Papers
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao, Shiyu Chang, Dr.Regina Barzilay
Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min, Jiafan He, Tianhao Wang et al.
Learning Symmetric Embeddings for Equivariant World Models
Jung Yeon Park, Ondrej Biza, Linfeng Zhao et al.
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
Max B Paulus, Giulia Zarpellon, Andreas Krause et al.
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Mingrui Zhang, Jianhong Wang, James B Tlhomole et al.
Learning to Hash Robustly, Guaranteed
Alexandr Andoni, Daniel Beaglehole
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Xiang Gao, Yuqi Zhang, Yingjie Tian
Learning to Infer Structures of Network Games
Emanuele Rossi, Federico Monti, Yan Leng et al.
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Luc Brogat-Motte, Rémi Flamary, Celine Brouard et al.
Learning to Separate Voices by Spatial Regions
Alan Xu, Romit Roy Choudhury
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Qingqing Zhao, David B Lindell, Gordon Wetzstein
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
Sokbae Lee, Serena Ng
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
David Ireland, Giovanni Montana
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Sihang Li, Xiang Wang, An Zhang et al.
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
David Woodruff, Amir Zandieh
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk, Rafał Michaluk, Lukasz Garncarek et al.
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Johannes Brandstetter, Max Welling, Daniel E Worrall
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Pedro J Soto, Ilia Ilmer, Haibin Guan et al.
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann, Kunyang Sun, Bo Zhao et al.
Linear Adversarial Concept Erasure
Shauli Ravfogel, Michael Twiton, Yoav Goldberg et al.
Linear Bandit Algorithms with Sublinear Time Complexity
Shuo Yang, Tongzheng Ren, Sanjay Shakkottai et al.
Linear Complexity Randomized Self-attention Mechanism
Lin Zheng, Chong Wang, Lingpeng Kong
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Tianlong Chen, Huan Zhang, Zhenyu Zhang et al.
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Meyer Scetbon, Gabriel Peyré, Marco Cuturi