Papers
21,849 papers found
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Eyal Michaeli, Ohad Fried
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
Kunyu Peng, Di Wen, Kailun Yang et al.
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang et al.
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
Sijia Chen, Yibo Wang, Yi-Feng Wu et al.
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
Chengting Yu, Lei Liu, Gaoang Wang et al.
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
Liyun Zhu, Lei Wang, Arjun Raj et al.
Advection Augmented Convolutional Neural Networks
Niloufar Zakariaei, Siddharth Rout, Eldad Haber et al.
Adversarial Environment Design via Regret-Guided Diffusion Models
Hojun Chung, Junseo Lee, Minsoo Kim et al.
Adversarially Robust Decision Transformer
Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban et al.
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters
David P. Woodruff, Samson Zhou
Adversarially Robust Multi-task Representation Learning
Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah et al.
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
Honghao Wei, Xiyue Peng, Arnob Ghosh et al.
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Yihao Zhang, Zeming Wei, Jun Sun et al.
Adversarial Schrödinger Bridge Matching
Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin et al.
AED: Adaptable Error Detection for Few-shot Imitation Policy
Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo et al.
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
Lennert De Smet, Pedro Zuidberg Dos Martires
AFBench: A Large-scale Benchmark for Airfoil Design
Jian Liu, Jianyu Wu, Hairun Xie et al.
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun, Li Shen, Dacheng Tao
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca et al.
A Foundation Model for Zero-shot Logical Query Reasoning
Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro et al.
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han, Bamdev Mishra, Pratik Jawanpuria et al.
A Full-duplex Speech Dialogue Scheme Based On Large Language Model
Peng Wang, Songshuo Lu, Yaohua Tang et al.
A Functional Extension of Semi-Structured Networks
David Rügamer, Bernard X.W. Liew, Zainab Altai et al.
A generalized neural tangent kernel for surrogate gradient learning
Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke