ICMLArtificial Intelligence
International Conference on Machine Learning
2020 - 2026官方网站
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
- (De)-regularized Maximum Mean Discrepancy Gradient FlowZonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba 等 · 2026 · 被引用 16 次
- (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential GamesIoannis Anagnostides, Ioannis Panageas, Nikolas Patris, Tuomas Sandholm · 2026 · 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 Meent · 2026 · 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
- -PFN: Fast Entropy Search via In-Context LearningHerilalaina Rakotoarison, Steven Adriaensen, Tom Viering, Carl Hvarfner 等 · 2026
- is Theoretically Large Enough for Embedding-based Top- RetrievalZihao Wang, Hang Yin, Lihui Liu, Hanghang Tong 等 · 2026
- Latent Dimension Suffices for Universal Approximation of Permutation-invariant FunctionMin ZHOU, Enming Liang, Minghua Chen · 2026
- pscaling small models: Principled warm starts and hyperparameter transferYuxin Ma, Nan Chen, Mateo D Diaz, Soufiane Hayou 等 · 2026 · 被引用 1 次
- -Balancing for Mixture-of-Experts TrainingLizhang Chen, Jonathan Li, Qi Wang, Runlong Liao 等 · 2026
- : Sigmoid Modulation for Ultra High Resolution DiffusionBingxuan Zhao, Qing Zhou, Yu Wang, Chuang Yang 等 · 2026
- -Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentVictor Barres, Honghua Dong, Soham Ray, Xujie Si 等 · 2026 · 被引用 399 次
- -Knowledge: Evaluating Conversational Agents over Unstructured KnowledgeQuan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan 等 · 2026 · 被引用 15 次
- -Voice: Benchmarking Full-Duplex Voice Agents on Real-World DomainsSoham Ray, Keshav Dhandhania, Victor Barres, Karthik Narasimhan · 2026
- : Decision-Targeted Digital TwinsHarry Amad, Mihaela van der Schaar · 2026
- -SPPO: Semantic-Calibrated Self-Play Preference OptimizationXiwen Chen, Wenhui Zhu, Jingjing Wang, Peijie Qiu 等 · 2026
- : Fully Homomorphic AIM for Private Tabular Synthetic Data GenerationMayank Kumar, Qian Lou, Paulo Barreto, Martine De Cock 等 · 2026 · 被引用 1 次
- : Fast and Accurate Coarse-Grained Neural Network Molecular DynamicsPingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin 等 · 2026
- : Unlocking the Performance Ceiling for Pretrained OptimizersMuqi Han, Ruoqi Xing, KAI WU, Xiaoyu Zhang 等 · 2026