Papers

2,737 papers found
Finite-Time Analysis for Double Q-learning
Huaqing Xiong, Lin Zhao, Yingbin Liang et al.
2020 NIPS
Co-Tuning for Transfer Learning
Kaichao You, Zhi Kou, Mingsheng Long et al.
2020 NIPS
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey et al.
2020 NIPS
Hybrid Models for Learning to Branch
Prateek Gupta, Maxime Gasse, Elias Khalil et al.
2020 NIPS
The MAGICAL Benchmark for Robust Imitation
Sam Toyer, Rohin Shah, Andrew Critch et al.
2020 NIPS
A Theoretical Framework for Target Propagation
Alexander Meulemans, Francesco Carzaniga, Johan Suykens et al.
2020 NIPS
A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen, Edgar Dobriban, Jane Lee
2020 NIPS
A Topological Filter for Learning with Label Noise
Pengxiang Wu, Songzhu Zheng, Mayank Goswami et al.
2020 NIPS
Synthesizing Tasks for Block-based Programming
Umair Ahmed, Maria Christakis, Aleksandr Efremov et al.
2020 NIPS
Subgoal Search For Complex Reasoning Tasks
Konrad Czechowski, Tomasz Odrzygóźdź, Marek Zbysiński et al.
2021 NIPS
Sample Selection for Fair and Robust Training
Yuji Roh, Kangwook Lee, Steven Whang et al.
2021 NIPS
2021 NIPS
Dynamic Grained Encoder for Vision Transformers
Lin Song, Songyang Zhang, Songtao Liu et al.
2021 NIPS
Conformal Time-series Forecasting
Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar
2021 NIPS
Speech-T: Transducer for Text to Speech and Beyond
Jiawei Chen, Xu Tan, Yichong Leng et al.
2021 NIPS
Active clustering for labeling training data
Quentin Lutz, Elie de Panafieu, Maya Stein et al.
2021 NIPS
Compositional Transformers for Scene Generation
Dor Arad Hudson, Larry Zitnick
2021 NIPS
2021 NIPS
Entropic Desired Dynamics for Intrinsic Control
Steven Hansen, Guillaume Desjardins, Kate Baumli et al.
2021 NIPS
Contrastive Learning for Neural Topic Model
Thong Nguyen, Anh Tuan Luu
2021 NIPS
TokenLearner: Adaptive Space-Time Tokenization for Videos
Michael Ryoo, AJ Piergiovanni, Anurag Arnab et al.
2021 NIPS
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
Ze Wang, Zichen Miao, Xiantong Zhen et al.
2021 NIPS
Lossy Compression for Lossless Prediction
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich et al.
2021 NIPS
Augmented Shortcuts for Vision Transformers
Yehui Tang, Kai Han, Chang Xu et al.
2021 NIPS