Papers
11,951 papers found
Transformer protein language models are unsupervised structure learners
Roshan Rao, Joshua Meier, Tom Sercu et al.
Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch et al.
Transient Non-stationarity and Generalisation in Deep Reinforcement Learning
Maximilian Igl, Gregory Farquhar, Jelena Luketina et al.
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
Martin Trimmel, Henning Petzka, Cristian Sminchisescu
Trusted Multi-View Classification
Zongbo Han, Changqing Zhang, Huazhu Fu et al.
UMEC: Unified model and embedding compression for efficient recommendation systems
Jiayi Shen, Haotao Wang, Shupeng Gui et al.
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu, Chih-Yao Ma, Zijian He et al.
Uncertain Graph Neural Networks for Facial Action Unit Detection
Tengfei Song, Lisha Chen, Wenming Zheng et al.
Uncertainty-aware Active Learning for Optimal Bayesian Classifier
Guang Zhao, Edward Dougherty, Byung-Jun Yoon et al.
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang, Carolin Lawrence, Mathias Niepert
Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin, Mark Gales
Uncertainty in Gradient Boosting via Ensembles
Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Nikolas Angelopoulos, Stephen Bates, Michael Jordan et al.
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
Xuebo Liu, Longyue Wang, Derek F. Wong et al.
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
Liang Ding, Longyue Wang, Xuebo Liu et al.
Understanding Over-parameterization in Generative Adversarial Networks
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat et al.
Understanding the effects of data parallelism and sparsity on neural network training
Namhoon Lee, Thalaiyasingam Ajanthan, Philip Torr et al.
Understanding the failure modes of out-of-distribution generalization
Vaishnavh Nagarajan, Anders Andreassen, Behnam Neyshabur
Understanding the role of importance weighting for deep learning
Da Xu, Yuting Ye, Chuanwei Ruan
Undistillable: Making A Nasty Teacher That CANNOT teach students
Haoyu Ma, Tianlong Chen, Ting-Kuei Hu et al.
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul, Saptarshi Chakraborty, Swagatam Das et al.
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang, Tadashi Kozuno, Mark Rowland et al.
Universal approximation power of deep residual neural networks via nonlinear control theory
Paulo Tabuada, Bahman Gharesifard
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Tsung-Wei Ke, Jyh-Jing Hwang, Stella Yu
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani et al.