Papers
On the Contributions of Visual and Textual Supervision in Low-Resource Semantic Speech Retrieval
Ankita Pasad, Bowen Shi, Herman Kamper et al.
On the Convergence and Robustness of Adversarial Training
Yisen Wang, Xingjun Ma, James Bailey et al.
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen, Sijia Liu, Ruoyu Sun et al.
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size
Francois Kamper, Sarel J. Steel, Johan A. du Preez
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick et al.
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyu Li, Francesco Orabona
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
Yi Xu, Zhuoning Yuan, Sen Yang et al.
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru, Jean Honorio
On the Curved Geometry of Accelerated Optimization
Aaron Defazio
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method
Pu Zhao, Sijia Liu, Pin-Yu Chen et al.
On the Design of Estimators for Bandit Off-Policy Evaluation
Nikos Vlassis, Aurelien Bibaut, Maria Dimakopoulou et al.
On the Distortion Value of the Elections with Abstention
Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study
Damián E. Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin et al.
On the Downstream Performance of Compressed Word Embeddings
Avner May, Jian Zhang, Tri Dao et al.
On the Dynamics of Gradient Descent for Autoencoders
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
On the Effectiveness of Low Frequency Perturbations
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen
On the Efficacy of Knowledge Distillation
Jang Hyun Cho, Bharath Hariharan
On the Efficiency and Equilibria of Rich Ads
MohammadAmin Ghiasi, MohammadTaghi Hajiaghayi, Sébastien Lahaie et al.
On the End-to-End Solution to Mandarin-English Code-Switching Speech Recognition
Zhiping Zeng, Yerbolat Khassanov, Van Tung Pham et al.
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen, Soledad Villar, Lei Chen et al.
On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao, Sheng Li, Yaliang Li et al.
On the Expressive Power of Deep Polynomial Neural Networks
Joe Kileel, Matthew Trager, Joan Bruna
On the Fairness of Disentangled Representations
Francesco Locatello, Gabriele Abbati, Thomas Rainforth et al.