ICMLArtificial Intelligence

International Conference on Machine Learning

官方网站

17,459已索引 Paper

2020-2026覆盖年份

最新论文

“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft DesignAurelien Ghiglino, Daniel Elenius, Anirban Roy, Ramneet Kaur 等2026 · 被引用 1 次
“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty QuantificationJinhao Duan, Zicheng Liu, Zijie Liu, Kaidi Xu 等2026
(1D) Ordered Tokens Enable Efficient Test-Time SearchZhitong Gao, Parham Rezaei, Ali Cy, Mingqiao Ye 等2026 · 被引用 1 次
(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML TransformationsJinhao Duan, Ruichen Zhang, Gengwei Zhang, Huaizhi Qu 等2026
(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential GamesIoannis Anagnostides, Ioannis Panageas, Nikolas Patris, Tuomas Sandholm2026 · 被引用 2 次
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting ModelsMaksim Zhdanov, Ana Lucic, Max Welling, Jan-Willem van de Meent2026 · 被引用 2 次
[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive AggregationAkang Wang, Xili Deng, Zhanxuan Hu, Yi Zhao 等2026 · 被引用 1 次
MemPot: Defend Against Memory Extraction Attack with Optimized HoneypotsYuhao Wang, Shengfang ZHAI, Guanghao Jin, Yinpeng Dong 等2026 · 被引用 1 次
``Someone Hid It!'': Query-Agnostic Black-Box Attacks on LLM-Based RetrievalJiate Li, Defu Cao, Li Li, Wei Yang 等2026 · 被引用 4 次
$\alpha$ -PFN: Fast Entropy Search via In-Context LearningHerilalaina Rakotoarison, Steven Adriaensen, Tom Viering, Carl Hvarfner 等2026
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top- $k$ RetrievalZihao Wang, Hang Yin, Lihui Liu, Hanghang Tong 等2026
$\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant FunctionMin ZHOU, Enming Liang, Minghua Chen2026
$\mu$ pscaling small models: Principled warm starts and hyperparameter transferYuxin Ma, Nan Chen, Mateo D Diaz, Soufiane Hayou 等2026 · 被引用 1 次
$\phi$ -Balancing for Mixture-of-Experts TrainingLizhang Chen, Jonathan Li, Qi Wang, Runlong Liao 等2026
$\sigma$ : Sigmoid Modulation for Ultra High Resolution DiffusionBingxuan Zhao, Qing Zhou, Yu Wang, Chuang Yang 等2026
$\tau^2$ -Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentVictor Barres, Honghua Dong, Soham Ray, Xujie Si 等2026 · 被引用 399 次
$\tau$ -Knowledge: Evaluating Conversational Agents over Unstructured KnowledgeQuan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan 等2026 · 被引用 15 次
$\tau$ -Voice: Benchmarking Full-Duplex Voice Agents on Real-World DomainsSoham Ray, Keshav Dhandhania, Victor Barres, Karthik Narasimhan2026
$\text{DT}^\text{2}$ : Decision-Targeted Digital TwinsHarry Amad, Mihaela van der Schaar2026
$\textit{S}$ -SPPO: Semantic-Calibrated Self-Play Preference OptimizationXiwen Chen, Wenhui Zhu, Jingjing Wang, Peijie Qiu 等2026
$\texttt{FHAIM}$ : Fully Homomorphic AIM for Private Tabular Synthetic Data GenerationMayank Kumar, Qian Lou, Paulo Barreto, Martine De Cock 等2026 · 被引用 1 次
$\texttt{FlashSchNet}$ : Fast and Accurate Coarse-Grained Neural Network Molecular DynamicsPingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin 等2026
$\texttt{MetaDistill}$ : Unlocking the Performance Ceiling for Pretrained OptimizersMuqi Han, Ruoqi Xing, KAI WU, Xiaoyu Zhang 等2026
$\texttt{Multi}^2$ : Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive EnvironmentsSangeun Park, Minhae Kwon2026