Papers
8,340 papers found
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi et al.
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy, David Wu, Sanjiban Choudhury et al.
Investigating the Role of Model-Based Learning in Exploration and Transfer
Jacob C Walker, Eszter Vértes, Yazhe Li et al.
IRNeXt: Rethinking Convolutional Network Design for Image Restoration
Yuning Cui, Wenqi Ren, Sining Yang et al.
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev et al.
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
Yanzhi Chen, Michael U. Gutmann, Adrian Weller
Is Overfitting Necessary for Implicit Video Representation?
Hee Min Choi, Hyoa Kang, Dokwan Oh
Iterative Approximate Cross-Validation
Yuetian Luo, Zhimei Ren, Rina Barber
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
Drew Prinster, Suchi Saria, Anqi Liu
Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu et al.
KDEformer: Accelerating Transformers via Kernel Density Estimation
Amir Zandieh, Insu Han, Majid Daliri et al.
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
Marie Guyomard, Susana Barbosa, Lionel Fillatre
Kernel QuantTree
Diego Stucchi, Paolo Rizzo, Nicolò Folloni et al.
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
Junyoung Park, Jeongyoun Ahn, Cheolwoo Park
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
Label differential privacy and private training data release
Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed et al.
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
Dixian Zhu, Yiming Ying, Tianbao Yang
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
Amin Karbasi, Nikki Lijing Kuang, Yian Ma et al.
Language Instructed Reinforcement Learning for Human-AI Coordination
Hengyuan Hu, Dorsa Sadigh
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi, Xinyun Chen, Kanishka Misra et al.
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal, Haikang Deng, Adam Roberts et al.
Last Switch Dependent Bandits with Monotone Payoff Functions
Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos et al.
Latent Traversals in Generative Models as Potential Flows
Yue Song, T. Anderson Keller, Nicu Sebe et al.
Layered State Discovery for Incremental Autonomous Exploration
Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric et al.
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
Boyin Liu, Zhiqiang Pu, Yi Pan et al.