Papers
11,951 papers found
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension
Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia et al.
Neutral Tone in Changde Mandarin
Zhenrui Zhang, Fang Hu
Never Give Up: Learning Directed Exploration Strategies
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi et al.
Non-Autoregressive Dialog State Tracking
Hung Le, Richard Socher, Steven C.H. Hoi
Novelty Detection Via Blurring
Sungik Choi, Sae-Young Chung
Oblique Decision Trees from Derivatives of ReLU Networks
Guang-He Lee, Tommi S. Jaakkola
Observational Overfitting in Reinforcement Learning
Xingyou Song, Yiding Jiang, Stephen Tu et al.
On Bonus Based Exploration Methods In The Arcade Learning Environment
Adrien Ali Taiga, William Fedus, Marlos C. Machado et al.
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai, Chuang Gan, Tianzhe Wang et al.
On Computation and Generalization of Generative Adversarial Imitation Learning
Minshuo Chen, Yizhou Wang, Tianyi Liu et al.
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation
Shunshi Zhang, Bradly C. Stadie
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
Jian Li, Xuanyuan Luo, Mingda Qiao
Ongoing Phonologization of Word-Final Voicing Alternations in Two Romance Languages: Romanian and French
Mathilde Hutin, Adèle Jatteau, Ioana Vasilescu et al.
On Identifiability in Transformers
Gino Brunner, Yang Liu, Damian Pascual et al.
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach
Kimon Antonakopoulos, E. Veronica Belmega, Panayotis Mertikopoulos
Online IMU Intrinsic Calibration: Is It Necessary?
Yulin Yang, Patrick Geneva, Xingxing Zuo et al.
On Mutual Information Maximization for Representation Learning
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein et al.
On Robustness of Neural Ordinary Differential Equations
Hanshu YAN, Jiawei DU, Vincent TAN et al.
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang*, Guodong Zhang*, Jimmy Ba
On the Convergence of FedAvg on Non-IID Data
Xiang Li, Kaixuan Huang, Wenhao Yang et al.
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan, Bruno Ribeiro
On the Expressive Power of Kernel Methods and the Efficiency of Kernel Learning by Association Schemes
Kothari K. Pravesh, Livni Roi
On the Global Convergence of Training Deep Linear ResNets
Difan Zou, Philip M. Long, Quanquan Gu
On the interaction between supervision and self-play in emergent communication
Ryan Lowe*, Abhinav Gupta*, Jakob Foerster et al.
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
Uyeong Jang, Susmit Jha, Somesh Jha