Papers
11,951 papers found
Parameter-Based Value Functions
Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber
Parameter Efficient Multimodal Transformers for Video Representation Learning
Sangho Lee, Youngjae Yu, Gunhee Kim et al.
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh, Huihan Liu, Gaoyue Zhou et al.
Partitioned Learned Bloom Filters
Kapil Vaidya, Eric Knorr, Michael Mitzenmacher et al.
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
Yujia Liu, Stefano D'Aronco, Konrad Schindler et al.
PDE-Driven Spatiotemporal Disentanglement
Jérémie Donà, Jean-Yves Franceschi, sylvain lamprier et al.
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
Personalized Federated Learning with First Order Model Optimization
Michael Zhang, Karan Sapra, Sanja Fidler et al.
Physics-aware, probabilistic model order reduction with guaranteed stability
Sebastian Kaltenbach, Phaedon Stelios Koutsourelakis
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Ingmar Schubert, Ozgur S Oguz, Marc Toussaint
Planning from Pixels using Inverse Dynamics Models
Keiran Paster, Sheila A. McIlraith, Jimmy Ba
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang, Yuanming Hu, Tao Du et al.
PMI-Masking: Principled masking of correlated spans
Yoav Levine, Barak Lenz, Opher Lieber et al.
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
Wu Xiongwei, Doyen Sahoo, Steven HOI
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design
Xiufeng Yang, Tanuj Aasawat, Kazuki Yoshizoe
Practical Real Time Recurrent Learning with a Sparse Approximation
Jacob Menick, Erich Elsen, Utku Evci et al.
Predicting Classification Accuracy When Adding New Unobserved Classes
Yuli Slavutsky, Yuval Benjamini
Predicting Inductive Biases of Pre-Trained Models
Charles Lovering, Rohan Jha, Tal Linzen et al.
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj et al.
Prediction and generalisation over directed actions by grid cells
Changmin Yu, Timothy Behrens, Neil Burgess
Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam et al.
Primal Wasserstein Imitation Learning
Robert Dadashi, Leonard Hussenot, Matthieu Geist et al.
Private Image Reconstruction from System Side Channels Using Generative Models
Yuanyuan Yuan, Shuai Wang, Junping Zhang
Private Post-GAN Boosting
Marcel Neunhoeffer, Steven Wu, Cynthia Dwork
Probabilistic Numeric Convolutional Neural Networks
Marc Anton Finzi, Roberto Bondesan, Max Welling