Papers
11,015 papers found
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane S Boning et al.
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang, Tarun Gupta, Anuj Mahajan et al.
SAFENet: A Secure, Accurate and Fast Neural Network Inference
Qian Lou, Yilin Shen, Hongxia Jin et al.
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon, Yaron Lipman
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Joseph D Viviano, Becks Simpson, Francis Dutil et al.
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A F M Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin et al.
Sample-Efficient Automated Deep Reinforcement Learning
Jörg K.H. Franke, Gregor Koehler, André Biedenkapp et al.
Scalable Bayesian Inverse Reinforcement Learning
Alex James Chan, Mihaela van der Schaar
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Mike Gartrell, Insu Han, Elvis Dohmatob et al.
Scalable Transfer Learning with Expert Models
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa et al.
Scaling Symbolic Methods using Gradients for Neural Model Explanation
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li et al.
Scaling the Convex Barrier with Active Sets
Alessandro De Palma, Harkirat Behl, Rudy R Bunel et al.
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma et al.
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
Tao Yu, Rui Zhang, Alex Polozov et al.
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn et al.
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang, Jianfeng Wang, Lijuan Wang et al.
Selective Classification Can Magnify Disparities Across Groups
Erik Jones, Shiori Sagawa, Pang Wei Koh et al.
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
Matthew L Leavitt, Ari S. Morcos
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
Sven Gowal, Po-Sen Huang, Aaron van den Oord et al.
Self-supervised Learning from a Multi-view Perspective
Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov et al.
Self-Supervised Learning of Compressed Video Representations
Youngjae Yu, Sangho Lee, Gunhee Kim et al.
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen, Rishabh Jangir, Yu Sun et al.
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang et al.
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo, Bharath Hariharan