Papers
11,951 papers found
A Framework for Reasoning about Dynamic Axioms in Description Logics
Bartosz Bednarczyk, Stephane Demri, Alessio Mansutti
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES
Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle et al.
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
Greg Ongie, Rebecca Willett, Daniel Soudry et al.
A Generalized Training Approach for Multiagent Learning
Paul Muller, Shayegan Omidshafiei, Mark Rowland et al.
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
Duygu Ataman, Wilker Aziz, Alexandra Birch
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman et al.
A Learning-based Iterative Method for Solving Vehicle Routing Problems
Hao Lu, Xingwen Zhang, Shuang Yang
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression
Avishek Ghosh, Ramchandran Kannan
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio, Tristan Deleu, Nasim Rahaman et al.
AmphiLight: Direct Air-Water Communication with Laser Light
Charles J. Carver, Zhao Tian, Hongyong Zhang et al.
AMRL: Aggregated Memory For Reinforcement Learning
Jacob Beck, Kamil Ciosek, Sam Devlin et al.
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu et al.
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock, Armand Joulin, Rémi Gribonval et al.
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee, Junsoo Ha, Dongsu Zhang et al.
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li, Sanjeev Arora
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Yanli Liu, Kaiqing Zhang, Tamer Basar et al.
An Improved Latent Low Rank Representation for Automatic Subspace Clustering
Ya-nan Han, Jian-wei Liu, Xiong-lin Luo
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
Silviu Pitis, Harris Chan, Kiarash Jamali et al.
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction
Taeuk Kim, Jihun Choi, Daniel Edmiston et al.
Are Transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat et al.
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould et al.
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
Michael S. Ryoo, AJ Piergiovanni, Mingxing Tan et al.
A Stochastic Derivative Free Optimization Method with Momentum
Eduard Gorbunov, Adel Bibi, Ozan Sener et al.
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
Gersende Fort, Eric Moulines, Hoi-To Wai