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
Adapting Large Language Models via Reading Comprehension
Daixuan Cheng, Shaohan Huang, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, YUANHAO YU, Konstantinos Plataniotis, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Federated Learning with Auto-Tuned Clients
Junhyung Lyle Kim, Mohammad Taha Toghani, Cesar Uribe, Anastasios Kyrillidis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Instrument Design for Indirect Experiments
Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina Ramirez, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu, Qiuyi (Richard) Zhang, Xinyi Chen, Fred Zhang, David Woodruff, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
Qiang HE, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
Feiyang YE, YUEMING LYU, Xuehao Wang, Yu Zhang, Ivor Tsang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive Window Pruning for Efficient Local Motion Deblurring
Haoying Li, Jixin Zhao, Shangchen Zhou, Huajun Feng, Chongyi Li, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed, A. Rupam Mahmood
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models
Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takáč
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial AutoMixup
Huafeng Qin, Xin Jin, Yun Jiang, Mounîm El-Yacoubi, Xinbo Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Causal Bayesian Optimization
Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Feature Map Pruning for Backdoor
Dong HUANG, Qingwen Bu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Imitation Learning via Boosting
Jonathan Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alex Robey, Fabian Latorre, George Pappas, Hamed Hassani, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka [東京科学大学] [東京農工大学], Qibin Zhao
Machine Learning
日本大学: 東京科学大学 / 東京農工大学
2024 · ICLR
AffineQuant: Affine Transformation Quantization for Large Language Models
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AgentBench: Evaluating LLMs as Agents
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Algorithms for Caching and MTS with reduced number of predictions
Karim Ahmed Abdel Sadek, Marek Elias
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Eliya Segev, Maya Alroy, Ronen Katsir, Noam Wies, Ayana Shenhav, Yael Ben-Oren, David Zar, Oren Tadmor, Jacob Bitterman, Amnon Shashua, Tal Rosenwein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
Zibin Dong, Yifu Yuan, Jianye HAO, Fei Ni, Yao Mu, YAN ZHENG, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Aligning Relational Learning with Lipschitz Fairness
Yaning Jia, Chunhui Zhang, Soroush Vosoughi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AlpaGasus: Training a Better Alpaca with Fewer Data
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Alt-Text with Context: Improving Accessibility for Images on Twitter
Nikita Srivatsan, Sofia Samaniego, Omar Florez, Taylor Berg-Kirkpatrick
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song, Wendi Ren, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Hu Yun, Xinzhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Amortizing intractable inference in large language models
Edward Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
Lijia Zhou, James Simon, Gal Vardi, Nathan Srebro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg, Nikita Araslanov, Daniel Cremers
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
Fei Kong, Jinhao Duan, ruipeng ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Efficient Tester-Learner for Halfspaces
Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Emulator for Fine-tuning Large Language Models using Small Language Models
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher Manning
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Extensible Framework for Open Heterogeneous Collaborative Perception
Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
Dongwon Son, Jaehyung Kim, Sanghyeon Son, Beomjoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Investigation of Representation and Allocation Harms in Contrastive Learning
Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An Unforgeable Publicly Verifiable Watermark for Large Language Models
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An improved analysis of per-sample and per-update clipping in federated learning
Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian Stich
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An interpretable error correction method for enhancing code-to-code translation
Min Xue, Artur Andrzejak, Marla Leuther
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
An operator preconditioning perspective on training in physics-informed machine learning
Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bézenac
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborova
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Machine Learning
日本大学: 東北大学
2024 · ICLR
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Jaemoo Choi, Jaewoong Choi, Myungjoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei GUO, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo DAI
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Annealing Self-Distillation Rectification Improves Adversarial Training
Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AnyText: Multilingual Visual Text Generation and Editing
Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng, Xuansong Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Approximately Piecewise E(3) Equivariant Point Networks
Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
Ian Gemp, Luke Marris, Georgios Piliouras
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
Tong Zhou, Shaolei Ren, Xiaolin Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
yisheng xiao, Juntao Li, Zechen Sun, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Are Human-generated Demonstrations Necessary for In-context Learning?
Rui Li, Guoyin Wang, Jiwei Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Are Models Biased on Text without Gender-related Language?
Catarina Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
Tokio Kajitsuka, 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
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Jean-Rémy Conti, Stephan CLEMENCON
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
Pratik Patil, Daniel LeJeune
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
At Which Training Stage Does Code Data Help LLMs Reasoning?
ma yingwei, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AttEXplore: Attribution for Explanation with model parameters eXploration
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora Salim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Attention-based Iterative Decomposition for Tensor Product Representation
Taewon Park, inchul choi, Minho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Augmented Bayesian Policy Search
Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Augmenting Transformers with Recursively Composed Multi-grained Representations
Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
Xuanlei Zhao, Shenggan Cheng, Guangyang LU, Haotian Zhou, Bin Jia, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AutoLoRa: An Automated Robust Fine-Tuning Framework
Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AutoVP: An Automated Visual Prompting Framework and Benchmark
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Sijia Liu, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
Jonas Belouadi, Anne Lauscher, Steffen Eger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Automatic Functional Differentiation in JAX
Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
Yuan Gao, WEIZHONG ZHANG, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis, Hadi J. Rad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
Frederikke Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Haixin Wang, Jiaxin Li, Anubhav Dwivedi, Kentaro Hara, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Gao Peng, Fengwei An, Yu Qiao, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK
Quoc Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen (Tianhao) Wang, Prateek Mittal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Backdoor Contrastive Learning via Bi-level Trigger Optimization
Weiyu Sun, Xinyu Zhang, Hao LU, YINGCONG CHEN, Ting Wang, Jinghui Chen, Lu Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
Machine Learning
日本大学: 関与なし（対象大学）