Papers
11,955 papers found
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Juncheng Dong, Simiao Ren, Yang Deng et al.
Boosted Curriculum Reinforcement Learning
Pascal Klink, Carlo D'Eramo, Jan Peters et al.
Boosting Randomized Smoothing with Variance Reduced Classifiers
Miklós Z. Horváth, Mark Niklas Mueller, Marc Fischer et al.
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang, Du Jiang, Di He et al.
Bootstrapped Meta-Learning
Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy et al.
Bootstrapping Semantic Segmentation with Regional Contrast
Shikun Liu, Shuaifeng Zhi, Edward Johns et al.
Bregman Gradient Policy Optimization
Feihu Huang, Shangqian Gao, Heng Huang
Bridging Recommendation and Marketing via Recurrent Intensity Modeling
Yifei Ma, Ge Liu, Anoop Deoras
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
Sarath Sreedharan, Utkarsh Soni, Mudit Verma et al.
Buffer-based End-to-end Request Event Monitoring in the Cloud
Kaihui Gao, Chen Sun, Shuai Wang et al.
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Praneeth Karimireddy, Lie He, Martin Jaggi
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Cédric Rommel, Thomas Moreau, Joseph Paillard et al.
Can an Image Classifier Suffice For Action Recognition?
Quanfu Fan, Chun-Fu Chen, Rameswar Panda
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell, Blake Bordelon, Shubhendu Trivedi et al.
Capturing Structural Locality in Non-parametric Language Models
Frank F. Xu, Junxian He, Graham Neubig et al.
Case-based reasoning for better generalization in textual reinforcement learning
Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan et al.
Causal Contextual Bandits with Targeted Interventions
Chandrasekar Subramanian, Balaraman Ravindran
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu, Weihua Chen, Pichao WANG et al.
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation
Colin Wei, J Zico Kolter
Change-point Detection for Sparse and Dense Functional Data in General Dimensions
Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao et al.
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang, Qi Zhang, Yisen Wang et al.
Characterizing Physical-Layer Transmission Errors in Cable Broadband Networks
Jiyao Hu, Zhenyu Zhou, Xiaowei Yang
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay, Vinh Q. Tran, Sebastian Ruder et al.
Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang, Weijiang Li, Xiaomeng Jin et al.