Papers
11,955 papers found
Anytime Dense Prediction with Confidence Adaptivity
Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang et al.
A Program to Build E(N)-Equivariant Steerable CNNs
Gabriele Cesa, Leon Lang, Maurice Weiler
Aquila: A unified, low-latency fabric for datacenter networks
Dan Gibson, Hema Hariharan, Eric Lance et al.
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Yunchang Yang, Tianhao Wu, Han Zhong et al.
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Jiaxian Guo, Mingming Gong, Dacheng Tao
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
Ginger Delmas, Rafael S. Rezende, Gabriela Csurka et al.
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian, Zehao Yu, Xing Sun et al.
ASPiRe: Adaptive Skill Priors for Reinforcement Learning
Mengda Xu, Manuela M. Veloso, Shuran Song
Assessing Generalization of SGD via Disagreement
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek et al.
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Dennis Y.H. Wu, Dinan Lin, Vincent Chen et al.
A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks
Matan Haroush, Tzviel Frostig, Ruth Heller et al.
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli, Bruno Ribeiro
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
Jianwen Xie, Yaxuan Zhu, Jun Li et al.
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features
Zhenmei Shi, Junyi Wei, Yingyu Liang
A Theory of Tournament Representations
Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir
Attacking deep networks with surrogate-based adversarial black-box methods is easy
Nicholas A. Lord, Romain Mueller, Luca Bertinetto
Attention-based Interpretability with Concept Transformers
Mattia Rigotti, Christoph Miksovic, Ioana Giurgiu et al.
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable
Shaojin Ding, Tianlong Chen, Zhangyang Wang
Augmented Sliced Wasserstein Distances
Xiongjie Chen, Yongxin Yang, Yunpeng Li
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Yifei Wang, Yisen Wang, Jiansheng Yang et al.
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Anh Tuan Bui, Trung Le, Quan Hung Tran et al.
Automated Self-Supervised Learning for Graphs
Wei Jin, Xiaorui Liu, Xiangyu Zhao et al.
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
Boshi Wang, Jialin Yi, Hang Dong et al.
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Steven James, Benjamin Rosman, George Konidaris