Papers
11,015 papers found
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Bogdan Mazoure, Ahmed M Ahmed, R Devon Hjelm et al.
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning
Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie, Xiang Fu, Octavian-Eugen Ganea et al.
Curriculum learning as a tool to uncover learning principles in the brain
Daniel R. Kepple, Rainer Engelken, Kanaka Rajan
CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO
Khang Truong Giang, Soohwan Song, Sungho Jo
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen, Enze Xie, Chongjian GE et al.
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu, Feng Li, Hao Zhang et al.
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu, Zhang Hongyin, Donglin Wang
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Aviral Kumar, Amir Yazdanbakhsh, Milad Hashemi et al.
Data-Efficient Graph Grammar Learning for Molecular Generation
Minghao Guo, Veronika Thost, Beichen Li et al.
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Bichen Wu, Ruizhe Cheng, Peizhao Zhang et al.
Data Poisoning Won’t Save You From Facial Recognition
Evani Radiya-Dixit, Sanghyun Hong, Nicholas Carlini et al.
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Wenhao Li, Xiangfeng Wang, Bo Jin et al.
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Prashant Khanduri, Haibo Yang, Mingyi Hong et al.
Declarative nets that are equilibrium models
Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin et al.
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver, Marc Anton Finzi, Samuel Don Stanton et al.
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang, Baixu Chen, Jianmin Wang et al.
Deep Attentive Variational Inference
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld et al.
Deep AutoAugment
Yu Zheng, Zhi Zhang, Shen Yan et al.
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu, Tianlong Chen, Zahra Atashgahi et al.
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang, Aleksandar Botev, James Martens
Deep Point Cloud Reconstruction
Jaesung Choe, ByeongIn Joung, Francois Rameau et al.
Deep ReLU Networks Preserve Expected Length
Boris Hanin, Ryan Jeong, David Rolnick
Defending Against Image Corruptions Through Adversarial Augmentations
Dan Andrei Calian, Florian Stimberg, Olivia Wiles et al.