Papers
21,849 papers found
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A. Merrill, Vinayak Gupta et al.
Are Large Language Models Good Statisticians?
Yizhang Zhu, Shiyin Du, Boyan Li et al.
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao, Yang He
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
Lingjiao Chen, Jared Davis, Boris Hanin et al.
Are Multiple Instance Learning Algorithms Learnable for Instances?
Jaeseok Jang, Hyuk-Yoon Kwon
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
Dhananjay Tomar, Alexander Binder, Andreas Kleppe
Are Self-Attentions Effective for Time Series Forecasting?
Dongbin Kim, Jinseong Park, Jaewook Lee et al.
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
Puze Liu, Jonas Günster, Niklas Funk et al.
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen, J. Jon Ryu, Soumya Ghosh et al.
Are We on the Right Way for Evaluating Large Vision-Language Models?
Lin Chen, Jinsong Li, Xiaoyi Dong et al.
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
Zihan Luo, Hong Huang, Yongkang Zhou et al.
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
Renze Chen, Zhuofeng Wang, Beiquan Cao et al.
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization
Yinuo Jiang, Xiuchuan Tang, Cheng Cheng et al.
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
Louis Serrano, Thomas X Wang, Etienne Le Naour et al.
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
Xiayan Ji, Anton Xue, Eric Wong et al.
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
Guanlin Li, Kangjie Chen, Shudong Zhang et al.
Artemis: Towards Referential Understanding in Complex Videos
Jihao Qiu, Yuan Zhang, Xi Tang et al.
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
Jianning Deng, Kartic Subr, Hakan Bilen
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
Jonathan Cook, Chris Lu, Edward Hughes et al.
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda et al.
A scalable generative model for dynamical system reconstruction from neuroimaging data
Eric Volkmann, Alena Brändle, Daniel Durstewitz et al.
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
Anil Kag, Huseyin Coskun, Jierun Chen et al.
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
Ye He, Alireza Mousavi-Hosseini, Krishnakumar Balasubramanian et al.
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
Chu'nan Liu, Lilian Denzler, Yihong Chen et al.
A Siamese Transformer with Hierarchical Refinement for Lane Detection
Zinan Lv, Dong Han, Wenzhe Wang et al.