Papers
11,015 papers found
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh, Alexandre H. Thiery
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
Peizhao Li, Yifei Wang, Han Zhao et al.
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
Atish Agarwala, Abhimanyu Das, Brendan Juba et al.
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang, Kaidi Xu, Sijia Liu et al.
On Graph Neural Networks versus Graph-Augmented MLPs
Lei Chen, Zhengdao Chen, Joan Bruna
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
Sitan Chen, Xiaoxiao Li, Zhao Song et al.
On Learning Universal Representations Across Languages
Xiangpeng Wei, Rongxiang Weng, Yue Hu et al.
Online Adversarial Purification based on Self-supervised Learning
Changhao Shi, Chester Holtz, Gal Mishne
On Position Embeddings in BERT
Benyou Wang, Lifeng Shang, Christina Lioma et al.
On Self-Supervised Image Representations for GAN Evaluation
Stanislav Morozov, Andrey Voynov, Artem Babenko
On Statistical Bias In Active Learning: How and When to Fix It
Sebastian Farquhar, Yarin Gal, Tom Rainforth
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon, Eran Yahav
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih, Arjun Sawhney, Jovana Kondic et al.
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
Zhong Li, Jiequn Han, Weinan E et al.
On the Dynamics of Training Attention Models
Haoye Lu, Yongyi Mao, Amiya Nayak
On the geometry of generalization and memorization in deep neural networks
Cory Stephenson, suchismita padhy, Abhinav Ganesh et al.
On the mapping between Hopfield networks and Restricted Boltzmann Machines
Matthew Smart, Anton Zilman
On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel L Smith, Benoit Dherin, David Barrett et al.
On the role of planning in model-based deep reinforcement learning
Jessica B Hamrick, Abram L. Friesen, Feryal Behbahani et al.
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow
On the Transfer of Disentangled Representations in Realistic Settings
Andrea Dittadi, Frederik Träuble, Francesco Locatello et al.
On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym, Haggai Maron