-Yeung Shum, Jian Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Threaten Spiking Neural Networks through Combining Rate and Temporal Information
Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin ZHANG, Linghan Xu, Jun Fang, Qingming Tang, Yingnian Wu, Joseph Tighe, Yifan Xing
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza Mousavi Kalan, Samory Kpotufe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Time Travel in LLMs: Tracing Data Contamination in Large Language Models
Shahriar Golchin, Mihai Surdeanu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor, Jonas Mueller, Zachary Lipton, Pratik A Chaudhari, Alex Smola
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Zhang, JUN ZHOU
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
Darshil Doshi, Aritra Das, Tianyu He, Andrey Gromov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar Tal, Shai Bagon, Tali Dekel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tool-Augmented Reward Modeling
Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, hua wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan Rossi, Somdeb Sarkhel, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, dahai li, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Topic Modeling as Multi-Objective Contrastive Optimization
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Dongming Wu, Jiahao Chang, Fan Jia, Yingfei Liu, Tiancai Wang, Jianbing Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Topological data analysis on noisy quantum computers
Ismail Akhalwaya, Shashanka Ubaru, Kenneth Clarkson, Mark Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
Stephen McAleer, John Banister Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Toward Student-oriented Teacher Network Training for Knowledge Distillation
Chengyu Dong, Liyuan Liu, Jingbo Shang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Toward effective protection against diffusion-based mimicry through score distillation
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards 3D Molecule-Text Interpretation in Language Models
Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
Machine Learning
日本大学: 東京科学大学
2024 · ICLR
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Category Unification of 3D Single Object Tracking on Point Clouds
Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David Inouye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song, Hawoong Jeong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Yanbo Wang, Jian Liang, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Establishing Guaranteed Error for Learned Database Operations
Sepanta Zeighami, Cyrus Shahabi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini, Shenyang(Andy) Huang, Joao Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanellu, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
Fan Shi, Bin Li, Xiangyang Xue
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha, Xiao Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
Changwen Zhang, wenli ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Ziyao Guo, Kai Wang, George Cazenavette, HUI LI, Kaipeng Zhang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Meta-Pruning via Optimal Transport
Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Offline Opponent Modeling with In-context Learning
Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, QIANG FU, Junliang Xing, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
Haolin Liu, Chen-Yu Wei, Julian Zimmert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Poisoning Fair Representations
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Principled Representation Learning from Videos for Reinforcement Learning
Dipendra Kumar Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
Xiong Xu, Kunzhe Huang, Yiming Li, Zhan Qin, Kui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Robust Multi-Modal Reasoning via Model Selection
Xiangyan Liu, Rongxue LI, Wei Ji, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Feng Lu, Lijun Zhang, Xiangyuan Lan, Shuting Dong, Yaowei Wang, Chun Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Ratsch, Hadi Daneshmand
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Transparent Time Series Forecasting
Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Understanding Factual Knowledge of Large Language Models
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip Yu, Zhijiang Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Understanding Sycophancy in Language Models
Mrinank Sharma, Meg Tong, Tomek Korbak, David Duvenaud, Amanda Askell, Sam Bowman, Esin DURMUS, Zac Hatfield-Dodds, Scott Johnston, Shauna Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards a statistical theory of data selection under weak supervision
Germain Kolossov, Andrea Montanari, Pulkit Tandon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards image compression with perfect realism at ultra-low bitrates
Marlene Careil, Matthew J Muckley, Jakob Verbeek, Stéphane Lathuilière
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
Qingyue Zhao, Banghua Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg, Zhiqi Bu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Training Graph Transformers via Curriculum-Enhanced Attention Distillation
Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Training Socially Aligned Language Models on Simulated Social Interactions
Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Diyi Yang, Soroush Vosoughi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）