Papers
LIPS - Learning Industrial Physical Simulation benchmark suite
Milad LEYLI ABADI, Antoine Marot, Jérôme Picault et al.
LISA: Learning Interpretable Skill Abstractions from Language
Divyansh Garg, Skanda Vaidyanath, Kuno Kim et al.
List-Decodable Sparse Mean Estimation
Shiwei Zeng, Jie Shen
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi et al.
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee et al.
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang et al.
Local Bayesian optimization via maximizing probability of descent
Quan Nguyen, Kaiwen Wu, Jacob Gardner et al.
Local-Global MCMC kernels: the best of both worlds
Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié et al.
Local Identifiability of Deep ReLU Neural Networks: the Theory
Joachim Bona-Pellissier, François Malgouyres, Francois Bachoc
Local Latent Space Bayesian Optimization over Structured Inputs
Natalie Maus, Haydn Jones, Juston Moore et al.
Locally Hierarchical Auto-Regressive Modeling for Image Generation
Tackgeun You, Saehoon Kim, Chiheon Kim et al.
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
Haanvid Lee, Jongmin Lee, Yunseon Choi et al.
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Mengwei Ren, Neel Dey, Martin Styner et al.
Locating and Editing Factual Associations in GPT
Kevin Meng, David Bau, Alex Andonian et al.
LOG: Active Model Adaptation for Label-Efficient OOD Generalization
Jie-Jing Shao, Lan-Zhe Guo, Xiao-wen Yang et al.
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
Jordan Awan, Jinshuo Dong
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
Scott Lowe, Robert Earle, Jason d'Eon et al.
Logical Credal Networks
Radu Marinescu, Haifeng Qian, Alexander G. Gray et al.
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
Xinyu Pi, Wanjun Zhong, Yan Gao et al.
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen, Samuel Daulton, Michael A Osborne
Log-Polar Space Convolution Layers
Bing Su, Ji-Rong Wen
Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning
Yuchong Sun, Hongwei Xue, Ruihua Song et al.
Long Range Graph Benchmark
Vijay Prakash Dwivedi, Ladislav Rampášek, Michael Galkin et al.